socw 6446

 

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Assignment: Eating Disorders

Eating disorders can plague both males and females, and they generally have different unattainable physical appearance-related goals. Males may feel the need to develop large muscles and are more vulnerable to taking drugs or embarking on exercise regimens that move them in that direction. For males who are obese or disinterested in athletics, there may be considerable social pressure and harassment to increase their muscle mass or overall strength. Females tend to gain weight and body fat during puberty. This tendency is in direct opposition to the “skinny” images they are exposed to through the media. As a consequence, girls are more likely to diet and exercise in ways that emphasize thinness and weight loss instead of fitness. These actions can result in eating disorders. Anorexia nervosa, the act of starving oneself, and bulimia nervosa, the act of binging and purging, are chronic conditions among many children and adolescents.

For this Assignment, consider the differences between normal variations in body image and what constitutes an eating disorder. In addition, consider what types of interventions are most effective with children and adolescents with eating disorders.

The Assignment (2–3 pages):

  • Explain two differences between normal variations of body image and a diagnosable eating disorder.
  • Explain three key elements that you would include in an intervention for the prevention of eating disorders.
  • Explain which of the three key elements would be developmentally appropriate for children and developmentally appropriate for adolescents, and explain why.
  • Explain which of the three key elements might apply best to males and which of the three key elements might apply best to females, and explain why. Be specific.
  • Justify your response using the week’s resources and the current literature.

Body Image 1 (2004) 15–28

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Body image in children and adolescents:
where do we go from here?

Linda Smolak∗

Department of Psychology, Kenyon College, Gambier, OH 43022, USA

Received 15 June 2003; received in revised form 17 July 2003; accepted 17 July 2003

Abstract

During the past two decades, there has been an explosion of research concerning body image in children and adolescence.
This research has been fueled both by concern about the effects of poor body image in children and adolescents themselves and
by the assumption that body dissatisfaction during childhood and adolescence creates risk for the development of body image
and eating disturbances as well as depression in adulthood. The extant research, however, has remained largely descriptive and is
marked by methodological problems. The purpose of the present paper is to identify substantial gaps in the literature concerning
body image in children and adolescents. The focus is on four major issues: (1) measurement, (2) epidemiological data, (3)
developmental trends, and (4) the meaning of gender. Addressing these and related questions will aid in the development of
treatment and prevention programs.
© 2003 Elsevier B.V. All rights reserved.

Keywords:Childhood; Measurement; Development; Gender

Introduction

It is invariably instructive to interview children
about their appearance. There are the children, most
typically average size girls, who lower their eyes,
heads, and voices as they answer the questions on the
Body Esteem Scale (BES;Mendelson & White, 1993)
and tell us that no, they do not like the way they look
in pictures, yes, they wish they were thinner, and no,
their classmates do not want to look like them—why
would anyone want to look like them? There are the
young children who are already modifying what they
eat or doing aerobics with their moms in order to

∗ Tel.: +1-740-427-5374; fax:+1-740-427-5237.
E-mail address:smolak@kenyon.edu (L. Smolak).

lose weight. They surprise us with their knowledge of
weight loss and body sculpting techniques, specify-
ing commercial diet programs, such as Jenny Craig,
by name. Even more stunning was the first grader
who told us you would need to throw up after eat-
ing or the elementary schoolers who thought plastic
surgery would be necessary to achieve the body ideal
portrayed by Christina Aquilera or Britney Spears
(Murnen, Smolak, Mills, & Good, in press).

These experiences point to one of the reasons re-
searchers, educators, and parents are concerned about
body image in children. It is clear that some children
are already worried about their ability to look “good
enough” to be accepted by others. They are saddened
and embarrassed by their looks. They are already try-
ing food restriction and exercise techniques to change

1740-1445/$ – see front matter © 2003 Elsevier B.V. All rights reserved.
doi:10.1016/S1740-1445(03)00008-1

16 L. Smolak / Body Image 1 (2004) 15–28

their bodies. Some of these attempts may be health
endangering. Thus, there seem to be children whose
lives are already being negatively affected by poor
body image.

These anecdotes also raise the possibility that the
foundation of body dissatisfaction is laid in childhood.
There is prospective, longitudinal evidence that ado-
lescent body dissatisfaction and especially concerns
about being or becoming fat is related to the develop-
ment of eating problems, eating disorders, and depres-
sion (e.g.,Leon, Fulkerson, Perry, & Early-Zald, 1995;
McKnight Investigators, 2003; Stice, 2002; Stice &
Bearman, 2001; Stice, Hayward, Cameron, Killen, &
Taylor, 2000; Wichstrom, 1999). Finding the roots of
this risk factor will be crucial in both the prevention
and treatment of eating disorders and depression.

But experiences and anecdotes are not data. There
is now a sizeable body of studies of body image in
children and adolescents (for reviews, seeRicciardelli
& McCabe, 2001a; Smolak & Levine, 2001), but there
are even more unanswered questions. The purpose of
this paper is to raise four broad questions, each with
several accompanying specific issues that need to be
addressed empirically. These issues focus on (1) mea-
surement, (2) epidemiological data, (3) developmental
trends, and (4) the meaning of gender. Research on
these, and related, questions will expand our knowl-
edge base about body image in children which will,
in turn, provide an empirical foundation for preven-
tion and treatment programs for body image and eat-
ing problems.

How should we define and measure body image
in children?

Researchers have long argued that body image
is multidimensional with at least perceptual, affec-
tive, cognitive, evaluative, and investment/behavioral
components (e.g.,Muth & Cash, 1997; Thompson,
Heinberg, Altabe, & Tantleff-Dunn, 1999). These dis-
tinctions have been supported empirically in adoles-
cents and adults (e.g.,Muth & Cash, 1997; Thompson,
Altabe, Johnson, & Stormer, 1994). These distinctions
have rarely been addressed in research with children,
though they occasionally surface in research with ado-
lescents (e.g.,Ricciardelli & McCabe, 2003). Indeed,
several of the measures of body esteem commonly

used with children, such as the BES, cover a broadly
defined construct and do not allow the researcher to
specify the body esteem problem.

In addition, current research does not generally
have a way to identify problematic levels of body
dissatisfaction. AsCash (2002a)has argued with
respect to defining “negative body image,” dissatis-
faction alone is an insufficient criterion; the emotional
and behavioral consequences of such dissatisfaction
must the considered. If body dissatisfaction is in
fact a “normative discontent” (Rodin, Silberstein, &
Striegel-Moore, 1985) among girls and women, it is
important to distinguish the girl who is engaging in
socially sanctioned “fat talk” for the sake of seeming
friendly from the child who is on a path to eating
disorders or depression. While a few studies have
identified “cut-offs” for weight concerns among ado-
lescents for identifying girls at risk for developing eat-
ing problems (e.g.,Killen et al., 1996), such research
is not available for children. Nor have similar cut-offs
been established for ethnic minority girls or for
boys.

Evaluative body image

Body image evaluation, which refers to how sat-
isfied one is with one’s body (Muth & Cash, 1997),
is probably the most common aspect of body image
that is measured in children. This is also sometimes
referred to as attitudinal body image (Gardner, 2002).
Both figure drawings and questionnaires have been
used to assess body dissatisfaction in children and ado-
lescents.

Being able to evaluate one’s body requires that the
child can assess her/his own body, has an ideal to
which to compare her/his body, and is capable of mak-
ing such a comparison. It is possible that one must be
more than aware of the ideal; perhaps the ideal needs
to be internalized (Thompson & Stice, 2001) before
meaningful body dissatisfaction will develop. Clearly,
these components are in place by adolescence. But
when do they first appear?

In terms awareness of the culturally defined ideal
body, there are data indicating that 5 year olds
have absorbed the cultural bias against fat peo-
ple (Cramer & Steinwert, 1998; Musher-Eizenman,
Holub, Edwards-Leeper, Persson, & Goldstein, 2003).
Three year olds may also be aware of the anti-fat

L. Smolak / Body Image 1 (2004) 15–28 17

prejudice but they are less committed to it. They
are less likely to ascribe negative characteristics to
fat children than 5 year olds are (Musher-Eizenman
et al., 2003). However, the 5 year olds have a wider
range of what constitutes an acceptable body type
than do adults (Musher-Eizenman et al., 2003).

Unfortunately, these studies are marked by method-
ological problems. The samples tend to be small
as well as white and middle-class, the designs are
cross-sectional, and there are questions about the
measures. For example, it is not clear that preschool
and even early elementary school children can use
checklists of fairly abstract personality characteris-
tics (Musher-Eizenman et al., 2003). Indeed, they do
not use these types of terms to describe other people
(Ewell, Smith, Karmel, & Hart, 1996). Researchers
have not looked at whether measures such as the
Sociocultural Attitudes towards Appearance Ques-
tionnaire (SATAQ;Heinberg, Thompson, & Stormer,
1995) that measure awareness and internalization of
the thin-ideal are valid with preschool and early ele-
mentary school children, although revised forms do
appear to have validity with adolescents (Smolak,
Levine, & Thompson, 2001). Musher-Eizenman et al.
(2003) developed a story-based measure of fat prej-
udice. However, they do not provide psychometric
data, such as test–retest or internal consistency for
the measure. There are, then, questions as to how
to measure body ideal and fat prejudice in young
children.

There are also questions as to how children report
their “current” body types. Ideally, construct validity
of a measure would be assessed by correlating the
child’s actual BMI with the selected “current” figure
(in figural measures) or the chosen body shape cat-
egory (in questionnaires). Unfortunately, BMI stan-
dards vary by age and gender. Therefore, it is not clear
that BMI in preschoolers carries the same meaning that
it does in adults. Researchers have used BMI, BMI per-
centile (based, for example, on the Centers for Disease
Control data), and ponderal index (height/ 3


weight)

to assess levels of weight for height among children.
Without a valid criterion, it will be difficult to estab-
lish the construct validity of the child’s own body rat-
ings. Research must examine the relationships of BMI,
BMI percentiles, and ponderal index in young chil-
dren to future weight, body dissatisfaction, and eating
problems.

Figure drawings

Despite the problems with establishing the validity
of the current and ideal body shape components, there
are several versions of figure drawings that have been
used in research with children and adolescents. For
many of these, few or no psychometric data are avail-
able (seeGardner, 2001, 2002, for reviews). Proba-
bly the most commonly used of child figure drawings
measure was developed byCollins (1991). In her arti-
cle, Collins (1991)reports an overall 3-day test–retest
coefficient for current self of first to third graders of
0.71. She does not report this correlation by grade
though she notes that figure selections “were stable in
many instances. . . but dropped sporadically in others”
(Collins, 1991, p. 203) when the analyses were per-
formed by grade and gender. The test–retest correla-
tions for other figure selections, including ideal self,
ideal other child, and ideal adult, did not reach the
acceptable level of 0.70 despite an interval of only
3 days. Furthermore, criterion validity correlations,
though statistically significant, were not impressive.
The correlation between pictorial self-selection and
weight was 0.36 while the correlation between BMI
and self rating was 0.37.

There are even fewer data available for preschool
age children. Not surprisingly, the news is worse.
Using an adaptation ofCollins’s (1991) figures,
Musher-Eizenman et al. (2003)found no correlation
between preschool children’s height or weight and
their “current” body size rating. They did find a sub-
stantial correlation of 0.84 between the children’s
mothers’ ratings of maternal current body size and ma-
ternal BMI. Thus, while heavier adult women actually
select drawings depicting heavier people, children’s
selections are unrelated to their actual body size.

Quite simply, we do not have the validity data
to reliably use figure drawings with young children
(approximately≤8 years old). In fact, the data have
not been collected to clearly indicate at what age the
current and ideal ratings, and hence the body dissat-
isfaction measures they constitute, become reliable,
although questionnaire data indicate that adolescents’
ratings should be reliable.

Questionnaires

Many researchers have simply asked adolescents a
single question such as “How satisfied are you with

18 L. Smolak / Body Image 1 (2004) 15–28

your appearance?” The only construct validity we have
for such questions is that they often show the expected
correlations with weight control strategies or eating
problems. Typically, test–retest is not reported.

One of the best available scales for assessing body
dissatisfaction among older children and adolescents
is the Eating Disorders Inventory Body Dissatisfaction
scale (EDI-BD;Garner, Olmstead, & Polivy, 1983).
Adequate internal consistency has been reported with
girls as young as 8 and for both boys and girls aged
11–18 years (Shore & Porter, 1990; Wood, Becker, &
Thompson, 1996). It also does seem to focus on the
evaluation component of body image. However, be-
cause this scale was developed to focus specifically
on body areas of greatest concern to females with eat-
ing disorders, its content narrowly emphasizes feelings
about one’s hips, thighs, buttocks, and stomach.

Several other measures, especially the BES
(Mendelson & White, 1993) and weight concerns
(Killen, 1996; Shisslak et al., 1999) have also shown
good internal consistency and reasonable test–retest
reliability. In the case of weight concerns, these forms
of validity have been demonstrated in children as
young as fourth grade (Shisslak et al., 1999). Further-
more, weight concerns has been shown to predict the
development of eating disorders, at least among ado-
lescents (Killen et al., 1996; McKnight Investigators,
2003). Unfortunately, weight concerns mixes evalua-
tive and investment aspects of body image and so can
be difficult to interpret. Furthermore, one attempt to
use it with 5–9 year olds indicated poor internal con-
sistency (α < 0.70; Davison, Markey, & Birch, 2003).

Affective body image

There are several self-esteem scales that tap feelings
about body or appearance in children and adolescents.
These are only occasionally used by body image re-
searchers. However, some of them do demonstrate
at least internal consistency and test–retest reliabil-
ity and so should be considered more thoroughly by
body image researchers. They might even serve as
criterion variables for researchers trying to develop
“purer” measures of body image focusing on mus-
cles or weight. These scales include the Self-Image
Questionnaire for Young Adolescents (Petersen,
Schulenberg, Abramowitz, & Offer, 1984), the Offer
Self Image Questionnaire (Offer, Ostruv, & Howard,

1984), and the Harter Scales (Harter, 1985). Harter’s
Scales are applicable to both children and adolescents
and so may be particularly useful in longitudinal
research.

Body image investment

Body image investment involves both cogni-
tive and behavioral indicators of the importance of
one’s appearance to one’s sense of self. Several re-
searchers have offered lists of weight control tech-
niques or muscle-building techniques to boys and
girls (e.g.,Levine, Smolak, & Hayden, 1994; Shisslak
et al., 1999; Smolak et al., 2001). Perhaps one of
the better-developed measures isRicciardelli and
McCabe’s (2002)Body Change Inventory. This scale
consists of three subscales: strategies to decrease body
size, strategies to increase body size, and strategies
to increase muscle size. As such, it is applicable to
both boys’ and girls’ body concerns since boys may
be as interested in gaining as in losing size (Smolak
& Levine, 2001). There is also some evidence that
African American girls may be interested in gaining
size (Thompson, Corwin, & Sargent, 1997), so this
scale may be of interest to researchers investigating
ethnic differences in body image.Ricciardelli and
McCabe (2002)report extensive exploratory and con-
firmatory factor analyses in the development of these
scales as well as concurrent and discriminant validity.
The scale was developed for use with adolescents,
with 11 year olds being the youngest children in their
samples.

Body image schema

Several authors have suggested that a body image
schema guides the interpretation of sociocultural in-
fluences, such as media images (Cash, 2002b; Markus,
Hamill, & Sentis, 1987; Smolak & Levine, 1994, 1996,
2001; Smolak, Levine, & Schermer, 1998; Vitousek &
Hollon, 1990). The schema serves as a mediator be-
tween the sociocultural influences and poor body im-
age. The schema is thus crucial in understanding why
some people are so negatively affected by sociocul-
tural influences while others are not.

Smolak and Levine (1994, 2001)have further ar-
gued that such a schema, which they term a “thinness
schema,” develops during childhood and is in place,

L. Smolak / Body Image 1 (2004) 15–28 19

at least in an immature form, by early adolescence.
They suggest, then, that young children will be rel-
atively less resistant to the messages in universal
prevention programs. These children will not yet have
integrated beliefs about appearance—including cul-
tural ideals, the importance of meeting such ideals,
and the means to attain such an appearance—with
each other into a cognitive schema. Furthermore, the
children will not have fully integrated such ideas into
their self-systems. It is for this reason that Smolak and
Levine have argued strongly for universal prevention
programs aimed at elementary school age children.

The ability to measure the development of body im-
age schemas has theoretical and applied importance.
Cash, Melnyk, and Hrabosky (in press)have devel-
oped a measure to assess body image schemas among
adults. The Appearance Schemas Inventory-Revised
(ASI) has two factors. One factor measures the
self-evaluative salience of one’s appearance (e.g.,
“What I look like is an important part of who I am.”
“When I meet people for the first time, I wonder
what they think about how I look.”), while the other
factor assesses the simpler motivational salience of
appearance (e.g., “Before going out, I make sure
that I look as good as I possibly can”) (Cash et al.,
in press). Cash and his colleagues have presented
substantial psychometric information concerning this
scale using a college-age sample.

No comparable measure is available for children
or even young adolescents. Given the argument that
the thinness schema is gradually constructed during
childhood (Smolak & Levine, 1994, 1996, 2001), it
will be crucial to develop and validate a measure that
might tap into the developmental process.

Summary

There are tools for measuring body image in chil-
dren. As one might expect, they are not as extensively
developed as those available for adults and even for
adolescents. What is surprising is how very lim-
ited our assessment arsenal is. We are especially ill
equipped to measure body image in children who
are under 10 (third grade or younger in the United
States). It is absolutely imperative that new measures
be developed and that both new and existing measures
be more rigorously subjected to psychometric evalua-
tion. Such work is time consuming and can even seem

tedious at times. It is often difficult to get schools to
agree to participate in research whose primary aim is
assessment development. Yet, the questions raised in
the remainder of this chapter—and indeed all ques-
tions concerning body image in children—cannot be
answered without such research.

How are body image problems distributed?

In reading the popular press, it is not unusual to
see figures suggesting that as many as 60% of ele-
mentary school girls are dissatisfied with their bodies.
Such numbers are usually based on a single study. In
reviewing several studies,Smolak et al. (1998)con-
cluded that it was fairly common to find that about
40% of late elementary school (typically fourth and
fifth grade) girls reported body dissatisfaction.

Even this is a misleading number, however. First,
the studies have fairly small samples, at least in terms
of epidemiology. Second, the samples are overwhelm-
ingly white. It is not clear that girls from ethnic mi-
nority groups, particularly black girls, share the same
body image concerns as white girls do. Third, there are
several different measures used in the studies, some of
which focused on body in general, others on weight
and shape per se.

These concerns do not even address several im-
portant limitations. First, boys are not well repre-
sented. While research is now appearing that looks at
boys’ body image (e.g.,Corson & Andersen, 2002;
Ricciardelli & McCabe, 2003; Smolak et al., 2001),
there are no epidemiological data available. Second,
ethnic groups’ differences are poorly understood.
Third, we have few data on children under 10.

Such limitations make it difficult to establish when
body dissatisfaction becomes a problem. For exam-
ple, when are ideal-current figure rating differences
large enough to indicate a body image problem may
exist? Without large-scale standardization studies and
epidemiological data, it is difficult to know what is an
unusual or pathological level of body dissatisfaction.

What are the developmental trends in
body image development?

Similarly, we know little about the development
of body image, particularly during the preschool and

20 L. Smolak / Body Image 1 (2004) 15–28

early elementary school years.Davison et al. (2003)
reported an improvement in body esteem during
the early elementary school years (ages 5–9 years).
During middle school, both boys and girls seem to
experience a decrease in body esteem although boys’
decrease may be less dramatic and may show a faster
recovery than girls’ decrease does (e.g.Abramowitz,
Peterson, & Schulenberg, 1984; Rosenblum & Lewis,
1999; Wichstrom, 1999).

It is not yet clear at what point body image becomes
reasonably stable.Davison et al. (2003)reported
significant, but small to moderate (r = 0.23–0.37)
correlations between body esteem at ages 5, 7, and 9,
Smolak and Levine (2001)reported no significant re-
lationships between body esteem measured in grades
1–3 and again 2 years later.Smolak and Levine
(2001) also reported that body esteem measured in
fourth or fifth grade was related to body esteem mea-
sured 2 years later.Cattarin and Thompson (1994)
similarly found that body dissatisfaction was quite
stable in a group of 10–15-year-old girls followed
over a 3-year period. Both theDavison et al. (2003)
and theSmolak and Levine (2001)studies had rela-
tively small samples of white girls, leaving us a long
way from establishing when stability of body image
occurs.

Developmental trends must be mapped for the var-
ious components of body image. It is not necessarily
the case that evaluation, affect, and investment develop
in tandem. Indeed, it seems likely that evaluation pre-
dates investment. Some studies have found, for exam-
ple, substantially fewer elementary school aged girls
engaging in dieting than reporting body dissatisfaction
(e.g.Smolak et al., 1998). This finding is underscored
by the considerably lower correlations between body
dissatisfaction and measures of dieting in elementary
school girls when compared to those of adults (Smolak
& Levine, 2001). The value of either the individual
components or their interrelationships to predict de-
pression or eating problems or even later body image
problems is also an important developmental issue.

Risk factors and protective factors for the devel-
opment of body image problems may also change.
Several risk factors (seeStice, 2001, 2002, for re-
views) that appear to foster body image problems in
adolescence and adulthood also may be operative in
childhood. For example, media influences and parental
comments appear to affect body image by late ele-

mentary school (e.g.,Field et al., 1999; Smolak et al.,
1998; Taylor et al., 1998). Sexual harassment is re-
lated to poorer body esteem, at least among girls, in
elementary school (Murnen & Smolak, 2000). Many
of these studies are cross-sectional and most involve
only white girls. There is much work to be done on
risk factors for body image problems, particularly dur-
ing the preschool and early elementary school years.

BMI may be a particularly interesting example
of a risk factor whose meaning may change across
childhood. BMI is correlated with body dissatisfac-
tion in both adolescent and adult men and women.
Body dissatisfaction may show a curvilinear relation-
ship for men and a linear relationship for women and
concerns about being fat may be more clearly tied
to being overweight for men than for women (e.g.,
Dornbusch et al., 1984; McCreary, 2002; Muth &
Cash, 1997). In the preschool years, children’s body
size is not related to their appraisal of their current
body type (Musher-Eizenman et al., 2003). Davison
et al. (2003)reported small but significant correla-
tions between BMI and body dissatisfaction in 5–9
year olds. The size of the correlations increased with
age (r = 0.13–0.27). Davison, Markey, and Birch
(2000) reported a correlation of 0.17 between BMI
and body dissatisfaction for 5-year-old girls while
the comparable correlation for the girls’ mothers was
0.77 and for their fathers was 0.61. Weight concerns
were not associated with weight status among the
5 year olds.

The lesser strength of the relationships between
BMI and body esteem in younger children is con-
sistent with the argument that fat prejudice increases
with age (Cramer & Steinwert, 1998; Wardle, Volz, &
Golding, 1995). It is also consistent with Levine and
Smolak’s argument (Levine et al., 1994; Smolak &
Levine, 2001) that the “thinness schema,” a cognitive
structure integrating thin-ideal, body dissatisfaction,
and weight control techniques, may be less consoli-
dated in younger children than in adolescents. If this
is so, then elementary school may be a particularly
appropriate time for universal programs aimed at pre-
venting body image and eating problems. Thus, the
BMI-body dissatisfaction relationship demonstrates
the importance of charting changing patterns in the
development of body image.

Even among adults, there is little research concern-
ing factors that might protect against the development

L. Smolak / Body Image 1 (2004) 15–28 21

of body image and eating problems (Crago, Shisslak,
& Ruble, 2001). Murnen et al. (in press)reported that
elementary school girls who actively reject the sexu-
alized thin-ideal media image of women have higher
body esteem.Smolak, Murnen, and Ruble (2000)
found that high school girls participating in non-elite
sports had better body esteem whileGeller, Zaitsoff,
and Srikameswaran (2002)reported that basing com-
petence on academic and other activities (including
sports), rather than on appearance, was associated with
more positive body esteem in high school girls. In 5-
and 7-year-old girls, participation in aesthetic sports
(e.g., dance or gymnastics) has been correlated with
higher weight concerns, a relationship that echoes that
found with adults (Davison, Earnest, & Birch, 2002).
However, participation in non-aesthetic sports (e.g.,
basketball or soccer) did not emerge as a protective
factor. This may be another example of a changing re-
lationship between a risk or protective factor and body
image. It is possible that non-aesthetic sports partic-
ipation means something different to younger girls
than to adolescents. Currently, we do not have enough
data to definitively document developmental changes
in this relationship much less the basis for those
changes.

While first graders are capable of social com-
parison, older children engage in the process much
more frequently (Smolak, 1999). Social comparison
may well be an important mediator in the develop-
ment of body esteem (e.g.Stormer & Thompson,
1996). Similarly, self-esteem becomes more differ-
entiated with age (Harter, 1986). Self-esteem is also
more likely to suffer as social comparison becomes
a more powerful source. Thus, the mediating roles
of social comparison and self-esteem, as well as the
relationship between them, may change as children
develop.

Developmental considerations have not yet been
adequately addressed in the body image literature.
Indeed, in some areas we have virtually no data
concerning the developmental changes in risk or pro-
tective factors. There are even relatively few data
available on the nature of changes in body image it-
self, particularly if one wishes to examine either the
components of body image or the differences in body
image development by ethnicity, gender, or culture.
Such information will be critical to the development
of effective prevention and treatment programs.

What is the role of gender in body image
development?

Body image is a strongly gendered phenomenon.
In the past, a statement like this has often been inter-
preted as meaning that boys and men do not have body
image problems. This is clearly not true. Nonetheless,
it is evident that the nature, risk factors, outcomes, and
probably the developmental course of body dissatis-
faction differ by gender. While it is important to iden-
tify gender differences in patterns in the development
of body image, it is probably more crucial to work
toward understanding why gender differences exist at
all.

Patterns

Until recently, virtually all research on body dissat-
isfaction in children and adolescents focused on con-
cerns about being too fat and methods to prevent or
reduce body fat. The findings concerning dissatisfac-
tion about being fat are quite clear. Girls are more
worried about fat than boys are (seeSmolak & Levine,
2001 for a review). This gender difference is evident
in elementary school and in every American ethnic
group that has been studied. It is related to the onset of
gender differences in depression in early adolescence
(Wichstrom, 1999). It is likely that it is one of the con-
tributing factors to the gender differences in the eating
disorders, anorexia nervosa (AN) and bulimia nervosa
(BN). This is a critically important gender difference,
then, since it is related to the development of a vari-
ety of pathological, and, in the case of AN, potentially
fatal, outcomes.

One of the reasons girls are more dissatisfied in
terms of body fat is they are more likely to judge
themselves as fat when they are average-weight, and
even under-weight (e.g.,Dornbusch et al., 1984;
McCreary, 2002). Boys and men are most likely to
be concerned about being fat when they actually
have high BMIs. This may reflect the greater societal
emphasis on the appearance of women’s rather than
men’s bodies (Fredrickson & Roberts, 1997).

On the other hand, boys are more likely than girls to
want to increase the size of their muscles (seeCorson
& Andersen, 2002; McCabe & Ricciardelli, in press,
for reviews). By sometime in adolescence, the de-
sire for larger muscles becomes about equivalent to

22 L. Smolak / Body Image 1 (2004) 15–28

or greater than the interest in losing weight among
boys (e.g.,Furnham & Calman, 1998; Ricciardelli &
McCabe, 2001b,c). If the boys who are dissatisfied
with their bodies because they are too fat are combined
with those who are unhappy because their muscles
are too small, then the frequency of body dissatis-
faction is similar among adolescent boys and girls
(McCabe & Ricciardelli, in press). It is important to
note, however, that this isnot true of children younger
than about age 11 years. Young boys are apparently
not very concerned about building muscles, although
the research is very sparse (e.g.,Polce-Lynch, Myers,
Kilmartin, Forssmann-Falck, & Kliewer, 1998). This
may reflect an important gender difference in the so-
ciocultural demands concerning bodies. While prepu-
bertal boys are not expected to meet the adult male
muscular body ideal, young girls are expected to try
to achieve the adult female thin body ideal. Hence, the
pressure on girls to achieve a certain body type may be-
gin earlier than the comparable pressure on boys. This,
in turn, might mean that issues of body image are more
fully incorporated in the self-systems of girls than of
boys. This is an important issue for future research.

Boys’ concerns about muscularity also carry
risk. By middle school, there is an association be-
tween concerns about muscularity and the use of
muscle-building techniques (Ricciardelli & McCabe,
2003; Smolak et al., 2001). Anabolic steroid and food
supplement abuse are among the techniques that boys
use to gain muscle. Boys are more likely to use these
techniques than girls are. Furthermore, steroid abuse
may be at least as common among adolescent boys as
AN is among adolescent girls (McCabe & Ricciardelli,
in press). The effects of steroid use in older boys and
men are well established (National Institutes of Drug
Abuse, 2000); indeed, anabolic steroid abuse may
even be fatal. These effects may be exacerbated dur-
ing the developmental period. This may also be true
of food supplements, such as ephedra, whose effects
are generally poorly understood. There is a desper-
ate need for research that more intensely examines
the link between body image and steroid and food
supplement abuse in boys.

At the extreme end, behavioral outcomes of body
dissatisfaction may be comparably dangerous for boys
and for girls. At more moderate levels, however, body
image may be more problematic for girls. Some evi-
dence suggests that girls are more likely to act on their

body dissatisfaction (e.g.,Hill, Draper, & Stack, 1994;
Kelly, Ricciardelli, & Clarke, 1999; Smolak & Levine,
1994; Smolak et al., 2001). This might be interpreted
as indicating that boys have lower body image in-
vestment, a finding consistent with the adult literature
(Cash et al., in press; Muth & Cash, 1997). It is es-
pecially the case that girls are more likely to engage
in calorie restrictive dieting than boys are (Smolak
& Levine, 2001). Dieting has short-term effects, in-
cluding fatigue, headaches, and irritability. It also has
long-term health-endangering effects, including eating
problems, obesity, growth stunting, and bone density
loss (e.g.,Davis, Apley, Fill, & Grimaldi, 1978; Stice,
Cameron, Killen, Hayward, & Taylor, 1999). These
important problems may well be intensified when di-
eting occurs during childhood and adolescence.

Girls’ greater investment in body image may be
rooted in different cultural definitions of the female
versus the male body (Bordo, 1993; Fredrickson &
Roberts, 1997). While the male body is viewed as
agentic and active, the female body is an object to
be looked at, particularly by men. The function of
women’s bodies, then, is to be attractive, to be sexually
pleasing to men. Girls learn this lesson early with mes-
sages coming from media, peers, and parents (Smolak
& Murnen, 2001, in press). Messages to girls may be
more consistent, both in terms of number of sources
and the clarity of the message, than those directed at
boys. This may suggest etiological differences in body
image problems for girls and for boys.

Etiology

It is important that researchers increasingly focus
on the process of the gendered development of body
image. There are at least two broad questions concern-
ing gender differences in the etiology of body image.
First, there is the issue of whether boys and girls have
different experiences in terms of their bodies. Second,
we must address whether these experiences have the
same meaning for boys and girls.

Experiences

body image researchers have emphasized socio-
cultural factors, particularly peer, parent, and media
influences, as possible contributors to the develop-
ment of body dissatisfaction. While there are some

L. Smolak / Body Image 1 (2004) 15–28 23

similarities in boys’ and girls’ exposure to negative
influences, there are also some potentially important
differences. Not surprisingly, there is more evidence
available for girls than for boys, and there is more
research concerning wanting to be thinner than want-
ing to be more muscular. Therefore, even at the basic
level of describing gender differences in exposure to
body-related influences, substantially more research is
needed.

Parents generally like the way their young children
look, though they become more dissatisfied as the
children get older (Striegel-Moore & Kearney-Cooke,
1994). Parents also do not appear to direct more com-
ments about the child’s body to their daughters than
to their sons (Smolak, Levine, & Schermer, 1999;
Striegel-Moore & Kearney-Cooke, 1994). By adoles-
cence, girls may be more likely to actually discuss
weight loss with their mothers than boys are although
there is still no gender difference in direct parental
encouragement for the child to lose weight (Vincent
& McCabe, 2000). High school girls also report more
maternal modeling of weight loss behavior than boys
do (Vincent & McCabe, 2000).

Peer influences also vary by gender. Appearance-
related teasing is the most common form of teasing
among children. Boys are more likely to engage in
teasing than girls are. Accordingly, adolescent boys re-
port more negative comments about their bodies from
their peers than girls do (Vincent & McCabe, 2000).
However, girls are more likely than boys to discuss
weight and weight loss than boys are (Oliver & Thelen,
1996; Vincent & McCabe, 2000). Indeed, girls may
routinely engage in “fat talk,” disparaging their nor-
mal weight bodies for the purpose of fitting in socially
(Nichter, 2000).

Media is a multi-faceted influence on body image
(see Levine and Harrison, in press, for a review). Dif-
ferent television shows portray body image differently
with soap operas showing a more rigidly thin-ideal
for girls than, for example, dramas do. Girls are more
likely to watch soap operas than boys are. Further-
more, the acceptable body type portrayed for women
is narrower than that for men on television and fat
women are the single group most likely to be the tar-
get of jokes. In addition, many more girls’ magazines
focus on appearance than do boys’ magazines (Levine
& Smolak, 1996). Girls begin reading these magazines
on a fairly regular basis in late elementary school.

For example,Field et al. (1999)found that roughly
25% of late elementary school girls read “fashion”
magazines at least twice a week, a number that rises
at least through middle school (Levine et al., 1994).
Little is known about boys’ use of magazines, other
than thatSports Illustrated, a magazine that portrays
active, although sometimes unrealistically muscular,
male bodies, is the one most commonly read. Thus,
this may be another indicator of the greater sociocul-
tural pressure on young girls to achieve a particular
body type.

There are data suggesting that some girls are more
susceptible than others to at least peer and media
influences (e.g.,Levine et al., 1994; Taylor et al.,
1998). Such research is not available yet for boys. Re-
searchers looking at self-esteem and body comparison
as mediators, for example, have generally treated eat-
ing disorders or weight loss or muscle-building tech-
niques as the dependent variable with body dissatis-
faction serving as a predictor variable. Much more re-
search is needed on how children of both genders as-
similate media, peer, and parental messages into their
own body images.

Meaning

There is evidence that the interpretation of cultural
messages varies by gender. Given the extent of be-
havioral and attitudinal gender differences and gender
roles, this does not seem surprising. Yet, few studies
have examined such differences and their implications
for body image development.

Murnen and Smolak (2000)interviewed third
through fifth grade boys and girls about gendered
harassment, behaviors that might be considered early
forms of sexual harassment. Boys and girls reported
equal frequencies of being harassed. However, girls
were more likely than boys to report that victims
would be frightened by the harassment. This is con-
sistent with findings with adolescents suggesting that
girls are more likely than boys to change their be-
havior to avoid harassment (American Association
of University Women, 2001). Murnen and Smolak
(2000) found that girls who were thought victims
would be afraid had lower body esteem than other
girls. Girls who said they did not know how the vic-
tims would react were more likely than other girls to
report lower body esteem. This was not true for boys.

24 L. Smolak / Body Image 1 (2004) 15–28

In fact, overall, frequency of sexual harassment was
negatively correlated with body esteem for girls but
not for boys.

Girls seem to be more directly and extensively af-
fected by media images than boys are (Ricciardelli &
McCabe, 2003; Smolak et al., 2001). Is this because
of characteristics of the media, such as the greater
consistency of the thin-ideal for women than for the
muscular ideal for men? Or is it because the mes-
sage to girls is more salient because it is reinforced
by various forms of media as well as by peers and
parents? Is it because girls are often socialized to be
more “cooperative” and to try to do more to maintain
relationships? These and other hypotheses, which are
applicable to a variety of potential risk factors, deserve
much more research attention.

Ethnicity and culture

There is considerable consensus that sociocultural
factors are keys in understanding the development of
body image. If this is so, then one important tech-
nique for uncovering contributing variables would be
to compare development across ethnic and cultural
groups. Not only might researchers compare factors
between groups, they might also investigate the nature
of intra-group processes.

Despite the likely fruitfulness of a multiethnic,
multicultural approach, the overwhelming research
base for studies of body image in children has been
white and American, British, or Australian. Many
of the issues concerning gender also apply to ethnic
and cultural groups. Indeed, examining cultural dif-
ferences in gender differences and gender differences
within cultures will help us to tease apart influen-
tial variables. Such information will be crucial to
the development of “ethnically sensitive” prevention
programs (Smolak, 1999).

Conclusions

There are a number of findings about body image
in children and adolescents that have been replicated
sufficiently to think of them as facts. Some children
are quite concerned about their body shape, concerned
enough to do something such as diet or exercise in
order to change it. In elementary school, these children

are more likely to be girls than boys. This is true in
every American ethnic group studied to date as well
as in Australian and English children. Black girls may
be somewhat less dissatisfied with their bodies than
other girls are. By adolescence, boys are increasingly
concerned with becoming more muscular.

These trends are problematic for a variety of rea-
sons. Girls who are concerned about being thin are
at risk for dieting which in turn puts them at risk
for eating disorders and obesity. Body dissatisfied
girls are also at risk for depression. Boys who are
invested in becoming more muscular may resort
to health-endangering techniques such as anabolic
steroid use. Dieting and excessive exercise may also
be used to alter one’s body shape. These techniques
have potential short and long-term effects ranging
from fatigue to gastrointestinal distress to joint or
bone injuries.

There is also some evidence as to what factors might
influence the development of poor body image. So-
ciocultural factors such as media, peers, and parents
seem to be instrumental. Anti-fat biases, which first
appear in the preschool years, are also important. In
general, we have more information on these factors,
as well as the outcomes and the developmental trends
of body image, for girls than for boys and for white
children than ethnic minority children.

There are many unanswered questions. Before these
can be thoroughly addressed, we need to develop
better measures of body image, especially in young
children. At the moment, it is difficult to argue that
researchers have even measured body dissatisfaction
in preschoolers. There are also severe limitations on
what type of body image we know how to measure.
Again, this is particularly true of young children.
While researchers have begun to develop more gen-
der sensitive measures of body image, there is still
little research demonstrating the appropriateness of
measures for use with various ethnic groups.

There is also little epidemiological data available.
It is not yet clear how common body dissatisfaction
is at various ages for different genders and ethnic
groups. Given this, it is difficult to assess what levels
of body dissatisfaction are unusual. Such research will
need to be combined with prospective data looking
at pathological outcomes in order to establish what
levels of body dissatisfaction are problematic. These
levels are likely to vary by age, gender, and ethnicity.

L. Smolak / Body Image 1 (2004) 15–28 25

This is also true of developmental trends in body
image. For example, how do the relationships be-
tween risk factors and poor (or excellent) body image
change across development? When does poor body
image become predictive of eating disorders or steroid
abuse? Are the relationships among BMI, dieting,
muscle-building techniques, and body image constant
across development?

Then there is the issue of gender. Body image, as
well as its risk factors and outcomes, is a gendered
phenomenon. Researchers need to investigate the na-
ture, causes, and outcomes of these gender differences.
Understanding why boys and girls differ may help us
to identify risk and protective factors at various stages
of development. This is probably also true of ethnic
group differences. If black girls are indeed more sat-
isfied with their bodies than white girls are, for ex-
ample, then explicating the roots of black girls’ body
satisfaction may help in the more effective design of
prevention programs.

Prevention and treatment programs will benefit from
our increased knowledge of body image development.
The challenges of such research are great, but the ben-
efits are greater.

References

Abramowitz, R., Peterson, A., & Schulenberg, J. (1984). Changes
in self-image during early adolescence. In D. Offer, E. Ostrov,
& K. Howards (Eds.), Patterns of adolescent self-image
(pp. 19–28). San Francisco: Jossey-Bass.

American Association of University Women Educational
Foundation. (2001).Hostile hallways: Bullying, teasing, and
sexual harassment in school. Washington, DC: American
Association of University Women.

Bordo, S. (1993).Unbearable weight: Feminism, Western culture,
and the body. Berkeley: University of California Press.

Cash, T. (2002a). A negative body image: Evaluating
epidemiological evidence. In T. Cash & T. Pruzinsky (Eds.),
Body image: A handbook of theory, research, and clinical
practice (pp. 269–276). New York, Guilford.

Cash, T. (2002b). Cognitive-behavioral perspectives on body
image. In T. Cash & T. Pruzinsky (Eds.),Body image: A
handbook of theory, research, and clinical practice(pp. 38–46).
New York: Guilford.

Cash, T., Melnyk, S., & Hrabosky, J. (in press). The assessment of
body image investment: An extensive review of the Appearance
Schemas Inventory.International Journal of Eating Disorders.

Cattarin, J., & Thompson, J. K. (1994). A three-year longitudinal
study of body image, eating disturbance, and general
psychological functioning in adolescent females.Eating

Disorders: The Journal of Prevention and Treatment, 2, 114–
125.

Collins, M. E. (1991). Body figure perceptions and preferences
among preadolescent children.International Journal of Eating
Disorders, 10, 199–208.

Corson, P., & Andersen, A. (2002). Body image issues among
boys and men. In T. Cash & T. Pruzinsky (Eds.),Body
image: A handbook of theory, research, and clinical practice
(pp. 192–199). New York, Guilford.

Crago, M., Shisslak, C., & Ruble, A. (2001). Protective factors in
the development of eating disorders. In R. Striegel-Moore &
L. Smolak (Eds.),Eating disorders: Innovative directions in
research and practice(pp. 75–90). Washington, DC: American
Psychological Association.

Cramer, P., & Steinwert, T. (1998). Thin is good, fat is bad:
How early does it begin?Journal of Applied Developmental
Psychology, 19, 429–451.

Davis, D., Apley, J., Fill, G., & Grimaldi, C. (1978). Diet and
retarded growth.British Medical Journal, 1, 539–542.

Davison, K., Markey, C., & Birch, L. (2000). Etiology of body
dissatisfaction and weight concerns among 5-year-old girls.
Appetite, 35, 143–151.

Davison, K., Earnest, M., & Birch, L. (2002). Participation in
aesthetic sports and girls’ weight concerns at ages 5 and 7
years.International Journal of Eating Disorders, 31, 312–317.

Davison, K., Markey, C., & Birch, L. (2003). A longitudinal
examination of patterns in girls’ weight concerns and body
dissatisfaction from ages 5 to 9 years.International Journal
of Eating Disorders, 33, 320–332.

Dornbusch, S., Carlsmith, J., Duncan, P., Gross, R., Martin, J.,
Ritter, P., & Siegel-Gorelik, B. (1984). Sexual maturation,
social class, and the desire to be thin among adolescent females.
Journal of Developmental and Behavioral Pediatrics, 5, 308–
314.

Ewell, F., Smith, S., Karmel, M., & Hart, D. (1996). The
sense of self and its development: A framework for
understanding eating disorders. In L. Smolak, M. Levine, &
R. Striegel-Moore (Eds.),The developmental psychopathology
of eating disorders: Implications for research, prevention, and
treatment(pp. 107–134). Mahwah, NJ: Erlbaum.

Field, A., Cheung, L., Wolf, A., Herzog, D., Gortmaker, S., &
Colditz, G. (1999). Exposure to the mass media and weight
concerns among girls.Pediatrics, 103, e36.

Fredrickson, B., & Roberts, T. (1997). Objectification theory:
Toward understanding women’s lived experiences and mental
health risks.Psychology of Women Quarterly, 21, 173–206.

Furnham, A., & Calman, A. (1998). Eating disturbance,
self-esteem, reasons for exercising and body weight
dissatisfaction in adolescent males.European Eating Disorders
Review, 6, 301–314.

Gardner, R. (2001). Assessment of body image disturbance
in children and adolescents. In J. K. Thompson & L.
Smolak (Eds.),Body image, eating disorders, and obesity in
youth: Assessment, prevention, and treatment(pp. 193–214).
Washington, DC: American Psychological Association.

Gardner, R. (2002). Body image assessment of children. In T. Cash
& T. Pruzinsky (Eds.),Body image: A handbook of theory,

26 L. Smolak / Body Image 1 (2004) 15–28

research, and clinical practice (pp. 127–134). New York,
Guilford.

Garner, D., Olmstead, M., & Polivy, J. (1983). Development and
validation of a multidimensional eating disorder inventory for
anorexia nervosa and bulimia.International Journal of Eating
Disorders, 2, 15–34.

Geller, J., Zaitsoff, S., & Srikameswaran (2002). Beyond shape
and weight: Exploring the relationship between nonbody
determinants of self-esteem and eating disorder symptoms in
adolescent females.International Journal of Eating Disorders,
32, 344–351.

Harter, S. (1985).Manual for the self-perception profile for
children. Denver, CO: University of Denver Press.

Harter, S. (1986). Processes underlying the construction,
maintenance, and enhancement of the self-concept in children.
In: J. Suls & G. Greenwald (Eds.),Psychological perspectives
on the self(Vol. 3, pp. 137–180). Hillsdale, NJ: Erlbaum.

Heinberg, L., Thompson, J. K., & Stormer, S. (1995). Development
and validation of the sociocultural attitudes towards appearance
questionnaire.International Journal of Eating Disorders, 17,
81–89.

Hill, A., Draper, E., & Stack, J. (1994). A weight on children’s
minds: body shape dissatisfactions at 9-years-old.International
Journal of Obesity, 18, 383–389.

Kelly, C., Ricciardelli, L., & Clarke, J. (1999). Problem eating
attitudes and behaviors in young children.International Journal
of Eating Disorders, 25, 281–286.

Killen, J. (1996). Development and evaluation of a school-based
eating disorder symptoms prevention program. In L. Smolak,
M. Levine, & R. Striegel-Moore (Eds.),The developmental
psychopathology of eating disorders(pp. 313–340). Mahwah,
NJ: Erlbaum.

Killen, J., Taylor, C. B., Hayward, C., Haydel, K., Wilson, D.,
Hammer, L., Kraemer, H., Blair-Greiner, A., & Strachowski, D.
(1996). Weight concerns influence the development of eating
disorders: A 4-year prospective study.Journal of Consulting
and Clinical Psychology, 64, 936–940.

Leon, G., Fulkerson, J., Perry, C., & Early-Zald, M.
(1995). Prospective analysis of personality and behavioral
vulnerabilities and gender influences in the later development
of disordered eating.Journal of Abnormal Psychology, 104,
140–149.

Levine, M., & Smolak, L. (1996). Media as context for the
development of disordered eating. In L. Smolak, M. Levine, &
R. Striegel-Moore (Eds.),The developmental psychopathology
of eating disorders(pp. 235–257). Mahwah, NJ: Erlbaum.

Levine, M., Smolak, L., & Hayden, H. (1994). The relation of
sociocultural factors to eating attitudes and behaviors among
middle school girls.Journal of Early Adolescence, 14, 471–
490.

Markus, H., Hamill, R., & Sentis, K. (1987). Thinking fat:
self-schemas for body weight and the processing of weight
relevant information.Journal of Applied Social Psychology,
17, 50–71.

McCabe, M., & Ricciardelli, L. (in press). Weight and shape
concerns of boys and men. In J. K. Thompson (Ed.),Handbook
of eating disorders and obesity. New York: Wiley.

McCreary, D. (2002). Gender and age differences in the
relationship between body mass index and perceived weight:
Exploring the paradox.International Journal of Men’s Health,
1, 31–42.

McKnight Investigators (2003). Risk factors for the onset
of eating disorders in adolescent girls: Results of the
McKnight Longitudinal Risk Factor Study.American Journal
of Psychiatry, 160, 248–254.

Mendelson, B., & White, D. (1993).Manual for the Body Esteem
Scale—children. Montreal, Canada: Center for Research in
Human Development, Concordia University.

Murnen, S., & Smolak, L. (2000). The experience of sexual
harassment among grade-school students: Early socialization
of female subordination?Sex Roles, 43, 1–17.

Murnen, S., Smolak, L., Mills, J.A., & Good, L. (in press).
Thin, sexy women and strong, muscular men: Grade-school
children’s responses to objectified images of women and men.
Sex Roles.

Musher-Eizenman, D., Holub, S., Edwards-Leeper, L., Persson, A.,
& Goldstein, S. (2003). The narrow range of acceptable body
types of preschoolers and their mothers.Applied Developmental
Psychology, 24, 259–272.

Muth, J., & Cash, T. (1997). body image attitudes: What difference
does gender make?Journal of Applied Social Psychology, 27,
1438–1452.

Nichter, M. (2000).Fat talk: What girls and their parents say
about dieting. Cambridge, MA: Harvard University Press.

National Institutes of Drug Abuse. (2000). About anabolic steroid
abuse.NIDA Notes, 15. (Available from:http://www.drugabuse.
gov/NIDA Notes/NNVol15N3/tearoff.html; accessed 6/14/03.)

Offer, D., Ostruv, E., & Howard, K. (1984). The self-image of
normal adolescents. In D. Offer, E. Ostruv, & K. Howard (Eds.),
Patterns of adolescent self-image(pp. 5–18). San Francisco:
Jossey-Bass.

Oliver, K., & Thelen, M. (1996). Children’s perceptions of peer
influence on eating concerns.Behavior Therapy, 27, 25–
39.

Petersen, A., Schulenberg, J., Abramowitz, R., Offer, D., & Jarcho,
H. (1984). A self-image questionnaire for young adolescents
(SIQYA): Reliability and validity studies.Journal of Youth and
Adolescence, 13, 93–111.

Polce-Lynch, M., Myers, B., Kilmartin, C., Forssmann-Falck, R.,
& Kliewer, W. (1998). Gender and age patterns in emotional
expression, body image, and self-esteem: A qualitative analysis.
Sex Roles, 38, 1025–1041.

Ricciardelli, L., & McCabe, M. (2001a). Children’s body image
concerns and eating disturbance: A review of the literature.
Clinical Psychology Review, 21, 325–344.

Ricciardelli, L., & McCabe, M. (2001b). Dietary restraint and
negative affect as mediators of body dissatisfaction and bulimic
behaviors in adolescent girls and boys.Behaviour Research
and Therapy, 39, 1317–1328.

Ricciardelli, L., & McCabe, M. (2001c). Self-esteem and negative
affect as moderators of sociocultural influences on body
dissatisfaction, strategies to decrease weight, and strategies to
increase muscles among adolescent boys and girls.Sex Roles,
44, 189–207.

http://www.drugabuse.gov/NIDA_Notes/NNVol15N3/tearoff.html

http://www.drugabuse.gov/NIDA_Notes/NNVol15N3/tearoff.html

L. Smolak / Body Image 1 (2004) 15–28 27

Ricciardelli, L., & McCabe, M. (2002). Psychometric evaluation
of the Body Change Inventory: An assessment instrument for
adolescent boys and girls.Eating Behaviors, 3, 45–59.

Ricciardelli, L., & McCabe, M. (2003). Sociocultural and
individual influences on muscle gain and weight loss strategies
among adolescent boys and girls.Psychology in the Schools,
40, 209–224.

Rodin, J., Silberstein, L., & Striegel-Moore, R. (1985). Women
and weight: A normative discontent. In T. Sonderegger (Ed.),
Nebraska Symposium on Motivation: Vol. 32. Psychology and
gender (pp. 267–308). Lincoln, NB: University of Nebraska
Press.

Rosenblum, G., & Lewis, M. (1999). The relations among body
image, physical attractiveness and body mass in adolescence.
Child Development, 70, 50–64.

Shisslak, C., Renger, R., Sharpe, T., Crago, M., McKnight, K.,
Gray, N., Bryson, S., Estes, L., Parnaby, O., Killen, J., & Taylor,
C. B. (1999). Development and evaluation of the McKnight
Risk Factor Survey for assessing potential risk and protective
factors for disordered eating in preadolescent and adolescent
girls. International Journal of Eating Disorders, 25, 195–214.

Shore, R., & Porter, J. (1990). Normative and reliability data for 11
to 18 year olds on the Eating Disorder Inventory.International
Journal of Eating Disorders, 25, 195–214.

Smolak, L. (1999). Elementary school curricula for the primary
prevention of eating problems. In N. Piran, M. Levine,
& C. Steiner-Adair (Eds.),Preventing eating disorders: A
handbook of interventions and special challenges(pp. 85–104).
Philadelphia: Brunner/Mazel.

Smolak, L., & Levine, M. P. (1994). Toward an empirical basis
for primary prevention eating problems with elementary school
children. Eating Disorders: The Journal of Treatment and
Prevention, 2, 293–307.

Smolak, L., & Levine, M. (1996). Adolescent transitions
and eating problems. In L. Smolak, M. Levine, & R.
Striegel-Moore (Eds.),The developmental psychopathology of
eating disorders: Implications for research, prevention, and
treatment(pp. 207–233). Mahwah, NJ: Erlbaum.

Smolak, L., & Levine, M. (2001). Body image in children.
In J. K. Thompson & L. Smolak (Eds.),Body image,
eating disorders, and obesity in youth: Assessment, prevention,
and treatment (pp. 41–66). Washington, DC: American
Psychological Association.

Smolak, L., Levine, M. P., & Schermer, F. (1998). Lessons from
lessons: An evaluation of an elementary school prevention
program. In W. Vandereycken & G. Noordenbos (Eds.),The
prevention of eating disorders(pp. 137–172). London: Athlone
Press.

Smolak, L., Levine, M. P., & Schermer, F. (1999). Parental
input and weight concerns among elementary school children.
International Journal of Eating Disorders, 25, 263–271.

Smolak, L., Levine, M., & Thompson, J. K. (2001). The use of
the Sociocultural Attitudes towards Appearance Questionnaire
with middle school boys and girls.International Journal of
Eating Disorders, 29, 216–223.

Smolak, L., & Murnen, S. (2001). Gender and eating problems.
In R. Striegel-Moore & L. Smolak (Eds.),Eating disorders:

Innovative directions in research and practice(pp. 91–110).
Washington, DC: American Psychological Association.

Smolak, L., & Murnen, S. (in press). A feminist approach to
eating disorders. In J. K. Thompson (Ed.),Handbook of eating
disorders and obesity. New York: Wiley.

Smolak, L., Murnen, S., & Ruble, A. (2000). Female athletes
and eating problems: A meta-analysis.International Journal
of Eating Disorders, 27, 371–380.

Stice, E. (2001). Risk factors for eating pathology: Recent
advances and future directions. In R. Striegel-Moore & L.
Smolak (Eds.), Eating disorders: Innovative directions in
research and practice(pp. 51–74). Washington, DC: American
Psychological Association.

Stice, E. (2002). Risk and maintenance factors for eating pathology:
A meta-analytic review.Psychological Bulletin, 128, 825–848.

Stice, E., & Bearman, S. (2001). body image and eating
disturbances prospectively predict increases in depressive
symptoms in adolescent girls: A growth curve analysis.
Developmental Psychology, 37, 597–607.

Stice, E., Cameron, R., Killen, J., Hayward, C., & Taylor,
C. (1999). Naturalistic weight-reduction efforts prospectively
predict growth in relative weight and onset of obesity
among female adolescents.Journal of Consulting and Clinical
Psychology, 67, 967–974.

Stice, E., Hayward, C., Cameron, R., Killen, J., & Taylor, C.
(2000). Body image and eating disturbances predict onset of
depression among female adolescents: A longitudinal study.
Journal of Abnormal Psychology, 109, 438–444.

Stormer, S., & Thompson, J. K. (1996). Explanations of body
image disturbance: A test of maturational status, negative verbal
commentary, social comparison, and sociocultural hypotheses.
International Journal of Eating Disorders, 19, 193–202.

Striegel-Moore, R., & Kearney-Cooke, A. (1994). Exploring
parents’ attitudes and behaviors about their children’s physical
appearance.International Journal of Eating Disorders, 15,
377–385.

Taylor, C. B., Sharpe, T., Shisslak, C., Bryson, S., Estes, L., Gray,
N., McKnight, K., Crago, M., Kraemer, H., & Killen, J. (1998).
Factors associated with weight concerns in adolescent girls.
International Journal of Eating Disorders, 24, 31–42.

Thompson, J. K., & Stice, E. (2001). Thin-ideal internalization:
mounting evidence for a new risk factor for body image
disturbance and eating pathology.Current Directions in
Psychological Science, 10, 181–183.

Thompson, J. K., Altabe, M., Johnson, S., & Stormer, S. (1994). A
factor analysis of multiple measures of body image disturbance:
Are we all measuring the same construct?International Journal
of Eating Disorders, 16, 311–315.

Thompson, S., Corwin, S., & Sargent, R. (1997). Ideal body
size beliefs and weight concerns of fourth-grade children.
International Journal of Eating Disorders, 21, 279–284.

Thompson, J. K., Heinberg, L., Altabe, M., & Tantleff-Dunn, S.
(1999). Exacting beauty: Theory, assessment, and treatment
of body image disturbance. Washington, DC: American
Psychological Association.

Vincent, M., & McCabe, M. (2000). Gender differences
among adolescents in family and peer influences on body

28 L. Smolak / Body Image 1 (2004) 15–28

dissatisfaction, weight loss, and binge eating behaviors.Journal
of Youth and Adolescence, 29, 205–221.

Vitousek, K., & Hollon, S. (1990). The investigation of schema
content and processing of eating disorders.Cognitive Therapy
and Research, 14, 191–214.

Wardle, J., Volz, C., & Golding, C. (1995). Social variation
in attitudes to obesity in children.International Journal of
Obesity, 19, 562–569.

Wichstrom, L. (1999). The emergence of gender differences in
depressed mood during adolescence: The role of intensified
gender socialization.Developmental Psychology, 35, 232–
245.

Wood, C., Becker, J., & Thompson, J. K. (1996). Body image
dissatisfaction in preadolescent children.Journal of Applied
Developmental Psychology, 17, 85–100.

  • Body image in children and adolescents: where do we go from here?
  • Introduction
    How should we define and measure body image in children?
    Evaluative body image
    Figure drawings
    Questionnaires
    Affective body image
    Body image investment
    Body image schema
    Summary
    How are body image problems distributed?
    What are the developmental trends in body image development?
    What is the role of gender in body image development?
    Patterns
    Etiology
    Experiences
    Meaning
    Ethnicity and culture
    Conclusions
    References

Available online at www.sciencedirect.com

Cognitive and Behavioral Practice 18 (2011) 5–15
www.elsevier.com/locate/cabp

Integrating Motivational Interviewing and Cognitive Behavioral Therapy in the
Treatment of Eating Disorders: Tailoring Interventions to

Patient Readiness for Change

Josie Geller, St. Paul’s Hospital, Vancouver, and University of British Columbia
Erin C. Dunn, St. Paul’s Hospital, Vancouver

1077
© 20
Publ

This paper focuses on the integration of Motivational Interviewing (MI) and cognitive behavioral therapy (CBT) in the treatment of
eating disorders. Although CBT is regarded as the treatment of choice in this population, it nevertheless has limitations: some patients fail
to engage, drop out from treatment prematurely, or simply do not improve. These are common problems in a population characterized by
high levels of ambivalence about change. MI strategies can assist clinicians in enhancing readiness for change, tailoring interventions to
patient readiness status, and maintaining a therapeutic alliance throughout all stages of treatment. Preliminary research examining the
efficacy of adaptations of MI in the treatment of individuals with eating disorders has been promising. This paper presents 4 patient
scenarios involving individuals with varying degrees of readiness and in the context of different treatment settings. For each patient
scenario, key issues are described and common roadblocks to developing or maintaining a therapeutic alliance are provided. Vignettes
illustrate conversations between the patient and therapist for each scenario, highlighting how MI techniques can be integrated into CBT
treatment and promote a working therapeutic relationship that enhances long-term treatment outcome.

MILLIONS of individuals every year are affected byeating disorders: anorexia nervosa (AN), bulimia
nervosa (BN), and binge eating disorder (BED). Lifetime
prevalence for AN is approximately 0.5% to 1% for
females and .1% to .3% for males; lifetime prevalence for
BN is approximately 1% to 3% for females and .5% to 2%
for males; and lifetime prevalence for BED is approxi-
mately 2% to 5%, with no marked gender difference
(Dingemans, Bruna, & van Furth, 2002; Hudson, Hiripi,
Pope, & Kessler, 2007; Striegel-Moore, 2000; Woodside et al.,
2001). An even larger number of individuals suffer from
what is currently categorized as Eating Disorder Not
Otherwise Specified (EDNOS), which is best described as
a residual category for eating disorders of clinical severity
that do not meet diagnostic criteria for AN or BN
(Fairburn, 2008).

Eating disorders are characterized by serious distur-
bances in eating, such as binge eating, fasting, and
purging (i.e., engaging in compensatory weight control
behaviors), as well as subjective distress and excessive
concern about body shape and weight. These behaviors
are associated with a number of physical and psycholog-
ical consequences. Physical consequences include amen-

-7229/10/5–15$1.00/0
10 Association for Behavioral and Cognitive Therapies.
ished by Elsevier Ltd. All rights reserved.

orrhea, diabetes, hypertension, damage to teeth enamel,
osteoporosis, disturbances in kidney functioning, gastro-
intestinal bleeding, malnutrition, bowel disease, infertil-
ity, stress fractures, obesity, and cardiac arrest (Kaye,
Bulik, Thornton, Barbarich, & Masters, 2004; Keel et al.,
2003; Mitchell & Crow, 2006; Striegel-Moore, Leslie,
Petrill, Garvin, & Rosenheck, 2000). The mortality rate
for individuals with AN is the highest of any psychiatric
disorder and is more than 12 times higher than the
mortality rate among young women in the general
population (Birmingham, Su, Hlynsky, Goldner, & Gao,
2005). Increased mortality in eating disorders is frequent-
ly the result of medical complications or suicide (Birming-
ham et al, 2005; Franko & Keel, 2006). Individuals with
AN and BN have higher rates of mood, anxiety, and
personality disorders, as well as substance abuse, com-
pared to non-eating-disordered individuals (Becker,
Grinspoon, Klibanski, & Herzog, 1999; Carlat, Camargo,
& Herzog, 1997; Hudson et al., 2007; Stice, 1999;
Woodside et al., 2001). Individuals who meet criteria for
BED have been found to have higher lifetime prevalence
rates of major depressive disorder, panic disorder,
borderline personality disorder, and avoidant personality
disorder compared to non-BED individuals (Dingemans
et al., 2002; Telch & Stice, 1998). The public health
burden caused by untreated eating disorders is reflected
in high medical costs and loss of productivity due to

6 Geller & Dunn

impaired functioning. In addition, eating disorders
produce significant negative psychological and social
consequences for those who suffer from them, as well as
for their family and friends.

Although a number of studies have provided impor-
tant information about treatment for eating disorders,
further research is needed to improve efficacy, cost-
effectiveness, and dissemination of treatment for these
disorders. Treatment is often costly (because it is
delivered by highly trained specialists), can last for many
months or years, and fails to produce complete remission
in about half of the cases.

Treatment of Eating Disorders

Cognitive behavioral therapy (CBT) is generally
regarded as the treatment of choice for eating disorders.
CBT assumes that symptoms are maintained by placing a
high value on attaining an idealized weight and slender
shape, accompanied by inaccurate beliefs in three core
domains: unrealistic expectations for body weight/shape,
belief that obtaining such a weight/shape is necessary for
feelings of self-worth, and inaccurate beliefs about food
and how to influence weight. Thus, efforts to control
shape/weight lead to strict dietary control and, subse-
quently, both physical and psychological deprivation. This
deprivation, in turn, can make some individuals suscep-
tible to loss of control over eating. Thus, the goal of CBT
for eating disorders is to establish healthy eating habits by
removing the tendency to both undereat and overeat, the
former thought to encourage the latter. Maladaptive
attitudes about body shape and weight are also addressed.
If applicable, attention is given to stopping engaging in
compensatory weight control methods and relapse
prevention skills are developed to help individuals resist
the impulse to binge and/or purge.

Numerous studies have been conducted investigating
the efficacy of CBT for BN and BED and many reviews
conclude that CBT is associated with significant improve-
ments in bulimic symptomatology when compared to
wait-list control, other psychotherapies, and pharmaco-
therapy (Fairburn, Cooper, & Shafran, 2003; Fairburn &
Harrison, 2003; National Institute for Clinical Excellence,
2004; Wilson, 1999; Wilson & Fairburn, 1998). Although
manual-based CBT is currently the treatment of choice
for the bulimic disorders, there is little empirical support
for the use of CBT for AN, or for those cases that fall
within the large and heterogenous EDNOS category
(Treasure & Schmidt, 2008; Waller et al., 2008). However,
the transdiagnostic theory of eating disorders, which
focuses on the common core pathology of patients
displaying a range of disordered eating behaviors, posits
that CBT addresses the processes that maintain any type
of eating disorder (Fairburn et al., 2003; Fairburn, 2008).
Preliminary data from Fairburn and colleagues offer some

support for this approach when treating patients who
meet diagnostic criteria for AN, or those who are classified
as EDNOS (Fairburn & Grave, 2008).

Treatment Dropout and Failure to Engage

Despite CBT being the most frequently used and well-
researched treatment approach for eating disorders, it
has limitations: many patients fail to engage in treat-
ment, drop out prematurely, or simply do not improve
with this approach. A number of controlled treatment
trials using CBT for bulimic pathology have reported
excellent short-term reductions in symptom frequency,
but a 5-year follow-up study showed lasting remission
from bulimic behaviors in only half of those treated
(Fairburn et al., 1995). In a review of treatment dropout
in the eating disorders, attrition rates from research
trials ranged from 5% to 40%, with a median of 20%,
and dropout rates from clinical treatment ranged from
15% to 65%, with a median of 30% (Mahon, 2000).
High patient dropout and low remission or recovery
rates are problems in many areas of mental health
services, but are particularly prevalent among individuals
with eating disorders (Mahon, 2000); many individuals
with eating disorders are ambivalent about change
(Vitousek, Watson, & Wilson, 1998), which can often
result in a lack of engagement with therapy and premature
termination.

Recent attention has been given to reasons for patient
dropout from eating disorders treatment. The majority
of existing studies have focused on patient characteristics
that predict dropout, such as demographics, comorbid
diagnoses, and severity or duration of eating disorder.
However, no consistent findings link patient character-
istics to treatment dropout. More recently, the focus has
shifted from patient characteristics to therapy factors that
predict treatment dropout. It has been suggested by a
number of authors that therapeutic alliance and the
interaction between eating disordered patients and
therapists can have a profound effect on treatment
(Geller, Williams, & Srikameswaran, 2001; Kaplan,
Olmstead, Carter, & Woodside, 2001; Treasure &
Schmidt, 1999; Treasure et al., 1999; Wilson, Vitousek,
& Loeb, 2000). However, there has been insufficient
empirical research on this topic in the eating disorders,
and the research that has been conducted has been
limited by a number of methodological problems (e.g.,
small sample size) and has yielded inconclusive results.
Nevertheless, it is well recognized in other populations
(e.g., substance use, depression treatment) that the
therapeutic alliance and therapist factors have a pro-
found impact on treatment (Barber et al., 2001; Horvath,
2001; Martin, Garske, & Davis, 2000), suggesting that
these issues may also be important in the treatment of
eating disorders.

7MI and CBT for Eating Disorders

Specifically, it has been suggested that understanding
the match between therapist behavior and patient
readiness to change may help explain why psychological
treatment for eating disorders is effective for only half of
those who initiate it. It is hypothesized that if the
intervention and readiness to change do not match,
damage will be done to the therapeutic alliance, resulting
in treatment failure (Miller & Rollnick, 2002; Prochaska,
DiClemente, & Norcross, 1992). Although much of the
initial research on readiness to change used smoking as
the problem behavior, it has been applied to a variety of
health behaviors, including alcohol and drug use,
gambling, exercise, sunscreen use, condom use, weight
loss and obesity, and, more recently, eating disorders.

Research in the eating disorders suggests that assessing
readiness to change before determining a treatment plan
allows clinicians to better match patients to treatment
modalities in the most cost-effective and time-efficient way
possible (Franko, 1997). Moreover, readiness to change
has been shown to predict weight gain, completion of
activities related to recovery, dropout, relapse, and the
decision to enroll in intensive eating disorder treatment
(Bewell & Carter, 2008; Geller, 2002a; Geller, Cockell, &
Drab, 2001; Geller et al., 2001, 2004; Reiger et al., 2000).

Application of MI to Eating Disorders

Patient dropout and noncompliance with treatment
recommendations are significant problems limiting the
effectiveness of many types of mental health treatments.
Because failure to comply with and complete treatment
can result in a number of negative consequences—most
importantly, poor treatment outcome—efforts to increase
compliance are under way in many areas of health
behavior change. Specifically, a search to understand the
critical conditions that are necessary and sufficient to
bring about behavior change has begun. In other
populations, research has shown that the match between
patient and therapist expectations about treatment
influences clients’ motivation to change. For instance, a
collaborative relationship between therapist and client
that encompasses a shared understanding of the goals
and tasks of therapy has been shown to consistently
predict better client outcomes (as cited in Moyers, Miller,
& Hendrikson, 2006). Conversely, a confrontational
therapeutic style has been associated with higher rates
of relapse than treatments using a patient-centered
therapeutic style (Miller, Benefield, & Tonigan, 1993).

Similar findings have emerged in the eating disorders:
collaborative treatment approaches were rated by both
clients and therapists as more likely than directive
treatment approaches to retain patients in treatment
and to promote adherence with treatment recommenda-
tions (Geller, Brown, Zaitsoff, Goodrich, & Hastings,
2003). Interestingly, in the aforementioned study, despite

participants’ clear preference for collaborative interven-
tions, directive interventions were rated as equally likely to
occur in practice.

Motivational interviewing (Miller & Rollnick, 2002) was
developed to address these treatment challenges and to
enhance readiness and motivation for recovery in
populations described as ambivalent about change. One
of the goals of MI is to help individuals increase their level
of readiness to change by combining elements of style
(e.g., warmth and empathy) and technique (e.g., key
questions and reflective listening). Clinician stance is
considered to be critical to MI, such that the therapist uses
a curious, nonjudgmental approach and shows genuine
interest in the patient’s experience of the problem. This is
consistent with other approaches advocating the impor-
tance of a curious, Socratic questioning style (e.g.,
Vitousek et al., 1998; Wilson & Schlam, 2004). Preliminary
work on the efficacy of adaptations of MI to individuals
with eating disorders has been promising (Cassin, von
Ranson, Heng, Brar, & Wojtowicz, 2008; Dunn, Neighbors,
& Larimer, 2006; Feld, Woodside, Kaplan, Olmstead, &
Carter, 2001; Geller, Brown, Srikameswaran, & Dunn,
2006; Treasure et al, 1999).

Clinical Illustrations

One of the strengths of MI is its consideration of patient
readiness in developing shared treatment goals. That is,
rather than basing treatment decisions primarily or
exclusively on symptom severity, motivational approaches
advocate the need to assess for, and match treatment to,
patient readiness. For this reason, in considering applica-
tions of MI to the treatment of eating disorders, four
patient scenarios involving individuals with varying degrees
of readiness, and in the context of different treatment
settings, will be addressed. These scenarios, which com-
monly occur in clinical practice, include:

• Newly assessed patients
• Patients enrolled in intensive, symptom-reduction

treatment programs
• Individuals with enduring eating disorders
• Individual outpatients with a fluctuating treatment

response

For each patient scenario, key issues will be described
and common roadblocks to the therapeutic alliance will be
provided. Clinical vignettes will be used to illustrate
conversations between patient and therapist for each
scenario, highlighting how MI can promote a working
therapeutic relationship and enhance long-term outcome.

Newly Assessed Patients

During an initial intake assessment, forming an alliance
and establishing a working therapeutic relationship is of

8 Geller & Dunn

central importance in obtaining accurate information and
increasing the likelihood that the patient will return for
future treatment. Interestingly, research has shown that
clinicians who conduct intake assessments and who are
responsible for making treatment recommendations
commonly overestimate patient readiness status (Geller,
2002b). Despite presenting for an initial assessment,
patients are not always ready to change their eating
behaviors. They typically come to their first sessions with a
number of concerns and assumptions; in some cases, they
may attend the session because they are forced or coerced
into doing so by a family member or partner. Some
patients may fear that they will be expected to make
changes for which they are not yet ready, some will be
interested in feeling better but not in giving up their eating
disorder behaviors, and others may wish to give up some,
but not all, of their eating disorder behaviors. Therapist
inaccuracy in assessing patient readiness may be due to the
challenge of providing a neutral environment that conveys
no expectations for change. MI offers a useful stance and
questioning approach, which helps dispel patient fears
about therapist expectations and increases trust in the
therapist as an ally, worthy of engaging with in an honest
relationship.

Common roadblocks/barriers:

• Making an assumption that the patient is ready for
change

• Failing to validate the difficulties of change
• Prompting the patient to talk about reasons for, but

not against, change
• Having an overly rigid agenda, which conveys a

power differential and can interfere with developing
a shared understanding of the problem

Example

The following encounter occurred in the context of
an initial psychosocial assessment with an adolescent at
a voluntary eating disorder treatment program. Prior
to making treatment recommendations, the assessor
met with Lisa to review her history of eating and
comorbid psychiatric problems.

THERAPIST (summarizing what Lisa has said thus far):
Thanks for explaining how your eating disorder devel-
oped and for describing what you are currently struggling
with, particularly how volatile things have been at home. It
sounds like it has been really tense, especially at meal
times. Is there anything else you think would be important
for me to know at this time to better understand your
situation and what might help you?

PATIENT: Just that everyone, especially my mom, is
making a way bigger deal out of this than they need

to. I don’t see what the problem is. I get my work
done and I feel fine. Why can’t everyone just leave me
alone?

THERAPIST: Yeah… it seems like one of the biggest
struggles has been dealing with others who see a problem
and who are pressuring you to change something that
actually feels okay for you right now.

PATIENT: Yes! I feel better than I have in a long time. I
never used to like my body and I had no self-confidence.
Now I like how I look; I wear cuter clothes.

THERAPIST: So there have been some real benefits to
cutting back on your eating with regard to your self-
esteem and body image. Are there any other advantages
to the changes you have made to your eating?

PATIENT: Well, I feel healthier and I’m getting
compliments from people who never used to notice me.

THERAPIST: So feeling better and getting positive
attention has also been rewarding. It must be really
frustrating for you when others, like your mom, give you a
hard time when this is working for you in so many ways.

PATIENT: Yeah, that pretty much sums it up. I wish
everyone who is hounding me about this could under-
stand that.

After further discussion, including a detailed assess-
ment of Lisa’s medical and psychiatric risk, which are
currently low, she and the therapist agreed upon a set of
treatment recommendations. These included attending
an outpatient group that provides information about
available treatment options, explores ambivalence about
change, and helps patients learn about the function that
eating disorders serve. It was also recommended that she
attend the program’s outpatient medical clinic, to
monitor her physical symptoms.

It is likely that with a patient like Lisa, attempting to
convince her of change at this stage would be unproduc-
tive and would make the therapist seem similar to others
who have been unhelpful. A common trap is to get pulled
into a confrontation where, as the therapist argues for
change, the patient becomes more dogmatic about
reasons for not changing. It is important to note that
taking a curious stance does not preclude the therapist
from informing the patient about health risks of her
current behavior(s) or the benefits of normalized eating.
Rather, investing time at this early stage to ensure that the
patient feels that her perspective is heard, understood,
and considered in making treatment recommendations
increases the likelihood that she will engage in any

9MI and CBT for Eating Disorders

treatment that is offered and maintain a positive regard
for the treatment team.

Patients Enrolled in Intensive, Symptom-Reduction
Treatment Programs

Different issues emerge for patients who have made
the decision to enroll in action-oriented, symptom-
reduction treatment programs. Residential treatments
typically require patients to adhere to a set of treatment
nonnegotiables, or mandatory treatment components, to
reduce eating disorder behaviors. In group programs the
therapeutic milieu is an important factor in promoting
change, as recovery among group members is enhanced
by patients entering into treatment voluntarily, prepared
to engage in change behavior. In such situations, patients
encourage and challenge one another to work on
recovery, reducing the need for the therapist to act as a
cheerleader for change. Given that research has shown
that long-term outcomes are more favorable when
patients make the decision to enroll in treatment for
themselves, as opposed to for others (Geller et al., 2004), a
motivational approach can be useful in preparing such
individuals for treatment, helping them to determine
when they are ready to enroll and ensuring that treatment
nonnegotiables are developed and enforced in a collab-
orative, consistent manner.

Common roadblocks/barriers:

• Admitting patients into action-oriented treatment
who are not invested in change

• Admitting patients who state that their primary
reason for enrolling in treatment is for others

• Failure to acknowledge and explore ambivalence as
it arises

• Nonnegotiables that have a poor rationale or are
inconsistently applied

Example

The following encounter occurred in the context of a
voluntary admission to a residential treatment program.
Prior to entry, Greta participated in an outpatient
preparatory program designed to assist patients in
determining whether they are interested and willing to
participate in the program, which has a number of
mandatory treatment components (e.g., abstinence from
bingeing and purging in the residence, minimum amount
of weight gain in a specified time period). As part of the
admission process Greta met with her therapist to review
the program nonnegotiables and discuss those aspects of
treatment that are individualized to each patient (e.g.,
activity protocol). The example below took place 1 week
prior to a program “critical week” in which Greta is
required to have gained a minimum amount of weight in
order to remain in program.

THERAPIST: How did things go with your weigh-in
today?

PATIENT: Umm… not that well. I didn’t make my gains.

THERAPIST: Hmm… so that makes next week your
“critical week.” What will that mean for you?

PATIENT: Well, it means I need to gain what I was
supposed to gain this week plus what I need to gain next
week, or else I’ll be asked to step-out from program.

THERAPIST: So this is an important time for you. How
are you feeling about all this?

PATIENT: Well, I know I have been skimping a little on
weekends… and maybe exercising a little more than what
my protocol says… but I didn’t think I was doing that badly.
I was actually surprised that with all the eating I’ve been
doing, I hardly gained anything!

THERAPIST: Yeah… it sounds like you’ve been
working pretty hard; you’re also aware of some things
that you could have done differently to increase the
likelihood that you gained the necessary weight this week.
What are your thoughts about next week?

PATIENT: I just don’t know if I can gain that much
weight! I mean… that’s a lot for me! I’m already struggling
with feeling fat…

THERAPIST: This really is hard work. What would it be
like for you if you don’t gain the weight next week?

PATIENT (softly): Well, if I don’t, I will have to take the
step-out and then maybe go home…

THERAPIST: (mirroring the patient’s softer tone of voice):
Mmm… and how would that be for you?

PATIENT: Well, I don’t really want that. I mean, I have
been struggling with the physical changes, but there have
been some good things about being here too — having a
break from my rituals and also getting some time away
from my mom have been helpful.

THERAPIST: So this really is a tough situation for you:
on the one hand, it would be a huge battle to make this
weight gain, but on the other hand leaving program
would also be difficult. What are your thoughts on where
to go next?

After considering her options, Greta decided to work
hard to make the necessary gains to stay in treatment. She

10 Geller & Dunn

asked her therapist to help her come up with strategies
that would assist her in doing so (e.g., staying at the
residence for meals on weekends instead of going home
and sticking to her exercise protocol by exercising only
when with a “buddy”).

This encounter illustrates the benefit of preparatory
work prior to entry into treatment. Because Greta was
informed about and agreed to adhere to the program
non-negotiables prior to coming into the program, she
was fully aware of her options, and the therapist’s role
was simply to assist her in choosing the best option for
her at this time. The development of sound treatment
nonnegotiables allows the therapist to avoid getting
caught in a convincing role and instead (s)he can focus
on helping the patient navigate the non-negotiables,
while acknowledging that there may not be any easy or
perfect choices available. Similar to the previous
example, this is another situation where attempting to
“cheerlead” or convince Greta to make changes may
backfire and result in her actually becoming less
committed to treatment.

Individuals With Enduring Eating Disorders

A particularly challenging group of patients are those
with longstanding eating disorders who have made several
unsuccessful treatment attempts in the past or who state
that recovery is not a goal for them. Unfortunately, such
patients often report a history of negative experiences
with care providers and can be especially difficult to
engage. These patients often present with the additional
challenge of becoming medically unstable and are often
unwilling to be admitted to hospital to ensure their
medical safety. In dealing with such patients, it is
common for conflicts to arise. MI can be extremely
useful in these cases by providing a stance and set of
principles that involves reviewing what hasn’t worked in
the past, fostering establishment of new, shared goals,
and maintaining a therapeutic alliance while working
with treatment nonnegotiables, or mandatory treatment
components.

Common roadblocks/barriers:

• Repeating interventions/approaches that have
failed in the past

• Overusing directive or threatening interventions
• Failing to maximize patient autonomy
• Failing to identify and work with patient higher

values
• Treatment team not working together

Example

Leanne has been battling severe AN for the past 20
years. She has been repeatedly admitted to specialized
intensive treatment programs. Each time, although she was

able to gain weight while in program, she immediately
relapsed upon discharge. Currently, Leanne is losing
weight and once again her physician is threatening
certification (an involuntary treatment admission). The
conversation below took place after Leanne heard this
news.

THERAPIST: I understand that Dr. Chan is really
worried about your health.

PATIENT: Yeah, I lost more weight last week and I’ve
been feeling a bit light-headed lately. But it’s really not that
bad…

THERAPIST: So, you have some physical challenges
right now, but aren’t too concerned.

PATIENT: No… but I know my doctor is, because she
told me that if I don’t show up for outpatient meal support
twice a week she will make me come into hospital.

THERAPIST: I see… so she must be thinking this is a bit
more serious. This seems like a good time to check in
about what you want. How do you feel about being
admitted to hospital involuntarily?

PATIENT: (exasperated): I’ve done that so many times
before and it never helps in the long run. I hate having no
control over when or how the admission happens and
being stuck in the hospital with no freedom… I also hate
being policed all the time!

THERAPIST: Yeah… the loss of freedom can be really
hard. Is there anything else that would be difficult about
an involuntary admission?

PATIENT: Well, I’d have to give up everything that I
care about; I wouldn’t be able to do my volunteer work or
finish the course that I’m taking.

THERAPIST: That does sound tough. I know you’ve
really been enjoying your time volunteering at the
daycare and that giving back to the community is really
important to you. You’ve also said that you have wanted to
finish your degree for some time now.

PATIENT: Yeah, if I dropped those things now I would
be letting everyone down, with basically no warning. That
is not who I want to be… and would make me feel like a
failure.

THERAPIST: So getting certified would be really
devastating for many reasons. How have those types of
admissions gone for you in the past?

11MI and CBT for Eating Disorders

PATIENT: Well, I think it’s kind of useless, since no
matter how many gains I make while in hospital, it’s not
because of anything I am doing, you have to! So I don’t
have any confidence that I can maintain the changes after
I leave.

THERAPIST: And what, if any, changes would you
ideally like to maintain after you leave?

PATIENT: Honestly, I’d just like to avoid being
certified again so that I can carry on with my life. It is so
disruptive not being able to plan more than a few days
ahead… but I do know that I need more energy so I can
play with the kids when I’m volunteering.

THERAPIST: It sounds like what would be most
helpful for you right now is to avoid being certified. Is
that something you’d like to work on?

PATIENT: I guess. It’s something I’ve never been able
to do before.

In this encounter, the therapist was invested in helping
Leanne avoid having another unhelpful treatment experi-
ence, rather than on weight gain or other symptom change.
Although at first glance it may be difficult to see the value of
taking this kind of stance with a patient who is clearly on the
verge of medical instability, this sort of initiative can have a
profound effect on the therapeutic alliance, as well as
increase the patient’s feelings of autonomy and self-
efficacy. These, in turn, have beneficial effects for short-
and long-term treatment outcome, as the patient is more
likely to engage in treatment and maintain changes over
longer periods of time. In this example, the therapist was
also interested in the patient’s higher values, such as
participating in volunteer work or completing her degree.
This type of inquiry helps ensure that both patient and
therapist stay connected to the patient’s overarching goals
and also increases trust in the therapeutic relationship.

Following this encounter, Leanne was more open with
the treatment team and, over the weeks that followed, in
collaboration with the rest of her care providers, Leanne
and her therapist worked out a plan for her to avoid
certification. This required her regular attendance at
outpatient meal support twice per week and a decrease in
her activity level. When a spot in the inpatient program
became available, Leanne was given the option to accept a
voluntary medical admission. The goals of the admission
were carefully agreed upon with her prior to coming in,
with a primary objective of identifying her barriers to
maintaining changes after discharge. Upon discharge,
Leanne reflected that this had been by far her most
helpful hospital experience and was eager to continue
working on improving her health.

Individual Outpatients With a Fluctuating
Treatment Response

Incorporating MI into cognitive behavioral work with
outpatients is useful, as there is typically a natural waxing
and waning of readiness over time. Even in strong working
relationships it is possible for therapists to become
frustrated with patient lapses in readiness. It is also common
for patients to become frustrated with therapists who
persevere with skill building when the patient has slipped
back a little and is wishing to address barriers to recovery.

Common roadblocks/barriers:

• Failing to recognize and/or address ambivalence
when it arises

• Assuming that the patient is equally ready to change
each behavior

• Focusing on skills when the patient has pressing
emotional issues that need to be addressed

• Assuming that low motivation to change is exclu-
sively due to lack of skill or competence

Example

The patient in the following example has BN and has
been working well in therapy over the past 12 weeks.
Using a CBT framework, she and her therapist have used
food monitoring records to identify her triggers for binge
eating and to increase her understanding of the factors
that maintain her eating disorder. Over the first 10 weeks,
Jane tracked her eating, purging, and exercise behaviors.
Upon learning that in addition to emotional triggers, Jane
also binged in response to chronic malnutrition, she
increased her meal plan to include three healthy meals
and two snacks each day. Whereas she was able to do this
for several weeks, in the encounter described below, Jane
has hit a roadblock. She states that she is feeling
discouraged with her progress and questions whether
she wants to continue with the work she has been doing.

THERAPIST: So, how did things go last week?

PATIENT: Well… I stuck to my meal plan and didn’t
purge for the third week in a row… but I don’t know,
maybe I’m burned out. I’m not feeling very good…

THERAPIST: Getting through another week without
purging is a real accomplishment. It also sounds like things
have been difficult. I’m curious about what else is going on?
It sounds like there have been some struggles.

PATIENT: Well… my clothes just aren’t fitting the way
they used to. And I’m not imagining it. When I got
weighed last week I had gained another pound. To be
honest I can’t help but wonder if this is all worth it.

12 Geller & Dunn

THERAPIST: Ah… you sound discouraged. Weight
gain is really hard. Can you say more about that?

PATIENT: Well… before I made these changes to my
eating I at least liked my body… I mean, I thought about it
all the time and that was a drag… but now I can barely
stand looking at myself in the mirror!

THERAPIST: So one thing you are struggling with is
that there have been some changes to your body since
eating more healthfully. I do remember you talking about
how your physical appearance has been a source of
concern for you, so that does sound difficult. It would be
good for us to talk about that more. Before we do, though,
I want to make sure that I get a good understanding of
everything you’re going through. Are there any other
things that are making you wonder whether this work that
you are doing is worth it?

PATIENT: Yes… I mean, I know it might not have been
the healthiest way of coping, but before, when I binged, it
was a total escape from the world and my problems. I
always had a way to take a little vacation from everything,
Now I get stressed out about something and I have to just
sit with all these feelings… I don’t like that! It was a lot
easier before!

THERAPIST: Ah… so another huge adjustment you are
going through, and a really difficult one, is that as a result
of no longer bingeing you are experiencing strong
feelings with no immediate escape. Can you say more
about what sorts of things are bringing up these feelings?

PATIENT: Well, last week I had a few days that I worked
overtime and still didn’t feel like I had accomplished
everything I set out to do. Also, I’m still having trouble with
my boss. By the time I got home I was so tired and fed up, I
just wanted to tune the world out… but couldn’t.

THERAPIST: Ah… that would have been a time when
in the past you would have binged. We learned that from
your monitoring records.

PATIENT: Yeah…

THERAPIST: So this has been a really tough week: you
are struggling with some possible physical changes and
you are really missing the escape that bingeing and
purging used to provide, especially when things are
stressful for you at work. That’s quite a lot to deal with and
I’d like to help you understand those things better and
figure out what is the best path for you. Before we do,
though, is there anything else that you’re aware of that is
causing you to question continuing with treatment?

PATIENT: Ummm… No, I think those are the two main
things. Well… there was one other time I was supposed to
go out for dinner with a friend and she cancelled. I was
feeling lonely and I wanted to binge as a way to keep
myself company and pass the time…

THERAPIST: Ah… so you have also used bingeing as a
way of helping pass the time when you are feeling low…

PATIENT: (nods)

THERAPIST: This really has been a difficult week.
Was there anything else that you are aware of that
happened to make you feel unsure about this work you
are doing?

PATIENT: No. I think that’s it.

THERAPIST: Well, that is certainly a lot! One option
would be for us to talk about ways to help you deal with
some of these body image concerns that you are having,
and with missing the relief that bingeing and purging has
provided… but it sounds like there is a bigger issue or
concern for you, which is whether this recovery process
you are going through is worth it to you.

PATIENT: Yeah, well, up until now I thought it was
really hard but that I was doing well! I expected that by
now, after all this time, it would get easier…

THERAPIST: So part of this is being surprised and
frustrated that it’s been such a tough journey…

PATIENT: Yes.

THERAPIST: Unfortunately, it is experienced that way
by many people who go on to recover. You’re certainly not
alone in having struggles at this stage. In fact, this is a
turning point for many people who have to decide
whether they want to persevere when they begin
encountering setbacks, even after accomplishing so
much. What are your thoughts about how you would like
to proceed?

PATIENT: Like I said — I just don’t know if I want to
keep doing this. I want my old body back!

THERAPIST: Okay, to help you make the most
informed decision, how about we explore what stopping
at this point would be like for you. I’m curious what you
anticipate would happen…

PATIENT: Well, for one thing, I would lose weight and
not feel so full all the time.

13MI and CBT for Eating Disorders

THERAPIST: And how would that be?

PATIENT: It would be great! I wouldn’t feel so bad
about my body.

THERAPIST: Is that how you remember things being
before? That you felt good about your body?

PATIENT: Well… I guess I did still think about it a lot…
and I was always trying to lose weight…

THERAPIST: Ah… so your feelings about your body
may or may not improve if you stopped treatment. What
else do you remember about your life when your bingeing
and purging was more active?

PATIENT: Well… I did feel a little bit like my life was
out of control and like I was consumed with thoughts of
food all the time. That made me feel like there was
something wrong with me…

THERAPIST: Hmm… those sound like hard things to
cope with also…

PATIENT: They were…

THERAPIST: So this is a tough spot for you. On the
one hand, things are really hard for you right now —
you’ve made these fantastic changes but it’s a lot of work
and there are some consequences to it, like changes to
your body.… On the other hand, going back to the way
things were before is also pretty tough — you had to live
with feeling out of control, consumed with thoughts of
food, and even though your body may have been a little
different, you still felt dissatisfied.

PATIENT: Yeah… that’s true. It seems like there are no
easy paths…

THERAPIST: I’m afraid not. Given the difficulty of
both paths, which do you think fits best, or feels most
right, for you now?

After further discussion, Jane decided that despite the
challenges she was encountering she wanted to continue
with therapy. After reviewing her situation further, she and
her therapist decided to address some of the difficulties
she was having with body image by decreasing the
challenging foods she was incorporating into her meal
plan and starting to work through exercises geared toward
improving body image. They also focused on expanding
Jane’s repertoire of coping strategies, such as continuing
to reach out to friends when she is lonely and experiment-
ing with other ways to appropriately unwind or distract
herself from some of the stresses in her life.

Had the therapist taken a different approach and
instead attempted to convince Jane to remain in
treatment without fully exploring Jane’s difficulties and
concerns, it is possible that Jane might have reacted by
passively agreeing to assignments but not following
through with them or by trying to persuade the therapist
to see how difficult and unfulfilling change really is.
Instead, Jane said she felt understood, a renewed sense of
trust in her therapist, and less alone in her journey after
this conversation.

Conclusions and Future Directions

A primary strength of CBT is its action-oriented nature;
it seeks to identify and address the functions of eating
disorder behaviors and to replace them with healthier,
more adaptive functioning. The difficulty that arises is
when patients are not yet ready to relinquish their eating
disorder and are thus not fully engaged in this process. MI
has much to contribute to CBT in these cases, as it
explicitly focuses on enhancing patient readiness and
maximizing treatment efficacy by ensuring that skill
building occurs when the patient is most receptive.
Using an MI stance ensures that treatment providers and
patients are working together on shared goals, thus
maintaining an alliance throughout the bumps of therapy.
Although a skillful CBT therapist (or indeed practitioner
of any treatment modality) may intuitively manage their
pacing and interventions to patient readiness using similar
strategies, MI makes these goals explicit and provides a
language and set of techniques to assist in the process.

To date, the majority of research on MI in the
treatment of eating disorders has focused on its use as a
pretreatment to CBT or to other intensive treatment
(Cassin et al., 2008; Dunn et al., 2006; Geller et al., 2006;
Treasure et al., 1999). For instance, recent study results
(Dunn et al., 2006; Cassin et al., 2008) suggest that the use
of a brief MI add-on to self-help intervention for binge
eating may be a potentially cost-effective treatment. That
is, MI enhancement was shown to only slightly increase
the total time of face-to-face care, but resulted in
improved outcome that was comparable to that found
after 4 hours of motivation enhancement therapy
(Treasure et al., 1999) and 4 months of CBT (Wilfley et
al., 1993). Although many of the interviewers in these
studies were undergraduate or graduate research assis-
tants who received only a few months of training in the
theory and techniques of MI, they were nevertheless
comparable to master-level therapists in participant
satisfaction and adherence ratings.

MI has also been shown to have utility with individuals
who have severe eating disorders. In a tertiary-care clinical
setting, a brief 5-session MI-informed treatment offered
following a standard intake assessment significantly
reduced the number of highly ambivalent individuals

14 Geller & Dunn

posttreatment and at 3-month follow-up (Geller et al.,
2006). As previous research demonstrated that these
highly ambivalent individuals were more likely to drop out
or relapse following intensive therapy (Geller et al., 2004),
this research suggests that incorporating MI strategies
into the menu of treatment options may significantly
improve long-term outcome in these clinical settings,
where intensive treatment is expensive (Geller et al.,
2006).

Despite promising preliminary results, more research
is needed to investigate the efficacy of motivational
enhancement techniques as stand-alone or adjunct
interventions in the treatment of eating disorders. In
addition, given that motivational issues are recognized as
pertinent throughout treatment in this population (e.g.,
Fairburn, 2008), understanding the mechanisms by which
motivation develops and is maintained would also be
useful. Very little is currently known about the eating
disorder populations for whom MI works best. Future
studies should attempt to answer this question by
examining differential responding by individuals with
different baseline readiness, eating disorder diagnoses
and/or severity, as well as for eating disordered men.
Finally, given that family members are often experienced
by patients as overly directive in regards to behavior
change, teaching MI techniques to family and friends of
individuals with eating disorders may also be of great
benefit (Treasure et al., 2007).

References

Barber, J. P., Luborsky, L., Gallop, R., Curtis, C. P., Frank, A., Weiss, R. D.,
Thase, M. E., Connolly, M. B., Gladis, M., Foltz, C., & Siqueland, L.
(2001). Therapeutic alliance as a predictor of outcome and
retention in the National Institute on Drug Abuse Collaborative
Cocaine Treatment Study. Journal of Consulting and Clinical
Psychology, 69, 119–124.

Becker, A. E., Grinspoon, S. K., Klibanski, A., & Herzog, D. B. (1999).
Current concepts: Eating disorders. The New England Journal of
Medicine, 340, 1092–1098.

Bewell, C. V., & Carter, J. C. (2008). Readiness to change mediates the
impact of eating disorder symptomatology on treatment outcome
in anorexia nervosa. International Journal of Eating Disorders, 41,
368–371.

Birmingham, C., Su, J., Hlynsky, J., Goldner, E., & Gao, M. (2005). The
mortality rate from anorexia nervosa. International Journal of Eating
Disorders, 38, 143–146.

Carlat, D. J., Camargo, C. A., & Herzog, D. B. (1997). Eating disorders
in males: A report on 135 patients. American Journal of Psychiatry,
154, 1127–1132.

Cassin, S. E., von Ranson, K. M., Heng, K., Brar, J., & Wojtowicz, A. E.
(2008). Adapted motivational interviewing for women with binge
eating disorder: A randomized controlled trial. Psychology of
Addictive Behaviors, 22, 417–425.

Dingemans, A. E., Bruna, M. J., & van Furth, E. F. (2002). Binge eating
disorder: A review. International Journal of Obesity, 26, 299–307.

Dunn, E. C., Neighbors, C., & Larimer, M. E. (2006). Motivational
enhancement therapy and self-help treatment for binge eaters.
Psychology of Addictive Behaviors, 20, 44–52.

Fairburn, C. G. (2008). Cognitive behavior therapy and eating disorders.
New York: Guilford Press.

Fairburn, C. G., Cooper, Z., & Shafram, R. (2003). Cognitive behavior
therapy for eating disorders: A “transdiagnostic” theory and
treatment. Behavior Research and Therapy, 41, 509–528.

Fairburn, C. G., & Grave, R. D. (2008, September). “Enhanced” CBT
(CBT-E) for anorexia nervosa: Findings from Oxford, Leicester, and
Verona. Paper presented at the presented at the annual meeting of
the Eating Disorders Research Society, Montreal, Quebec,
Canada.

Fairburn, C. G., & Harrison, P. J. (2003). Eating disorders. Lancet, 361,
407–416.

Fairburn, C. G., Norman, P. A., Welch, S. L., O’Connor, M. E., Doll, H. A.,
& Peveler, R. C (1995). A prospective study of outcome in bulimia
nervosa and the long-term effects of three psychological treatments.
Archives of General Psychiatry, 52, 304–312.

Feld, R., Woodside, D. B., Kaplan, A. S., Olmstead, M. P., & Carter, J. C.
(2001). Pretreatment motivational enhancement therapy for
eating disorders: A pilot study. International Journal of Eating
Disorders, 29, 393–400.

Franko, D. L. (1997). Ready or not? Stages of change as predictors of
brief group therapy outcome in bulimia nervosa. Group, 21, 39–45.

Franko, D. L., & Keel, P. K. (2006). Suicidality in eating disorders:
Occurrence, correlates, and clinical implications. Clinical Psychology
Review, 26, 769–782.

Geller, J. (2002). What a motivational approach is and what a
motivational approach isn’t: Reflections and responses. European
Eating Disorders Review, 10, 155–160.

Geller, J. (2002). Estimating readiness for change in anorexia nervosa:
Comparing clients, clinicians, and research assessors. International
Journal of Eating Disorders, 31, 251–260.

Geller, J., Brown, K. E., Srikameswaran, S., & Dunn, E. C. (2006). The
efficacy of a brief motivational intervention for individuals with eating
disorders: Final results from a randomized control trial. Paper presented
at the annual meeting of the Eating Disorders Research Society,
Port Douglas, Queensland, Australia.

Geller, J., Brown, K. E., Zaitsoff, S. L., Goodrich, S., & Hastings, F.
(2003). Collaborative versus directive interventions in the
treatment of eating disorders: Implications for care providers.
Professional Psychology: Research and Practice, 34, 406–413.

Geller, J., Cockell, S. J., & Drab, D. L. (2001). Assessing readiness for
change in the eating disorders: The psychometric properties of
the Readiness and Motivation Interview. Psychological Assessment,
13, 189–198.

Geller, J., Drab-Hudson, D., Whisenhunt, B., & Srikameswaran, S.
(2004). Readiness to change dietary restriction predicts outcomes
in the eating disorders. Eating Disorders: The Journal of Treatment and
Prevention, 12, 209–224.

Geller, J., Williams, K. D., & Srikameswaran, S. (2001). Clinician stance
in the treatment of chronic eating disorders. European Eating
Disorders Review, 9, 365–373.

Horvath, A. O. (2001). The therapeutic alliance: Concepts, research
and training. Australian Psychologist, 36, 170–176.

Hudson, J. I., Hiripi, E., Pope, H. G., & Kessler, R. C. (2007). The
prevalence and correlates of eating disorders in the National
Comorbidity Survey Replication. Biological Psychiatry, 61, 348–358.

Kaplan, A. S., Olmstead, M. P., Carter, J. C., & Woodside, B. (2001).
Matching patient variables to treatment intensity. The Psychiatric
Clinics of North America, 24, 281–292.

Kaye, W. H., Bulik, C., Thornton, L., Barbarich, N., & Masters, K.
(2004). Comorbidity of anxiety disorders with anorexia and
bulimia nervosa. Archives of General Psychiatry, 161, 2215–2221.

Keel, P. K., Droer, D. J., Eddy, K. T., Franko, D., Charatan, D. L., &
Herzog, D. B. (2003). Predictors of mortality in eating disorders.
Archives of General Psychiatry, 60, 179–183.

Mahon, J. (2000). Dropping out from psychological treatment for
eating disorders: What are the issues? European Eating Disorders
Review, 8, 198–216.

Martin, D. J., Garske, J. P., & Davis, M. K. (2000). Relation of the
therapeutic alliance with outcome and other variables: A meta-
analytic review. Journal of Consulting and Clinical Psychology, 68,
438–450.

Miller, W. R., Benefield, R. G., & Tonigan, J. S. (1993). Enhancing
motivation for change in problem drinking: A controlled

15MI and CBT for Eating Disorders

comparison of two therapist styles. Journal of Consulting and Clinical
Psychology, 61, 455–461.

Miller, W. R., & Rollnick, S. (2002). Motivational interviewing: Preparing
people for change, 2nd ed. New York: Guilford Press.

Mitchell, J. E., & Crow, S. (2006). Medical complications of anorexia
nervosa and bulimia nervosa. Current Opinions in Psychiatry, 19,
438–443.

Moyers, T. B., Miller, W. R., & Hendrikson, S. M. L. (2006). How
does motivational interviewing work? Therapist interpersonal
skill predicts client involvement within motivational interview-
ing sessions. Journal of Consulting and Clinical Psychology, 73,
590–598.

National Institute for Clinical Excellence (2004). Eating disorders: Core
interventions in the treatment and management of anorexia nervosa,
bulimia nervosa, and related eating disorders. London: National
Institute for Clinical Excellence.

Prochaska, J. O., DiClemente, C. C., & Norcross, J. C. (1992). In search
of how people change. Applications to addictive behaviors.
American Psychologist, 47, 1102–1114.

Reiger, E., Touyz, S., Schotte, D., Beumont, P., Russell, J., Clarke, S.,
Kohn, M., & Griffiths, R. (2000). Development of an instrument to
assess readiness to recover in anorexia nervosa. International
Journal of Eating Disorders, 28, 387–396.

Stice, E. (1999). Clinical implications of psychosocial research on
bulimia nervosa and binge eating disorder. Journal of Clinical
Psychology, 55, 675–683.

Striegel-Moore, R. H. (2000). The epidemiology of binge eating.
European Eating Disorders Review, 8, 344–346.

Striegel-Moore, R. H., Leslie, D., Petrill, S. A., Garvin, V., & Rosenheck,
R. A. (2000). One year use and cost of inpatient and outpatient
services among female and male patients with an eating disorder:
Evidence from a national database of health insurance claims.
International Journal of Eating Disorders, 27, 381–389.

Telch, C. F., & Stice, E. (1998). Psychiatric comorbidity in women with
binge eating disorder: Prevalence rates from a non-treatment
seeking sample. Journal of Consulting and Clinical Psychology, 66,
768–776.

Treasure, J., Katzman, M., Schmidt, U., Troop, N., Todd, G., & deSilva, P.
(1999). Engagement and outcome in the treatment of bulimia
nervosa: First phase of a sequential design comparing motivation
enhancement therapy and cognitive behavioral therapy. Behavior
Research and Therapy, 37, 405–418.

Treasure, J., & Schmidt, U. (1999). Beyond effectiveness and efficiency
lies quality in services for eating disorders. European Eating
Disorders Review, 7, 162–178.

Treasure, J., & Schmidt, U. (2008). Motivational Interviewing in the
management of eating disorders. In H. Arkowitz, H. A. Westra, W. R.
Miller, & S. Rollnick (Eds.), Motivational interviewing in the

treatment of psychological problems (pp. 194–224). New York:
Guilford Press.

Treasure, J., Sepulveda, A. R., Todd, G., Whitaker, W., & Sacks, P.
(2007). Motivation to change and communication skills: Transferring
skills to carers of people with eating disorders. Paper presented at the
8th London International Eating Disorders Conference, London,
England.

Vitousek, K., Watson, S., & Wilson, G. T. (1998). Enhancing motivation
for change in treatment-resistant eating disorders. Clinical
Psychology Review, 18, 391–420.

Waller, G., Cordery, H., Corstorphine, E., Hinrichsen, H., Lawson, R.,
Mountford, V., & Russell, K. (2008). Cognitive behavioral therapy for
eating disorders. Cambridge: Cambridge University Press.

Wilfley, D. E., Agras, W. S., Telch, C. F., Rossiter, E. M., Schneider, J. A.,
Cole, A. G., Sifford, K., & Raeburn, S. D. (1993). Group
cognitive behavioral therapy and group interpersonal psycho-
therapy for the nonpurging bulimic individual: A controlled
comparison. Journal of Consulting and Clinical Psychology, 61,
296–305.

Wilson, G. T. (1999). Cognitive behavior therapy for eating disorders:
Progress and problems. Behavior Research and Therapy, 37,
S79–S95.

Wilson, G. T., & Fairburn, C. G. (1998). Treatment of eating disorders.
In P. E. Nathan, & J. M. Gorman (Eds.), A guide to treatments that
work (pp. 501–530). New York: Oxford University Press.

Wilson, G. T., & Schlam, T. R. (2004). The transtheoretical model and
motivational interviewing in the treatment of eating and weight
disorders. Clinical Psychology Review, 24, 361–378.

Wilson, G. T., Vitousek, K. M., & Loeb, K. L. (2000). Stepped care
treatment for eating disorders. Journal of Consulting and Clinical
Psychology, 68, 564–572.

Woodside, D. B., Garfinkel, P. E., Lin, E., Kaplan, A. S., Goldbloom, D.
S., & Kennedy, S. H. (2001). Comparisons of men with full or
partial eating disorders, men without eating disorders, and
women with eating disorders in the community. American Journal
of Psychiatry, 158, 570–574.

This research was supported by a senior scholar grant awarded to the
first author from the Michael Smith Foundation for Health Research.

Address correspondence to Erin C. Dunn, Ph.D., Eating Disorders
Program, St. Paul’s Hospital, Psychiatry, 1081 Burrard St., Vancouver,
BC V6Z 1Y6 Canada; e-mail: edunn@providencehealth.bc.ca.

Received: January 14, 2009
Accepted: May 3, 2009
Available online 2 April 2010

mailto:edunn@providencehealth.bc.ca

  • Integrating Motivational Interviewing and Cognitive Behavioral Therapy in the Treatment of Eati…..
  • Treatment of Eating Disorders
    Treatment Dropout and Failure to Engage
    Application of MI to Eating Disorders
    Clinical Illustrations
    Newly Assessed Patients
    Example
    Patients Enrolled in Intensive, Symptom-Reduction Treatment Programs
    Example
    Individuals With Enduring Eating Disorders
    Example
    Individual Outpatients With a Fluctuating �Treatment Response
    Example
    Conclusions and Future Directions
    References

 
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Eating Disorders and Body Image

There have been a number of changes from the DSM-IV to the DSM-5 related to
classification and description of these disorders. First, categories have been
expanded and disorders grouped according to similarities observed in manifestation
and expression.

Feeding and Eating Disorders

This new DSM-5 classification includes diagnoses formerly included under eating
disorders and disorders usually first diagnosed in infancy, childhood, and adolescence.
This group of disorders is defined by the similarities in disruption to normal eating
behaviors. It includes pica, rumination disorder, avoidant/restrictive food intake disorder,
anorexia nervosa, bulimia nervosa, binge-eating disorder, other specified feeding or
eating disorder, and unspecified feeding or eating disorder.

Two of these diagnoses are new to the DSM-5: other specified feeding or eating
disorder and unspecified feeding or eating disorder. These take the place of eating
disorder NOS in the DSM-IV, which has been removed in the DSM-5. Both of these
diagnoses represent significant clinical distress or impairment based on criteria for
feeding or eating disorders but do not meet full criteria for a specific diagnosis in this
class. Clinicians should use other specified feeding or eating disorder and add the
specific reason for the more general diagnosis (e.g., weight or compensatory
behavioral observations which vary from specific diagnostic criteria). The latter
diagnosis—unspecified feeding or eating disorder—is used when clinicians cannot (or
choose not to) identify reasons for the inability to make a more specific diagnosis yet
clearly observe multiple criteria from the feeding and eating disorders classification.

The following is a brief summary of key changes to diagnoses in this group.

Pica

The diagnostic criteria for pica remain largely unchanged in the DSM-5. The most
significant change is the recognition that the diagnosis can be made in both children and
adults—previously, it had been included in the chapter on disorders usually first
diagnosed in infancy, childhood, and adolescence. A remission specifier has also been
added.

Rumination Disorder

The diagnostic criteria for rumination disorder remains largely unchanged in the DSM-
5, with the exception that Criterion C from the DSM-IV has been divided into two
separate criteria with language added for clarity. In addition, the DSM-5 includes the
recognition that the diagnosis can be made in both children and adults—previously, it
had been included in the chapter on disorders usually first diagnosed in infancy,
childhood, and adolescence. A remission specifier has also been added.

 
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Avoidant/Restrictive Food Intake Disorder

This new diagnosis takes the place of feeding disorder of infancy or childhood, found in
the DSM-IV. The criteria have been considerably expanded, to include symptoms
related to weight, behavior, physical health, and psychosocial functioning. Differential
diagnosis now includes reference to other disorders and medical conditions. Lastly, a
specifier that pertains to remission status has been added.

Anorexia Nervosa

Descriptions found under this diagnosis have been expanded considerably, though
the core symptomology remains unchanged. For example, Criterion A has been
revised for clarity, reflecting the manifestation of symptoms related to weight. In
addition, Criterion D from the DSM-IV has been entirely removed; this criterion
included the requirement of amenorrhea. Lastly, remission specifiers have been
added as well as specifiers linking severity with body mass index (BMI).

Bulimia Nervosa

The diagnostic criteria for this disorder in the DSM-5 are nearly identical to those found
in the DSM-IV, with two noted exceptions: First, Criterion C now includes once per week
for 3 months as the threshold duration. Second, severity specifiers that are directly
related to frequency of compensatory behaviors have been added.

Binge-Eating Disorder

This is a new disorder in the DSM-5, having been moved from Appendix B of the DSM-
IV following extensive research. The minimum frequency is different from that noted in
the DSM- IV; the DSM-5 notes that the binge eating must occur an average of once per
week for 3 months.

Obsessive-Compulsive and Related Disorders

This classification—new to the DSM-5—recognizes the similarities in presentation and
diagnostic criteria of disorders characterized by obsessions and/or compulsions. The
former refers to thoughts that are persistent and intrusive, while the latter denotes
behaviors an individual feels compelled to perform. This group of disorders is examined
more in depth with the topic of fears, phobias and anxieties. However, one diagnosis
with this group is included with this week’s topics, as it relates to concepts of self-
perception, often associated with eating disorders and body image.

Body Dysmorphic Disorder

This diagnosis has been moved from the somatoform disorders to this new classification
and several criteria altered, including specifications for repetitive behavior and
preoccupied thoughts. In addition, a specifier of “with muscle dysmorphia,” which

 
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denotes a persistent belief that the individual’s body is insufficiently developed in size
and/or musculature, has been added. The inclusion of the “absent insight/delusional
beliefs” specifier when applicable eliminates the potential for a second diagnosis of
delusional disorder, somatic type that was possible under DSM-IV diagnostic criteria.

Reference:

• American Psychiatric Association (2013). Highlights of changes from DSM-IV-TR
to DSM-5. Retrieved from
http://www.dsm5.org/Documents/changes%20from%20dsm-iv-
tr%20to%20dsm-5

Article

Family-Based Therapy for Pediatric
Anorexia Nervosa: Highlighting the
Implementation Challenges

Jennifer Scarborough
1

Abstract
Family-based therapy is a recommended treatment for children and adolescents diagnosed with an eating disorder. Despite the
promising results, this model is not without its challenges. Through literature review and treatment exemplars, this article
provides a brief overview of family-based therapy and highlights the many challenges for clinicians and parents implementing this
therapy. Noted challenges are barriers to clinical supervision, inadequate treatment options, time and finances, relationships, and
parental adjustment. This article concludes with implications for research and clinical practice.

Keywords
eating disorders, family based therapy, pediatric, maudsley, anorexia nervosa

Eating disorders have the highest mortality rate of any mental

illness, with 10–20% of individuals succumbing either to the
medical complications of the disorder or to suicide (Crow et al.,

2009; Fisher, 2006; Harris & Barraclough, 1998; Nielsen,

2001). The illness generally presents between the ages of 13

and 19; a time when an adolescent is still usually dependent on

their parents but is also experiencing greater autonomy (Scott,

Biskman, Woolgar, Humayun, & O’Connor, 2011; Smick, van

Hoeken, & Hoek, 2012; Weaver & Liebman, 2011).

Eating disorders can be difficult to treat. This is partly due

to the diagnosed individual’s inability to understand the

severity of their illness (Fisher, Schneider, Burns, Symons,

& Mandel, 2001). Thus, the involvement of parents can

greatly increase the chances of successful recovery (Golan

& Crow, 2004). Family-based therapy is currently a fre-

quently recommended treatment for children and adolescents

diagnosed with an eating disorder (American Psychiatric

Association, 2006; Findlay, Pinzon, Taddeo, & Katzman,

2010; Mitchum, 2010).

Although family-based therapy is a highly recommended

treatment, this intervention is not without its challenges. Pre-

sently, family-based therapy does not explicitly acknowledge

the additional pressures that parents face when engaged in

treatment. Everyday family demands (e.g., finances, relation-

ships) become more challenging with the added demands and

expectations of treatment.

The aim of this article is to highlight the many challenges

that are encountered when attempting to implement family-

based therapy. Understanding these issues is vital for success-

ful implementation. Exploring the potential barriers for parents

and clinicians is necessary in order to improve the chances of

successful implementation of family-based therapy as well as

longevity in treatment. This article is intended to help clini-

cians gain a better understanding of these pressures on parents

and to support their discussions with parents as well as open a

dialogue on the challenges faced in family-based therapy. In

addition, this article will help researchers develop a better

understanding of the parental experience when caring for an

adolescent diagnosed with an eating disorder as well as the

challenges of implementing family-based therapy.

This article begins with a brief overview of family-based

therapy to provide context and a general understanding of

manualized family-based therapy and its expected outcomes.

This is followed by an explanation of the procedures used in

identifying issues such as (1) training and adherence to family-

based therapy, (2) inadequate treatment options, (3) time and

finances, (4) relationship maintenance, and (5) parenting

adjustment and eating disorder resistance. Each discussion of

an issue is supported by literature and illustrated by an exem-

plar from family-based therapy practice. The article concludes

with a discussion of implications and suggestions for

improvement.

1
Faculty of Social Work, Wilfrid Laurier University, Kitchener, Ontario,

Canada

Corresponding Author:

Jennifer Scarborough, Faculty of Social Work, Wilfrid Laurier University, 120

Duke St. W., Kitchener, Ontario, Canada N2H3W8.

Email: jscarborough@wlu.ca

The Family Journal: Counseling and
Therapy for Couples and Families
2018, Vol. 26(1) 90-98
ª The Author(s) 2018
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Overview of Family-Based Therapy

This overview section is provided to inform readers of family-

based therapy and the role parents play in this treatment.

Family-based therapy is a treatment that encourages and moti-

vates parents to facilitate their child’s recovery by preparing

and supervising meals. Family-based therapy is a weekly out-

patient treatment that is nondirective in nature. The therapist is

more of a consultant asking parents questions to empower them

to arrive at decisions to fight the eating disorder. The purpose

of family-based therapy is to intervene to decrease the chances

for hospitalization.

Families were first included in the treatment of eating dis-

orders by Minuchin and his colleagues (Minuchin, Rosman, &

Baker, 1978). Due to their relative success with the inclusion of

families in treatment, Minuchin developed the model of the

psychosomatic family, which believed that familial dysfunc-

tions or enmeshments lead to disordered eating behaviors. In

addition to Minuchin’s structural family therapy, both the

Milan group and strategic family therapy influenced the devel-

opment of family-based therapy, which led to controlled stud-

ies conducted at Maudsley hospital in London (Loeb & Le

Grange, 2009).

Family-based therapy was eventually manualized by James

Lock, Daniel Le Grange, and colleagues in 2001. They have

since published a manual for bulimia nervosa and a second

edition of the original manual for anorexia nervosa. Family-

based therapy has specific components. These components are

that the therapist take an agnostic view of the illness, which

means that there are no assumptions as to what may have led

to the eating disorder onset. Since family-based therapy focuses

on what needs to be done in the present to quickly move forward

in recovery, the exploration of potential causes is not examined.

Another component of family-based therapy is externalization

of the illness. Additionally, parental empowerment is a key

feature, whereby the therapist is nonauthoritative and acts more

of a consultant to parents to guide and support them in aiding

their child to recovery (Lock & Le

Grange, 2013).

Family-based therapy has a recovery rate of about 50–60%
at 6 and 12 months follow-ups, with recovery defined as reach-

ing >95% ideal body weight and within 1 standard deviation of
community norms on the Eating Disorder Examination Ques-

tionnaire (Lock et al., 2010). In family-based therapy, parents

are seen as “functioning similar to an effective inpatient nur-

sing staff—at least during the first phase of treatment—albeit

in the home setting” and are tasked with this role as they “love

their children, know them well, and are highly invested in their

[child’s] survival” (Le Grange & Lock, 2011, p. 230).

Family-based therapy consists of three phases with 15–20

sessions in total over 12 months. These three phases are (1)

weight restoration, (2) returning control to the adolescent, and

(3) establishing healthy adolescent identity (Lock & Le

Grange, 2013).

In Phase 1, weight restoration, the therapist supports parents

in the renourishing of their ill child. The second session in this

first phase involves a supervised meal session where the

therapist can view and assist parents in encouraging their child

to eat a meal the parents bring. Throughout Phase 1, the thera-

pist models a noncritical stance toward the ill child and con-

tinues to support the parents in the refeeding process.

Phase 2, returning control to the adolescent, takes place

when the child has begun to show signs of acceptance of

increased food intake from the parent as well as weight gain

and an overall positive change in mood. In Phase 2, the parents

begin to encourage and support their child to regain control

over their eating as developmentally appropriate. Weight gain

remains a focus in this phase.

Phase 3, establishing healthy adolescent identity, is indi-

cated by the adolescent reaching and maintaining a minimum

of 95% ideal body weight. This phase focuses on adolescent
autonomy and establishing developmentally appropriate

boundaries for parents.

While family-based therapy is considered by some the first

line of treatment for eating disorders, there are certain instances

where this treatment may not be appropriate. Firstly, children

who are medically unstable, or suicidal, should be hospitalized

and not begin treatment until stable. Parents with severe psy-

chopathology may also be contraindicated for the uptake of

family-based therapy (Le Grange, Lock, Loeb, & Nicholls,

2010). Despite this, Le Grange, Lock, Loeb, and Nicholls

(2010) mention the importance of family involvement even

in difficult circumstances:

the assessment of families requires close attention to the parents’

competencies, motivation, and history of adverse or traumatizing

events. But even when such adverse circumstances are present, the

development of a play to help and support sufferers and how to

ease family burdens should take precedence over accusation and

blame. Thus, it is our position that families should be involved

routinely in the treatment of most young people with an eating

disorder. Exactly how such involvement should be structured, and

how it will be most helpful will vary from family to family. (p. 4)

While not contraindicated, there are several factors that are

worth mentioning that need to be kept in mind when implement-

ing family-based therapy. Children over the age of 18 or who

have had the eating disorder for longer than 3 years may not fare

as well compared to younger and less chronic children (Le

Grange, 2005; Lock & Le Grange, 2013; Loeb & Le Grange,

2009; Rienecke, 2017). Adolescents with comorbid psychiatric

disorders have higher rates of treatment dropout and lower

remission rates (Lock, Couturier, Bryson, & Agras, 2006). Par-

ents who present as hostile or overly critical may be better suited

for a separated form of family-based therapy, whereby the thera-

pist meets with the child and parents separate from each other

(Dare, Hodes, Russell Dodge, & Le Grange, 2000).

Procedures

The origin of this article emerged from observations of family-

based therapy through clinical practice, supervision of other

clinicians implementing family-based therapy, and agency-

Scarborough 91

based challenges. Through these observations, a number of

implementation issues have been identified.

In addition to clinical practice observations, and conversa-

tions with parents, clinicians working in the field of pediatric

eating disorders have echoed these difficulties when applying

family-based therapy. Once themes had been identified, a com-

prehensive literature search and review was completed focused

on these issues.

Using Primo, a library catalog search procedure, the key

words “parents, caregivers, family-based therapy, Maudsley,

eating disorders, children” were used to find appropriate liter-

ature about family-based therapy implementation challenges.

Once this literature was reviewed, pertinent material was then

combined with the author’s practice experiences, leading to

the identification and discussion of issues and challenges

within the family-based therapy model as presented in this

article. To effectively convey family-based therapy chal-

lenges, the article is organized into sections containing a

review of literature pertinent to the issues identified, followed

with an exemplar from practice, supervision, or agency admin-

istrative experiences.

Family-Based Therapy Demands on Clinicians

Clinicians who are trained in family-based therapy are fortu-

nate to have the ability to implement the most up to date,

evidence-based treatment for families who have a child diag-

nosed with an eating disorder. Despite having formal training

in this therapy, there remain several challenges that have con-

sequences for clinicians and clients.

Family-based therapy training and adherence for clinicians. Current
evidence in the treatment of eating disorders for adolescents

shows that outpatient treatment using a family-based approach

is effective in returning adolescents to health (Lock et al.,

2010). For this reason, a training institute to ensure quality of

care and proper training in the use of family-based therapy in

practice has been developed (see Training Institute for Child

and Adolescent Eating Disorders, 2017).

In order to be considered a certified family-based therapy

therapist, 2 days of training and 25 hr of individual supervision,

with tape recordings of sessions and in-person or phone meet-

ings, must be completed. In Canada, there are only five fully

certified family-based therapy therapists listed on the Training

Institute for Child and Adolescent Eating Disorders website.

This lack of fully certified family-based therapy therapists is

not surprising, as many agencies are unable to fund their clin-

icians in the full course of certification. What often happens is

just the 2-day workshop (Level 1) is completed. Due to this,

clinicians are often attempting to implement family-based ther-

apy without supervision.

A study by Couturier et al. (2013) found that several of the

key aspects of family-based therapy were not being adhered to

in agencies, such as weighing the adolescent at the start of all

sessions as well as the family meal which takes place in the

second session of Phase 1. Reasons for not implementing

certain key aspects of family-based therapy were due to various

factors such as the clinician’s scope in practice (e.g., weighing

of the patient is viewed as a medical role) or by organizational

barriers such as a lack of space to complete family meals within

the agency. For these reasons, parents are provided with more

of an informed family-based therapy rather than the manualized

model. In some cases, many therapists are using therapeutic

techniques that are not suggested or recommended by the

family-based therapy manual (Kosmerly, Waller, & Lafrance

Robinson, 2015).

Parents are led to believe that they may be receiving the

recommended treatment; however, in order to confidently

expect outcomes similar to those indicated in research, the

manualized treatment protocol must be followed. One of the

major issues with this informed family-based therapy is that

there is a lack of data on mixing therapeutic techniques. This

informed family-based therapy may mislead parents into

believing that they are receiving the evidence-based treat-

ment. Should the therapy fail, these parents may end up

believing that the best treatment to date was not enough to

help them, when in fact they never received the manualized

treatment in the first place.

In addition to this, supervision of clinicians implementing

family-based therapy is vital given that clinician anxiety has

been shown to lead clinicians to stray away from evidence

based the protocol (Waller, Stringer, & Meyer, 2012). In fact,

eating disorder clinicians working with children and adoles-

cents reported that negative emotions impacted clinician deci-

sions (Lafrance Robinson & Kosmerly, 2014, p. 10).

Supervision does exist specifically for the clinical blockages

that may hinder treatment progression (Lafrance Robinson &

Dolhanty, 2013). However, some agencies may be unable to

access this supervision due to financial limitations.

Supervision of treatment implementation is necessary to

help clinicians be aware of judgments they may have when

working with families. Part of family-based therapy is main-

taining a nonjudgmental and nonblaming stance toward par-

ents. Yet Couturier et al. (2013) reported that some clinicians

had “little sympathies for families who do not attend appoint-

ments during normal work hours, because therapists feel fam-

ilies would not hesitate to attend if their child was diagnosed

with a serious physical illness (e.g., cancer)” (p. 182).

Exemplar. In the case of Sam, a 15-year-old female with
anorexia nervosa, a referral to an outside, private therapist to

treat her depressive symptoms was made as her parents felt that

these emotions were the precursor to the development of the

eating disorder. Sam’s family-based therapy clinician sup-

ported the parents’ decisions since the child was not engaging

with the family-based therapy clinician and thus was not get-

ting enough emotional support through the process.

In the family-based therapy protocol, it is recommended that

all other forms of counseling be halted while in treatment. The

reason for this is demonstrated in Sam’s case, where contra-

dicting messages were given from the private therapist about

the parents’ role in refeeding. The private therapist

92 The Family Journal: Counseling and Therapy for Couples and Families 26(1)

recommended that Sam’s parents stop preparing and supervis-

ing Sam’s meals as this was contributing to Sam’s depression.

Sam felt that she was being treated like a toddler. The private

therapist assured the parents that Sam had learned skills to cope

with the depressive thoughts, which were similar to the eating

disorder thoughts. The parents then withdrew from family-

based therapy treatment, so Sam could pursue her individual

treatment for depression. A closing letter from the family-

based therapy clinician to the family doctor recommended

medical monitoring.

Sam eventually returned to the eating disorder agency. Her

eating disorder behaviors never ceased and weight loss contin-

ued while in private treatment for depression. The private

therapist eventually discharged Sam from her care as the med-

ical urgency of her weight loss became too pressing. When Sam

and her family returned to the agency, a referral was made to an

inpatient eating disorder program as her weight loss was too

extreme to manage on an outpatient basis.

Inadequate treatment options. For anorexia nervosa, family-
based therapy has a nonresponse to treatment rate of 15–30%
(Krautter & Lock, 2004; Lock et al., 2010). Some of the mod-

erators identified as having an impact on the outcome are (1)

the eating disorder’s severity at clinical assessment, (2) diag-

nosed comorbidities, (3) being an older adolescent, and (4)

parents with high emotional expression (Dare, Eisler, Russell,

& Szmukler, 1990; Le Grange et al., 1992, 2012; Murray & Le

Grange, 2014).

In terms of nonresponse to family-based therapy, Doyle, Le

Grange, Loeb, Doyle, and Crosby (2010) found that the stron-

gest indicator for remission was a weight gain of 2.88% by the
fourth session (approximately 1 month into therapy) of the

manualized treatment. For patients unable to achieve this

weight gain, another treatment model may be required. A key

challenge for clinicians is the lack of treatment options and

training for these treatment models that currently exist. As a

result, clinicians may desperately try to continue to use family-

based therapy and not know when, or how, to switch to another

form of therapy (Steiger, 2017).

Other treatments do exist for adolescents, either as comple-

ments to boost family-based therapy effectiveness or as alter-

native treatments to family-based therapy. They include (1)

adolescent focused psychotherapy (see Fitzpatrick, Moye,

Hoste, Lock, & Le Grange, 2010), (2) cognitive behavioral

therapy (see Dalle Grave, Calugi, Doll, & Fairburn, 2013),

(3) cognitive remediation therapy (see Lask & Roberts,

2013), and (4) emotion focused family therapy (see Robinson,

Dolhanty, & Greenberg, 2013).

There is a need for clinicians to have a variety of treatment

intervention options when working with families with a child

diagnosed with an eating disorder. However, to have a breadth

of training and knowledge in the various modalities can be

costly for agencies. It can also be confusing to clinicians in

selecting which treatment to implement when there is a non-

response to family-based therapy. Clinicians can also struggle

with how to effectively change and manoeuvre between these

treatments. As a result, the pressure clinicians may place on

parents to adhere to the family-based therapy treatment recom-

mendations may increase frustrations and a sense of hopeless-

ness when the model is proving to be noneffective. Switching

to another treatment can be confusing to parents and may send

mixed or contrasting messages if the course of treatment differs

greatly from family-based therapy.

Many of these alternative treatments do contradict family-

based therapy and focus on the adolescent as an individual. The

parent role is seen as secondary, perhaps having only once-a-

month progress sessions or 15 min at the end of a session for

support. This puts parents in a confusing position of going from

the prime role in the recovery to taking a back seat and becom-

ing a supportive bystander.

There are no clear protocols as to how to end family-based

therapy and transition to alternative treatment, but generally

treatment termination is based upon agency/institutional agree-

ment. Thus, it is recommended that at the outset of family-

based therapy treatment, the explicit limits of the program be

communicated to parents. Should there be an “inability on part

of the family to mobilize weight gain,” it may be beneficial for

teams to meet with parents to discuss progress and to reevaluate

the fit of family-based therapy for the patient and family

(Woodside, Halpert, & Dimitropoulos, 2015, p. 368).

Exemplar. Justin was a 16-year-old male who frequently
exercised to burn calories and restricted his caloric intake,

although his weight loss had not yet put him in the diagnostic

criteria for anorexia nervosa. Family-based therapy was imple-

mented for about six sessions, or a month and a half, but his

weight loss continued. After a lengthy discussion during clin-

ical rounds and with Justin’s parents, it was decided that Justin

would try adolescent focused psychotherapy. Justin’s parents

found this helpful and less stressful as sessions were individual

for Justin and collateral sessions for parents were infrequent.

However, over time, Justin’s parents began to struggle with

their lack of knowledge about what Justin was saying in ses-

sions as well as how to deal with Justin continuing to make his

own meals separate from the family. This, in fact, led to con-

flict as his parents would attempt to try to implement aspects of

family-based therapy despite no longer following this treat-

ment model. Justin’s parents struggled to be supportive of Jus-

tin’s “self-directed change” (Fitzpatrick et al., 2010, p. 35).

They felt they could not watch their child struggle in front of

them while they did, in their words, “nothing,” especially after

recalling the importance of parental involvement in family-

based therapy treatment.

Family-Based Therapy Expectations
of Parents

Research on adolescent interventions for eating disorders

recognizes that the involvement of parents in treatment

improves the chances of recovery (Godart et al., 2012). Parents

are no longer considered to be part of the cause of eating dis-

orders, instead they are seen as part of the solution. However,

Scarborough 93

family-based therapy can place high demands on already

exhausted parents and the pressure to implement the treatment

and monitor their child may prove to be daunting. There is a

responsibility and pressure for parents to follow the recom-

mended treatment, regardless of how taxing it may be, and

failure may be seen as caused by the parents’ inability to carry

out the treatment. In addition to caring for their ill child, parents

face external pressures when engaging in treatment.

Time and Finances

In family-based therapy, the expectation is that the entire family

will attend treatment sessions. For parents, this may mean tak-

ing time off work every week (Plath, Williams, & Wood, 2016).

A study of caregivers with a loved one above the age of 18

diagnosed with an eating disorder found that 40% of caregivers
reported having high (>21 hr per week) face-to-face contact

with their child, most of which was spent giving emotional and

nutritional support (Raenker et al., 2013). Given the recom-

mended family-based therapy model, it can be assumed that the

time demands on caregivers of an adolescent include signifi-

cantly higher face-to-face contact and support with their child.

This leaves little time for parental self-care and preservation as

well as time for other children or other aspects of living.

In family-based therapy, parents are expected to take charge

of their child’s weight restoration and interruption of symptoms

(i.e., exercising, vomiting, and restricting). Parents are often

spending more time preparing meals, waiting hours over these

meals for their child to finish, and monitoring their child if there

is compulsive exercise or other harmful behaviors (Findlay

et al., 2010). A recent study by Månsson, Parling, and Swenne

(2016) identified that parent directive tasks for family-based

therapy include having the child stay home from school, having

all meals with a parent, and not allowing the child to exercise or

vomit. While parents who could implement these tasks had

children who gained weight more quickly, the time required

to do these tasks, coupled with the emotional turmoil that par-

ents experience while intervening, is significant.

If parents are to intervene and effectively interrupt eating

disorder symptoms, it may be required that the child be

removed from school and a parent take a leave of absence from

employment (Hillege, Beale, & McMaster, 2006). The finances

lost by taking time off work, gas mileage, and parking, com-

bined with (for some parents) needing to buy additional high

energy items (i.e., homogenized milk, boost-plus drink, and

high-calorie granola bars) can create added stress on parents

during an already challenging time. Single parent families may

need a longer duration in family-based therapy treatment,

meaning a longer duration spent in financial strain with only

one income (Lock, Agras, Bryson, & Kraemer, 2005).

ExemplarMegan was a 14 year old with a diagnosis of anor-

exia nervosa purging subtype. She had purging symptoms via

vomiting and excessive exercising. Her family consisted of her

father who worked as a car mechanic, her mother (Susan) who

worked at a grocery store, and two siblings aged 16 and 12.

Given the severity of Megan’s difficulties, Susan took a leave

of absence from work to be able to prepare all her meals and

provide supervision postmeals. Megan was also removed from

school at the beginning of treatment while her parents

attempted to refeed her.

During a session, Susan was tearful when explaining that

because she was not working, their family budget could not

accommodate soccer for her other two children. The siblings

were reportedly very angry and blamed Megan. The agency

was able to provide funding for the two children to attend

soccer; however, Susan stated that she was not sure whether

she or her husband had the energy or time to drive each child to

their soccer games while also being present for

Megan.

Megan’s dinner would often take several hours to complete,

going well into the time when soccer would begin. When dis-

cussing if other parents of the soccer team members would be

able to bring the children to games, or if their father could take

over a meal role, Susan explained feeling guilty that all her

time and her husband’s was spent on Megan and that the other

two children were feeling neglected.

In the end, the siblings did not enrol in soccer. The siblings

were encouraged to continue to attend family-based therapy in

order to express their own frustrations and have their voices

heard; however, they often stated that they did not wish to

attend as they had other activities and homework they would

rather spend their time on than go to therapy.

Relationships

It is well-documented that eating disorders create tension and

challenges in family relationships (Gilbert, Shaw, & Notar,

2000; Highet, Thompson, & King, 2005; Hillege et al., 2006;

Honey & Halse, 2006). The demand family-based therapy has

on parents is exacerbated by potentially neglected relationships

with other family members. Maintaining relationships with

family members and friends is overshadowed by the reality

of the illness as well as the family-based therapy treatment and

its requirements. In family-based therapy, the whole family,

including siblings, are required to attend treatment, and family

vacations are often cancelled while the eating disorder beha-

viors are addressed and weight is restored (Gilbert et al., 2000).

These changes that affect the whole family can lead to resent-

ment, particularly between siblings, which adds another stres-

sor that parents need to manage.

Parents living together report that stress and strain increases

in their marriage (Hillege et al., 2006). This is a particularly

impactful reality of treatment, given that successful family-

based therapy requires parental unity and consistency. The

maintenance of the marital relationship and effective commu-

nication is crucial for successful treatment, yet time spent on

the couple relationship becomes less frequent. Parents are

under pressure to focus on creating consistent parenting proce-

dures and supervision of the child with an eating disorder.

Parents also report isolation from others (Treasure et al.,

2001). While relationships outside the home may offer addi-

tional support and respite for parents, making time for outside

relationships is difficult. In addition, parents report that many

94 The Family Journal: Counseling and Therapy for Couples and Families 26(1)

outside individuals, including extended family members, do

not completely understand the illness, and feeling stigmatized

from community members is well-documented (Ebneter, Lat-

ner, & O’Brien, 2011; Griffiths, Mond, Murray, & Touyz,

2015; Mond, Robertson-Smith, & Vetere, 2006; Stewart, Keel,

& Schiavo, 2006; Stewart, Schiavo, Herzog, & Franko, 2008).

This may be particularly difficult for single parent families who

are tasked with refeeding without support from an immediate

partner.

ExemplarIn the case of Megan’s family, there were many

reports of relationship difficulties and struggles beyond the

siblings’ resentment of Megan and the time and attention she

received from her parents. Susan (Megan’s mother) often felt

that she was alone in the refeeding, despite her husband being

available at breakfast and dinners as well as on weekends.

Susan spoke of how her husband was the sole income earner

and was unable to wait for Megan to complete her breakfast as

time spent waiting for her meal to finished would make him

late for work. At dinnertime, Susan’s husband was often

exhausted from his job as a mechanic and would become short

and angry with Megan when she would not comply with her

meal. Susan felt this caused more stress in the family and in

their marital relationship.

When discussing how to create time to connect with her

husband, Susan struggled. Even in the evenings, it was difficult

to connect as Susan was sleeping in her daughter’s room

because Megan would exercise in the middle of the night.

Planning couple evenings out was also a struggle. Extended

family lived out of province and Susan’s friends really did not

understand the seriousness of the illness and how to support

Megan.

Susan continued in isolation refeeding her daughter with

great difficulty. The therapist recommended that Susan call the

agency and speak with a clinician when she was struggling,

feeling isolated, or just needed to vent. Often, after hours,

Susan would leave voice messages explaining the difficulties

she had that day.

Megan did regain weight to a healthy range and later ses-

sions were focused on repairing relationships within the family

with the clinician using emotion focused family therapy tech-

niques. This required additional sessions beyond those outlined

in manualized family-based therapy.

Parenting Adjustment and Eating Disorder Resistance

Family-based therapy requires that parents monitor all meals

for the ill child in order to achieve weight gain. For many

parents, this poses a challenge since adolescence is generally

a time of autonomous exploration, yet treatment requires that

parents put autonomy development on hold for their child’s

health. Parents have to learn a new way to discipline and raise

their adolescent. For some parents, the struggle is how to parent

a child whom they no longer recognize. For example, Treasure

et al. (2001) noted how an introverted and worrisome child had

turned into having a volatile personality with “violent mood

swings” (p. 345).

Many parents find it difficult to differentiate what is normal

adolescent behavior and what is distress caused by the eating

disorder. For this reason, parents struggle to determine how to

discipline their child’s (at times) violent or abusive reactions

(Honey & Halse, 2005). Due to these reactions, parents may not

challenge or set boundaries for their child’s behaviors and are

often described as walking on eggshells around the adolescent

(Gilbert et al., 2000; Highet et al., 2005). Siegel (2010) noted

that when parents experience intense emotions, such as fear,

they may lose their innate caregiving knowledge. For example,

the fear of reintroducing a challenging food item that may

result in severe distress in their child may lead a parent not

to introduce the food at all (Stillar et al., 2016). For parents, the

pressure to push their child to eat resisted foods, or a higher

volume of food, may prove to be too difficult and produce fear

in parents. In family-based therapy where parents are to func-

tion as nursing staff, it is almost impossible for them to do so

without becoming emotional. In fact, this is what makes the

task challenging. It can be particularly hard for parents to

remain focused on refeeding when their child is threatening

self-harm or suicide.

Eating disorder treatment can also be a lengthy process

lasting from 6 to 12 months. Parents are faced with the strug-

gles of mealtimes, often 6 times a day, that are frequently

accompanied by distressing behavioral and mood changes. Par-

ents are the target of the child’s verbal and at times physical

backlash (Treasure, 2010). Kyriacou, Treasure, and Schmidt

(2008) found that comorbid behaviors combined with the

child’s rejection of help contribute to caregiver strains.

A study by Coomber and King (2013) found individuals

with an eating disorder underestimate the level of burden that

their loved ones experience. While for other illnesses, parents

may receive some response of appreciation for the sacrifices

they have made, in the case of eating disorders this is often not

the norm. This consistent lack of appreciation from the child,

and in fact more of a negative response to parental efforts,

contributes to parents doubting their role in their child’s treat-

ment. This leads to a greater chance of disillusionment with the

recommended treatment and a higher risk of burnout.

ExemplarLeona was a 13-year-old female diagnosed with

anorexia nervosa. Her parents described her as a child

that never yelled and never needed to be disciplined.

However, once the family began family-based therapy,

Leona became extremely violent, hitting her head on the

table and screaming at her parents during mealtimes. Leo-

na’s parents struggled to discipline her. They were unsure

whether disciplining Leona would be viewed as punish-

ing her for a symptom she could not control. Leona’s

parents continued to ignore the violent outbursts, but

when she began to threaten suicide, her parents stated

they could not continue to push her to eat high-calorie

meals. Despite Leona admitting to the clinician that she

was not suicidal and it was a desperate emotional reac-

tion, her parents began to collaborate with Leona around

mealtimes in order to prevent the hostile environment at

Scarborough 95

the dinner table. This collaboration led to continuous

weight loss as Leona took control of her meals, knowing

that her parents were fearful of challenging her.

Discussion

Although family-based therapy is a promising treatment for

adolescents diagnosed with an eating disorder, many factors

still need to be explored in terms of clinician barriers and

parental challenges that make this treatment difficult to imple-

ment. As stated by Rhodes, Baillie, Brown, and Madden

(2005), “given the establishment of the efficacy of the

[Family-Based Therapy], there is now a need for researchers

to turn their efforts to the question of how it can be improved”

(p. 400). By acknowledging these potential difficulties,

researchers and clinicians can create better supports for parents

in the treatment process.

The feasibility of resolving the barriers discussed in this

article is challenging. Additional finances for agencies are dif-

ficult to come by which affects proper training and supervision

for family-based therapy clinicians. For parents, a major issue

is what they can realistically give up without creating excessive

financial hardship. Agencies could potentially implement alter-

native session hours that are more in line with parent work

hours, but this requires agency staff to adjust their personal

lives and family responsibilities.

It would be useful for clinicians to frankly discuss with par-

ents the realities of life while in treatment and what they may

have to give up. As parental motivation is necessary for family-

based therapy, it is of importance to explore with parents what

could be demotivating to adopting this therapy model. Clini-

cians need to acknowledge the pressures and challenges that

parents will face in family-based therapy and have a clear dis-

cussion with parents on how to best support them through these

challenges. Making this a mandatory part of the initial clinical

assessment could be useful in starting the dialogue about chal-

lenges and how to problem solve issues as they arise. It may also

be beneficial for researchers to focus on how clinicians can

discuss these challenges with parents without shame or blame

and while maintaining hopefulness in the treatment.

Clinicians would benefit from supervision during family-

based therapy practice to uncover the ways in which their own

anxieties and judgments may impede them from implementing

the treatment. Supervision may also help with the transitioning

between treatments should there be a nonresponse to family-

based therapy. Agencies may benefit from implementing clin-

ical rounds that are focused specifically on the difficulties with

implementing family-based therapy, discussing specific cases

and problem-solving around these identified barriers. This

would help clinicians to remain true to the manualized model

of family-based therapy and to discuss key aspects of family-

based therapy that they struggle to implement rather than sim-

ply not applying the recommended tasks. This is also a more

cost-effective way to provide supervision.

The impact of the financial, relational, and emotional pres-

sures on parents is important for future research to explore. It is

also important to examine how parental experiences affect the

implementation of family-based therapy and long-term results.

By doing so, the field can better understand the challenges

parents face and how improvements could be made in order

to prevent dropout, parental burnout, and helping to combat the

potential chronicity of the illness.

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to

the research, author

ship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, author-

ship, and/or publication of this article.

References

American Psychiatric Association. (2006). Treatment of patients with

eating disorders, 3rd ed. American Journal of Psychiatry, 163,

4–54.

Coomber, K., & King, R. M. (2013). Perceptions of carer burden:

Differences between individuals with an eating disorder and their

carer. Eating Disorders, 21, 26–36.

Couturier, J., Kimber, M., Jack, S., Niccols, A., Van Blyderveen, S., &

McVey, G. (2013). Understanding the uptake of family-based

treatment for adolescents with anorexia nervosa: Therapist per-

spectives. International Journal of Eating Disorders, 46,

177–188. doi:10.1002/eat.22049

Crow, S. J., Peterson, C. B., Swanson, S. A., Raymond, N. C., Specker,

S., Eckert, E. D., & Mitchell, J. E. (2009). Increased mortality in

bulimia nervosa and other eating disorders. American Journal of

Psychiatry, 166, 1342–1346.

Dalle Grave, R., Calugi, S., Doll, H. A., & Fairburn, C. G. (2013).

Enhanced cognitive behaviour therapy or adolescents with anor-

exia nervosa: An alternative to family therapy? Behaviour

Research and Therapy, 51, R9–R12. doi:10.1016/j.brat.2012.09.

008

Dare, C., Eisler, I., Russell, G. F. M., & Szmukler, G. I. (1990). Family

therapy for anorexia nervosa: Implications from the results of a

controlled trial of family and individual therapy. Journal of Mar-

ital Family Therapy, 16, 39–57.

Doyle, P. M., Le Grange, D., Loeb, K., Doyle, A. C., & Crosby, R. D.

(2010). Early response to family-based treatment for adolescent

anorexia nervosa. International Journal of Eating Disorders, 43,

659–662. doi:10.1002/eat.20764

Ebneter, D. S., Latner, J. D., & O’Brien, K. S. (2011). Just world

beliefs, causal beliefs, and acquaintance: Associations with stigma

toward eating disorders and obesity. Personality and Individual

Differences, 51, 618–622.

Fitzpatrick, K. K., Moye, A., Hoste, R., Lock, J., & Le Grange, D.

(2010). Adolescent focused psychotherapy for adolescents with

anorexia nervosa. Journal of Contemporary Psychotherapy, 40,

31–39. doi:10.1007/s10879-009-9123-7

Findlay, S., Pinzon, T., Taddeo, D., & Katzman, D. K., Canadian

Paediatric Society, & Adolescent Health Committee. (2010).

Family-based treatment of children and adolescents with anorexia

96 The Family Journal: Counseling and Therapy for Couples and Families 26(1)

nervosa. Guidelines for the community physician. Paediatrics and

Child Health, 15, 31–35.

Fisher, M. (2006). Treatment of eating disorders in children, adoles-

cents, and young adults. Pediatric Review, 27, 5–16.

Fisher, M., Schneider, M., Burns, J., Symons, H., & Mandel, F. S.

(2001). Differences between adolescents and young adults at pre-

sentation to an eating disorders program. Journal of Adolescent

Health, 28, 222–227. doi:10.1016/S1054-139X(00)00182-8

Gilbert, A. A., Shaw, S. M., & Notar, M. K. (2000). The impact of

eating disorders on family relationships. Eating Disorders, 8,

331–345.

Godart, N., Berthoz, S., Curt, F., Perdereau, F., Rein, Z., Wallier,

J., . . . Jeammet, P. (2012). A randomized controlled trial of

adjunctive family therapy and treatment as usual following inpa-

tient treatment for anorexia nervosa adolescents. PLoS One, 7,

e28249. doi:10.1371/journal.pone.0028249

Golan, M., & Crow, S. (2004). Parents are key players in the preven-

tion and treatment of weight-related problems. Nutrition Reviews,

62, 39–50.

Griffiths, S., Mond, J. M., Murray, S. B., & Touyz, S. (2015). The

prevalence and adverse associations of stigmatization in people

with eating disorders. International Journal of Eating Disorders,

48, 767–774. doi:10.1002/eat.22353

Harris, E. C., & Barraclough, B. (1998). Excess mortality of mental

disorder. The British Journal of Psychiatry, 173, 11–53. doi:10.

1192/bjp.173.1.11

Highet, N., Thompson, M., & King, R. M. (2005). The experience of

living with a person with an eating disorder: The impact on the

carers. Eating Disorders, 13, 327–344.

Hillege, S., Beale, B., & McMaster, R. (2006). Impact of eating dis-

orders on family life: Individual parents’ stories. Journal of Clin-

ical Nursing, 15, 1016–1022.

Honey, A., & Halse, C. (2005). Parents dealing with anorexia: Actions

and meanings. Eating Disorders: The Journal of Treatment and

Prevention, 13, 353–367.

Honey, A., & Halse, C. (2006). The specifics of coping: Parents of

daughters with anorexia nervosa. Qualitative Health Research, 16,

611–629.

Kosmerly, S., Waller, G., & Lafrance Robinson, A. (2015). Clinician

adherence to guidelines in the delivery of family-based therapy for

eating disorders. International Journal of Eating Disorders, 48,

223–229.

Krautter, T. H., & Lock, J. (2004). Treatment of adolescent anorexia

nervosa using manualized family-based treatment. Clinical Case

Studies, 3, 107–123.

Kyriacou, O., Treasure, J., & Schmidt, U. (2008). Understanding how

parents cope with living with someone with anorexia nervosa:

Modeling the factors that are associated with carer distress. Inter-

national Journal of Eating Disorders, 41, 233–242.

Lafrance Robinson, A., & Dolhanty, J. (2013). Emotion-focused fam-

ily therapy for eating disorders across the lifespan. National Eating

Disorder Information Centre Bulletin, 28, 1–4. Retrieved from

http://emotionfocusedfamilytherapy.org/wp-content/uploads/

2016/07/NEDIC.EFFT_

Lafrance Robinson, A., & Kosmerly, S. (2014). The influence of

clinician emotion on decisions in child and adolescent eating

disorder treatment: A survey of self and others, eating disorders.

The Journal of Treatment & Prevention, 23, 162–176. doi:10.1080/

10640266.2014.976107

Lask, B., & Roberts, A. (2013). Family cognitive remediation therapy

for anorexia nervosa. Clinical Child Psychology and Psychiatry.

Advance online publication. doi:10.1177/1359104513504313

Le Grange, D. (2005). The maudlsey family-based treatment for ado-

lescent anorexia nervosa. World Psychiatry. 4, 142–146.

Le Grange, D., Eisler, I., Dare, C., & Hodes, M. (1992). Family crit-

icism and self-starvation: A study of expressed emotion. Journal of

Family Therapy, 14, 177–192.

Le Grange, D., & Lock, J. (2011). Eating disorders in children and

adolescents: A clinical handbook. New York, NY:

Guilford Press.

Le Grange, D., Lock, J., Agras, W. S., Moye, A., Bryson, S. W., Jo, B.,

& Kraemer, H. C. (2012). Moderators and mediators of remission

in family-based treatment and adolescent focused therapy for anor-

exia nervosa. Behaviour Research and Therapy, 50, 85–92.

Le Grange, D., Lock, J., Loeb, K., & Nicholls, D. (2010). Academy for

eating disorders position paper: The role of the family in eating

disorders. International Journal of Eating Disorders, 43, 1–5. doi:

10.1002/eat.20751

Lock, J., Agras, S. W., Bryson, S., & Kraemer, H. C. (2005). A

comparison of short- and long-term family therapy for adolescent

anorexia nervosa. Journal of the American Academy of Child &

Adolescent Psychiatry, 44, 632–639. doi:10.1097/01.chi.

0000161647.82775.0a

Lock, J., Couturier, J., Bryson, S., & Agras, W. S. (2006). Predictors of

dropout and remission in family therapy for adolescent anorexia

nervosa in a randomized clinical trial. International Journal of

Eating Disorders, 39, 639–647.

Lock, J., Le Grange, D., Agras, W. S., & Dare, C. (2001). Treatment

manual for anorexia nervosa: A family-based approach. New

York: Guildford Publications, Inc.

Lock, J., & Le Grange, D. (2013). Treatment manual for anorexia

nervosa: A family based approach (2nd ed.). New York, NY:

Guilford Press.

Lock, J., Le Grange, D., Agras, W. S., Moye, A., Bryson, S. W., & Jo,

B. (2010). Randomized clinical trial comparing family-based treat-

ment with adolescent-focused individual therapy for adolescents

with anorexia nervosa. Archives of General Psychiatry, 67,

1025–1032.

Loeb, K. L., & Le Grange, D. (2009). Family-based treatment for

adolescent eating disorders: Current status, new applications and

future directions. International Journal of Child and Adolescent

Health, 2, 243.

Månsson, J., Parling, T., & Swenne, I. (2016). Favorable effects of

clearly defined interventions by parents at the start of treatment of

adolescents with restrictive eating disorders. International Journal

of Eating Disorders, 49, 92–97.

Minuchin, S., Baker, L., Rosman, B. L., Liebman, R., Milman, L., &

Todd, T. C. (1975). A conceptual model of psychosomatic illness

in children: Family organization and family therapy. Archives of

General Psychiatry, 32, 1031–1038.

Minuchin, S., Rosman, B. L., & Baker, L. (1978). Psychosomatic

families: Anorexia nervosa in context. Cambridge, MA: Harvard

University Press.

Scarborough 97

http://emotionfocusedfamilytherapy.org/wp-content/uploads/2016/07/NEDIC.EFFT_

http://emotionfocusedfamilytherapy.org/wp-content/uploads/2016/07/NEDIC.EFFT_

Mitchum, R. (2010, October 5). A new gold standard for Anorexia

Treatment. Retrieved from https://sciencelife.uchospitals.edu/

2010/10/05/a-new-gold-standard-for-anorexia-treatment/

Mond, J. M., Robertson-Smith, G., & Vetere, A. (2006). Stigma and

eating disorders: Is there evidence of negative attitudes towards

anorexia nervosa among women in the community? Journal of

Mental Health, 15, 519–532.

Murray, S. B., & Le Grange, D. (2014). Family therapy for adolescent

eating disorders: An update. Current Psychiatry Report, 16, 1–7.

Nielsen, S. (2001). Epidemiology and mortality of eating disorders.

Psychiatric Clinics of North America, 24, 201–214.

Plath, D., Williams, L.T., & Wood, C. (2016). Clinicians’ views on

parental involvement in the treatment of adolescent anorexia ner-

vosa. Eating Disorders, 24, 1–19.

Raenker, S., Hibbs, R., Goddard, E., Naumann, U., Arcelus, J., Ayton,

A., . . . Treasure, J. (2013). Caregiving and coping in carers of

people with anorexia nervosa admitted for intensive hospital care.

International Journal of Eating Disorders, 46, 346–354.

Rienecke, R. (2017). Family-based treatment of eating disorders in

adolescents: Current insights. Adolescent Health, Medicine and

Therapeutics, 8, 69–79. doi:10.2147/AHMT.S115775

Rhodes, P., Baillie, A., Brown, J., & Madden, S. (2005). Parental

efficacy in the family-based treatment of anorexia: Preliminary

development of the parents versus anorexia scale (PVA). European

Eating Disorders Review, 13, 399–405.

Robinson, A. L., Dolhanty, J., & Greenberg, L. (2013). Emotion-

focused family therapy for eating disorders in children and adoles-

cents. Clinical Psychology & Psychotherapy. Advance online pub-

lication. doi:10.1002/cpp.1861

Scott, S., Briskman, J., Woolgar, M., Humayun, S., & O’Connor, T. G.

(2011). Attachment in adolescence: Overlap with parenting and

unique prediction of behavioural adjustment. Journal of Child

Psychology and Psychiatry, 52, 1052–1062.

Siegel, D. J. (2010). Mindsight. New York, NY: Bantam Books.

Smick, F. R., van Hoeken, D., & Hoek, H. W. (2012). Epidemiology

of eating disorders: Incidence, prevalence and mortality rates.

Current Psychiatry Report, 14, 406–414.

Steiger, H. (2017). Evidence informed practices in the real-world

treatment of people with eating disorders. Eating Disorders, 25,

173–181.

Stewart, M. C., Keel, P. K., & Schiavo, R. S. (2006). Stigmatization of

anorexia nervosa. International Journal of Eating Disorders, 39,

320–325.

Stewart, M. C., Schiavo, R. S., Herzog, D. B., & Franko, D. L.

(2008). Stereotypes, prejudice and discrimination of women

with anorexia nervosa. European Eating Disorders Review,

16, 311–318.

Stillar, A., Strahan, E., Nash, P., Files, N., Scarborough, J., Mayman,

S., . . . Lafrance Robinson, A. (2016). The influence of carer fear

and self-blame when supporting a loved one with an eating dis-

order. Eating Disorders, 24, 173–185.

Training Institute for Child and Adolescent Eating Disorders. (2017,

February 7). Retrieved from www.train2treat4ed.com

Treasure, J. (2010). How do families cope when a relative has an

eating disorder? In J. Treasure, U. Schmidt, & P. MacDonald

(Eds.), The clinician’s guide to collaborative caring in eating dis-

orders: The new maudsley method (pp. 145–159). East Sussex,

London: Routledge.

Treasure, J., Murphy, T., Szmukler, G., Todd, G., Gavan, K., & Joyce,

J. (2001). The experience of caregiving for severe mental illness: A

comparison between anorexia nervosa and psychosis. Social Psy-

chiatry and Psychiatric Epidemiology, 36, 343–347.

Waller, G., Stringer, H., & Meyer, C. (2012). What cognitive-

behavioral techniques do therapists report using when delivering

cognitive behavioral therapy for the eating disorders? Journal of

Consulting and Clinical Psychology, 80, 171–175.

Weaver, L., & Liebman, R. (2011). Assessment of anorexia ner-

vosa in children and adolescents. Current Psychiatry Report,

13, 93–98.

Woodside, B., Halpert, B., & Dimitropoulos, G. (2015). Implementing

Behavioural family therapy in complex settings. In K. L. Loeb, J.

Le Grange, & J. Lock (Eds.), Family therapy for adolescent eating

and weight disorders: New applications (pp. 361–371). New York,

NY: Routledge.

98 The Family Journal: Counseling and Therapy for Couples and Families 26(1)

https://sciencelife.uchospitals.edu/2010/10/05/a-new-gold-standard-for-anorexia-treatment/

https://sciencelife.uchospitals.edu/2010/10/05/a-new-gold-standard-for-anorexia-treatment/

http://www.train2treat4ed.com

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Contents lists available at ScienceDirect

Aggression and Violent Behavior

journal homepage: www.elsevier.com/locate/aggviobeh

Looking for the origins of anorexia nervosa in adolescence – A new treatment
approach

S. Matt Lacoste1

Univeristy of Toulouse, 5 Allée Antonio Machado, 31000 Toulouse, France

A R T I C L E I N F O

Keywords:
Anorexia nervosa
Family
Sexual assault
Psychological treatment
Case study

A B S T R A C T

Anorexia nervosa is an eating disorder, which affects particularly adolescents. The media coverage of feminine
thinness is demonstrated as a token of beauty, with diet as a tool to achieve this. However, diets are not enough
to explain the numerous cases. This disease is the symptom of a psychological disorder and looking for the origin
must coincide with psychotherapeutic treatment. Multifactorial explanations seem dominate within our female
patients. For most female patients, family problems and past experience with sexual assault explain this tran-
sition to anorexia. It is demonstrated throughout this paper how and why anorexia nervosa is used as a tool for
identification and personalization in the assumption of autonomy and independence, and how and why anorexia
becomes a defensive response to aggression. We give a clinical confirmation of the diverse origins of anorexia
nervosa and of the impact of sexual abuse. This paper proposes a new therapeutic approach to patients with
anorexia nervosa, in which the eating disorder is a symptom of an emotional disorder, often triggered by sexual
assault or emotional deprivation.

1. Introduction

Anorexia Nervosa is an “eating disorder with more or less system-
atized refusal to eat, acting as a reply form to psychic conflicts”
(Bloch & al., 2000). People with anorexia nervosa (90% are women)
have a distorted body image that causes them to see themselves as
overweight even if they are dangerously thin. In their lifetime2 0.5% to
3.7% of females suffer from anorexia nervosa. It is the third most
common chronic illness among adolescents3 after obesity and asthma.
Populations most deeply impacted by anorexia nervosa include women
in the age ranges 13–14 years old and the 18–20 years old. Studies
continue to support this research, noting that 95% of those who have
eating disorders are between ages of 12 and 25.4 Anorexia nervosa is a
full disease which impact around 1.5% of French women of 15 to
35 years old. Additionally in the United States of America, studies es-
timate that 1% of adolescents and 0.5 to 3.7% of women suffer from
anorexia nervosa.

While women of all social classes are impacted from anorexia ner-
vosa, it can be noted that matriarchal families seem to be over re-
presented (Marcelli & Braconnier, 2004). These subjects tend to deny
that their eating behavior is problematic and we estimate that only one

third of these people have received a treatment. Of these 30%, the
percentage of people recovered completely is low (Herzog,
Nussbaum, & Marmor, 1996). Four years after the anorexic period we
count 44% of patients with good recovery, but seven and half years
after, this number decreases to 33% (Herzog et al., 1999). A majority of
studies find that only 11% to 40% find recovery and 1 out of 2 anorexia
nervosa subjects relapse.

In accordance with Botha’s (2012) observations, traditional under-
standings and approaches to diagnosis and treatment for anorexia
nervosa seem to be unacceptable, inappropriate and laden with social
stigmatism. Societal stigma exacerbates these patients’ struggles,
leaving them dishonored, disabled, powerless and possibly in a place of
greater distress.

These factors in mind, as psychologist who treats anorexia nervosa
subjects, there are many questions that elevate in regards to recovery,
treatment, and long-term success for these individuals. The family
problematic and sexual abuse seem to be the mains origins of the be-
ginning of anorexia nervosa. The main idea is to understand the link
between the origin(s) of the disorder and its implementation. In this
way, a therapeutic strategy appears.

Understanding the inner thoughts of these individuals is essential in

http://dx.doi.org/10.1016/j.avb.2017.07.006
Received 28 October 2016; Received in revised form 13 June 2017; Accepted 26 July 2017

1 Psychologist (Private Practice) – Assistant Professor of Psychology.
E-mail address: Dr.matt.lacoste@gmail.com.

2 National Institute of Mental Health (1994).
3 Public Health Service’s Office in Women’s Health – Eating Disorders information Sheet (2000).
4 Substance Abuse and Mental Health Services Administration – US Department of Health and Human Services.

Aggression and Violent Behavior 36 (2017) 76–

80

Available online 03 August 2017
1359-1

78

9/ © 2017 Elsevier Ltd. All rights reserved.

MARK

http://www.sciencedirect.com/science/journal/13591789

http://www.elsevier.com/locate/aggviobeh

http://dx.doi.org/10.1016/j.avb.2017.07.006

http://dx.doi.org/10.1016/j.avb.2017.07.006

mailto:Dr.matt.lacoste@gmail.com

http://dx.doi.org/10.1016/j.avb.2017.07.006

http://crossmark.crossref.org/dialog/?doi=10.1016/j.avb.2017.07.006&domain=pdf

understanding why the recovery for this population is so challenging
and why treatments are mostly ineffective. With a bottom-up clinical
analysis of four patient therapies, throughout this paper we hope to
answer to these questions.

2. Literature review

1- Adolescence and family: a family issue as anorexia nervosa origin.

Anorexia Nervosa and Bulimia are linked to multiples factors
usually associated with psychological, family, social and biological in-
fluences. These items intertwine and impact each over, contributing to
the initiation, the maintenance and to the exacerbation of eating dis-
orders (Rogé & Chabrol, 2007). Coinciding with this notion, Fairburn
and Harrison (2003) found a combination of genetic variables im-
plicated anorexia nervosa development in conjunction with environ-
mental implications. Friends and family circle are connected to the
disorder de facto, by the causes, by the consequences or both. We could
find three times more anorexia nervosa subjects in the families whose
parents have a history of this disorder (Strober, Morrel, Burroughs,
Salkin, & Jacobs, 1985). This could confirm the genetic dimension of
eating disorders displaying during the 1990s’ (Bulik, Sullivan,
Wade, & al., 2000; Grice, Halmi, Fichter, & al., 2002). But, the herit-
ability of liability to eating disorders as Bulimia nervosa is difficult to
prove (Fairburn, Cowen, & Harrison, 1999). For Collier and Treasure
(2004, p. 365), “Increasingly, the consensus is that eating disorders are
complex disorders consisting of both genetic and social factors, with a
developmental component strongly linked to adult illness”.

Even if it seems difficult to define a psychological profile of anorexic
adolescents’ parents, studies show that anorexia nervosa is more
common with distant parents who would be inclined to neglect their
child, to not show affection, and when communication with children is
volatile. Conversely, it is also found within families with overprotective
parents who would be possessive, pervasive and they encourage ex-
cessively the family cohesion. These parents’ behaviors are typical of
the parents of anorexic child. “Many authors (Brusset, 1998; Jeammet,
1993) focus on failures in primary identification process mother/
daughter marked with a dependency where the ambivalence dom-
inates. The nature of the primary links would explain the frequent
narcissistic breaches in these patients, and breaches are responsible of
wrong perceptions of self-image and of body” (Marcelli & Braconnier,
2004, p. 153).

Shoebridge and Gowers (2000) found that the mothers of anorexia
nervosa subjects reported higher rates of near-exclusive child care, se-
vere distress at first regular separation and high maternal trait anxiety
levels than the mothers of control subjects. They also showed that fa-
milies with anorexia nervosa case, had experienced a severe obstetric
loss prior to their daughter’s birth. This could confirm that over-
protecting parents or high concern parenting in infancy could be as-
sociated with the later development of anorexia nervosa.

If the earlier mother’s behaviors would have a negative impact on
the adolescents’ eating behaviors, anorexia nervosa could be considered
as bodily intersubjective. The eating behavior and transformation of the
subject’s body play a role in the family relationship. Anorexia nervosa
affects not only the subject’s relation to food but also her relation to
others (Legrand & Briend, 2015) and especially to her parents. The
anorexia nervosa subject would use as a tool her eating disorder and
bodily shape to address others, to manifest her distress or her desire, to
put the others, and specially the parents, in a position to answer or to do
something for her distress (Legrand & Briend, 2015). The study of
Rothschild-Yakar, Levy-Shiff, Fridman-Balaban, Gur, and Stein (2010)
indicated that anorexia nervosa type patients presented significantly
lower mentalization levels and lower quality of current relationships
with their parents compared with non-eating disorder controls. When
the verbal dialog seems to be difficult, the adolescent would choose
another communication tool. Additionally, the adolescent could also try

to take power from her parents by her eating behavior. Indeed, anorexia
nervosa subjects are obviously facing with paradoxical behaviors and
thinking. The adolescent who searches for more autonomy, claims with
conflict more independence, addresses to her parents to be taken care of
by her eating disorder.

If sometimes, adolescents use anorexia nervosa to say something
because it’s too hard to use words, the therapy is the time to speak about
their distress. Several researches found a link between sexual abuse or
rape and anorexia nervosa.

2- Anorexia nervosa and sexual abuse.

Even if it is always difficult to have accurate measure of sexual
abuse rates, as confirm Fallon, Collin-Vezina, King, and Joh-Carnella
(2017) international trends from recent meta-analysis has shown
alarming rates of sexual abuse cases with 18 to 20% for females
(Pereda, Guilera, Forns, & Gòmez-Benito, 2009). Additionally, we know
that 70 to 75% of child victims wait 5 years or more to report before
disclosing the abuse (Hébert, Tourigny, Cyr, McDuff, & Joly, 2009). The
interaction of different factors, with some can be unconscious and dif-
ficult to identify, are generally at the origin of anorexia nervosa. Even if
it is sometimes possible to isolate a trigger event (e.g. injuring comment
on physical appearance, fight with parents, divorce of parents, romantic
break-up); it is typically one event too many more rather than an iso-
lated explanation. By contrast, it would seem that sexual assaults can be
the (main) explanatory trigger of anorexia nervosa. Even if some re-
searches try to argue the link between sexual abuse and eating disorders
(e.g. Smolak & Murnen, 2002), several studies confirm the results in our
patients in private practice. Favaro, Tenconi, and Santonastaso (2010)
show that physical or sexual abuse of children result significantly in
anorexia nervosa during adolescence. Deep, Lilenfeld, Plotnicov,
Pollice, and Kaye (1999) found that 27% of anorexia nervosa subjects
had antecedent of sexual abuse compared to a rate of 7% in control
women subjects and it could be more important for bulimia nervosa
patients (Casper & Lyubomirsky, 1997). According to the Center of
Disease Control and Prevention (2007), 1 in 4 of young people ex-
perienced verbal, physical emotional or sexual abuse from a dating
partner; 8% have been forced to have sexual intercourse when they did
not want and nearly 10% were hit, slapped or physically hurt by a
boyfriend or girlfriend within the 12 months prior taking the survey.5

Sexual abuse has been reported to occur in 30% to 65% of women with
eating disorder compared to 10% to 30% in rates of sexual abuse in the
general population (Connors & Morse, 1993; Daigneault, Collin-
Vézina, & Hébert, 2012; Deep et al., 1999; Zerbe, 1992). Faravelli,
Giugni, Salvatori, and Ricca (2004) shown that 53% of rape victims
reported current eating disorders symptoms compared to 6% of control
subjects. Thompson and Wonderlich (2004) found the same results.
Fischer, Stojek and Hartzell (2010, p.192) specify that a childhood
emotional abuse can be a predictor of current disorders symptoms.
They explain this result by the hypothesis “that an emotionally abusive
environment does not teach adaptive emotion regulation skills, and that
the use of maladaptive emotion regulation skills results in eating dis-
orders symptoms”. The eating disorder can be a strategy of avoidance or
regulation of emotion. Lejonclou, Nilsson, and Holmqvist (2014) con-
firm that for several traumas, the eating disorders subjects had ex-
perienced a significantly larger number of potentially traumatizing
events, and they specify that the number of adverse childhood experi-
ences and repeated traumas were associated with eating disorders for
adolescents and young women. All kind of child sexual abuse is a
traumatic experience and one of the major risk factor in the develop-
ment of mental health problems affecting both the current and future of
victims (Collin-Vézina, Daigneault, & Hébert, 2013).

Lyubomirsky, Sousa, and Casper (2001) specify that some

5 CDCP – Youth Risk Behavior Survey (2007).

S. Matt Lacoste Aggression and Violent Behavior 36 (2017) 76–80

77

personality traits like dissociation can mediate the relationships be-
tween abnormal eating and sexual abuse. The women with functional
coping could avoid binge eating even in case of sexual abuse, inversely
the dissociation associated to others negative affects lead to the most
important eating disorders.

In our non-exhaustive literature review, family and sexual abuse
seem to be two important origins of a disordered eating behavior and
can be associated in the development of the disorder. What about our
patients? Do they confirm these explanations? And how we can clini-
cally explain these processes?

3. Method

This article draws a new approach in the anorexia nervosa treat-
ment and in patient monitoring. Through a case study, the main goal of
this paper is to wonder about the origin of anorexia nervosa as well as
the adolescence specificity linked to these eating disorders.

This paper mainly uses 4 outpatient cases that were treated with
success in our private practice as clinical psychologist. We have selected
these cases to cover different ages and histories of the anorexia nervosa,
and because these women explained with their own words how and
why the anorexia nervosa became for them an answer, a coping
strategy. They also well represented the majority (67%) of our patients.

Mrs. C. (48 years old) suffered with anorexic eating behavior since
childhood. Raped at 22 years old, this assault intensified or escalated
the eating disorders. The therapy will reveal parents’ sexual and emo-
tional abuse since a young age. Now, she’s married, mother, and she’s a
female entrepreneur who put a lot of time and energy in her job.

Ms. E. (25 years old) was in her 4th year of graduate studies but
struggling a burn-out about her studies. The anorexia nervosa began
7 years before, she was an inpatient facility to address this crisis and her
endangered health. The numerous inpatient weeks did not give sa-
tisfactory outcomes. The relapses were systematic. She came the first
time with her mother who spoke more than Ms. E. about her health and
about the importance of her studies and graduation in 16 months.

Ms. D. is 17 years old, bright teenager with good results at school.
She was living with the anorexia nervosa for almost two years. She has
an older sister (24 years old) who is married and recent mother of tri-
plets. Ms. D.’s parents consider her older sister to be a role model and
often compare them. Ms. D. lived with her parents. They were over-
protective but since the triplets were born, they only focused on the
“new babies”.

Ms. S. (16 years old) develops an anorexia nervosa 2 years ago. Ms.
S. has to regularly help her mother to prepare family meals. During the
psychotherapy, Ms. S. will reveal she was raped at 14 years old by one
of her classmates, who is also a neighbor.

4. Data analysis and discussion

We introduce a case study of four female patients voluntarily en-
gaged in a therapeutic process. The therapeutic monitoring was orga-
nized with one or two weekly therapeutic consultation outpatient ses-
sions. The patients were fully with the disease or in the latter stages of
recovery, and their comments collected will be confronted with our
literature review and discussed.

1- Adolescence and family in our cases.

This is a fact that cultural and media pressures to be thin contribute
particularly to increase the number of eating disorders subjects (Fallon,
Katzman, & Wooley, 1994). This explanation is confirmed by Ms. E.
(25 years) when she explains “I felt round, I was 117 pounds for 5.2 feet,
so I went on a diet and gradually I could not swallow anything and I fell to
81.5 pounds”. But going further in our conversations, the family issue
came to emerge in the explanation of the disorder origin: “When I eat, I
feel fat and guilty because it costs money to my parents. […] Today I’m

desperately ill, I do not want to fight anymore. I have enough of life espe-
cially when I see that I hurt my parents”. A normal diet is often a mask
developed by the person to hide from the others (and from oneself
sometimes) the anorexia nervosa process which is going on. Anorexia
nervosa is addressed to others, inviting or rejecting them. Ms. E. seems
to manifest an alimentary communication by stripping food from its
nutritional matter in order to make it of an element of language, Ms. E.
would materialize her hunger in her body which is transformed to
address it to her parents (Legrand & Taramasco, 2016). These authors
explain that the subject eat, she eat nothing. This “nothing” she eats has
not gotten a nutritional value but a symbolic one. The food or the meal
is a communication system, and in this way anorexia nervosa is a food
communication. When she eats nothing, the anorexic subject removes
the nutritious matter of food to keep the language part only.

Conflicts are numerous during adolescence, they come from parents,
family, friends, loves, teachers, studies. They can be internal to the
subject herself who does not accept her body and the transformations
related to adolescence. Body changes are sometimes marked during
puberty and girls can, by anorexia nervosa, attempt to regain power
over this body that no longer suits them and no longer meets their
expectations.

Ms. E. (25 years) put her anxiety into words for others to under-
stand, “I don’t like when there are people at home and this is worsened if it
was not planned. At others’ home it’s just bearable. The more people that are
there, the more I fear”. But this distinction between home (family home)
and among friends does show us an underlying family problem ex-
plaining the disorder and the discontent facing this other? She fears this
invader who is going to introduce himself into her family cocoon plus to
observe and to note her thinness. Maybe, these “foreign family people”
could endanger her attempt to take the power on her parents. Anorexia
nervosa subjects can maintain the disordered eating behavior and their
thinness to preserve the family circle or the family unit (Selvini-
Palazzoli, 1986) because anorexia nervosa creates a reason to be
helpful, to be together.

The children or the teenager can use anorexia nervosa to avoid
growing up. By remaining a child, the person retains the carelessness of
childhood and keeps the parenting focus. Like that, Ms. E. (25 years)
confides, “I live at my parents’ home, they shake me all the time. They are
unhappy, my father is often angry. I feel guilty. They often tell me “you are
almost an adult, it’s time you took responsibility for your actions!”.
Becoming an adult is often perceived as a loss, as a nightmare to face
problems, constraints, obligations of life; it’s becoming responsible for
yourself (and others). “Eat your soup, you will grow up” can take some
teenagers into major anxiety. By not eating, could it not represent for
these children the symbolism of the fetal period when the umbilical
cord ensured that role for them?

Ms. D. (17 years) explained this, “my sister had just had triplets, I
struggled with that. Until that time I was the youngest of the family and I
used to get all attention. Suddenly all the attention focused on them and the
only thing I had left was my diet. And every time I felt alone, I consoled
myself by losing a pound. […] Finally, they paid attention to me, they
started to take care of me, they did not leave me alone anymore. […] This is
a part of me, I would like to stop, I don’t want to die but it’s very hard and I
don’t know how I can do it.” Ms. D. was also fighting against this am-
bivalence of adolescence. This constant quest of other people’s look,
express what the anorexia subject wants more than anything but what
she cannot say Take care of me! (Jeammet, 2010). Ms. S. (16 years) can
blame too sustained attention of her mother and at the same time she
maintains this concern by her eating behavior, “My mother always
bothers me so that I eat, she bugs me! Eating, this is not fun, it became an
order”. Therefore, her anorexia nervosa would become an opposition to
her mother to access some independence, typical of adolescence. At the
same time, her eating behavior is a tool to maintain her mother role like
nurturing, and to see her as a child. Thus, anorexia nervosa is the
“perfect” strategy which answers in the same time to two opposite
goals, and answers to the internal conflict of adolescence (not more a

S. Matt Lacoste Aggression and Violent Behavior 36 (2017) 76–80
78

child, not yet an adult).
This is another example of the paradoxical relationship between the

anorexic subject and others. The social (parental) relationships are
frightening and necessary in the same time, frightening because ne-
cessary (Jeammet, 2010). This ambivalence often appears with Ms. S. as
well when she describes herself. Our one on one allowed her to express
the limits of her behavior, and help to move beyond her disorder, “I feel
that there is a combination of two girls in me: one very ugly and one very
beautiful. I think I’m fat and thin […] I would like to be perfect to please
myself but I consider myself too thin now and I’m afraid to go to the beach”.
Ms. S. confirms here that her fine body bears the traces of her internal
trouble and in the same time, her obvious thinness express her un-
iqueness in the space where others can see these traces and respond
(Legrand & Taramasco, 2016). Relationships with parents are often re-
lationships of dependence. However, anorexia nervosa of the teenager
tries to reverse the roles because family becomes dependent of the
adolescent and of her relation to the food. This hold ensures the success
of an illusory control of the affective and family sphere. Conflicts with
parents become inevitable which reinforce the anorexia behavior. For
Legrand and Briend (2015) anorexia nervosa subjects struggle with this
paradoxical behavior because they fail to negotiate the difference be-
tween needs and desires. Desires are often insatiable and whether the
parents satisfy the needs, they cannot fulfill the unfulfillable desire.

For that matter, Ms. E. (25 years) confided that her “cousin is doing
the same, we were brought together. My mother’s side is considered quite
beefy. My aunt, my uncle, my grandfather are overweight. For my uncle, it’s
the same, he was an anorexic subject”. Did Ms. E. confirm a genetic role in
the explanation of the anorexia nervosa or did she describe a family
who cultivate an environment which fosters the development of anor-
exia nervosa? Was she fighting against a family relationship because
she felt a subjugation of her subjectiveness? That fear can be a reject of
the other, or a call to the other, or both together (Legrand & Taramasco,
2016).

The eating disordered behaviors often lead to a hostage of the fa-
mily which is undergoing a major anxiety regenerated at each meal-
time. The circle, particularly parents, tend to act and behave according
to the wishes and moods of the adolescent hoping she’s going to nourish
herself. Thereby if a balance of power can be built, the adolescent takes
the power on the destabilized and distressed parents, by submitting this
disorder living in a permanent anxiety about each possible future de-
viant. By playing on the feeling of guilt and on the protective parent-
hood sprout, the anorexic subject undermines the identity of parents
and put their social positioning and their attitudes in doubt. Indeed, at
the end of the therapy, Ms. D.’s mother said, “I do not think that we could
turn the page. There will always be this pall hanging over us at least as long
as she lives at home. We will have a little anxiety to know if she’s eating all
her meals. Me, I will wonder this, anyway”.

After analysis, Mrs. C. (48 years) also verbalized that she ate during
her childhood and adolescence at the level of the perceived parental
love. Developing a sense of abandonment, of lack of affection and of
reject from her parents, she expressed her feeling of these perceived
deficiencies, in the eating deficiencies. She experienced a correspon-
dence between the misery intensity and the anorexia nervosa. Mrs. C.
cumulated a harmful family environment, sexual abuse and rape.

2- Anorexia nervosa and sexual abuse in our cases.

Our practice confirms a large rate of young girls or women with
anorexia nervosa symptoms who were sexual abuse or rape victims
(67% of our anorexia nervosa patients). Cannot this physical attack, still
in that whole power of the mind over the body, expresses itself as well
in these young girls who have suffered sexual assaults? Because of the
bodily damage and the stolen privacy, it seems logical that the lack of
interest for sexuality is described as a symptom of anorexia nervosa.
Even if the sexual abuse and rape victims are not suffering of eating
disorder, within our cases, sexual assault can be cause of anorexia

nervosa and the weight loss. Ms. S. (16 years) explained that she fell in
anorexia nervosa after she was victim of rape. She said anything to
anybody before her psychotherapy, “after the rape by my neighbor, I felt
dirty, ashamed and guiltier than victim. I did not like the life anymore, I no
longer felt hungry, I did not want to do anything. But I kept the secret and
live like a robot, a scared robot”. The rape was clearly the triggering
event, but Ms. S. connected the family problematic when she said “In
addition, my mother always wants me to help her to prepare meals, I hate
that, it makes me even more disgusted”. With the secret of the rape wrote
on her body but invisible for the other and with a specific problematic
about food in her family, Ms. S. seemed to use the anorexia nervosa to
express her pain and to reveal her secret in order to wean herself off it.
The conflicts with her parents became regular, but it was a paradoxical
rebellion, remained under the wraps at the beginning, the secret
wanted to be visible to all by her gaunt body. Again, we understand
how anorexia nervosa is communication, it is a patient and stubborn
building of a body of which his vulnerability is a cry for protection
(Legrand & Taramasco, 2016).

The desexualization that results would have the goal to protect the
young girl who hopes with that she’s not going to create the desire of a
man anymore. Kestemberg, Kestemberg, and Decobert (1972) describe
this paradox of the anorexic subject who is struggling with an idealized
body (for its thinness), object of desire in one hand and a real body,
object of denial in the other hand. Is it the paradox of the anorexic
subject or the one of the girl sexually assaulted?

Mrs. C. (48 years) explains a posteriori that anorexia nervosa “led me
to drive my femininity off myself and to break the mind and the body
connection”. The bodily sensations disappear and this becomes a sur-
vival strategy against the sexual assault. Because of the rape, libido and
desire disappear and this feeling is reinforced by the anorexia nervosa
and its physiological consequences. Towards the forced use of her body,
the goal is to safeguarding her mind, her soul, her Self, I, while doing
the division between the body and the mind. After the assault, anorexia
nervosa would be the extension of this strategy. This contribute to the
euphoric time explanation and to the feeling that everything becomes
cerebral as explains Mrs. C. (48 years), “anorexia nervosa causes this
phenomenon of rising up, the body forget itself and just the mind exists. It’s
very exhilarating but very dangerous, I felt I could reach death”. The fight
then ensued between the mind and the body sometimes to the point of
living a marked dissociation between the two dimensions of the person.
The subject is in denial of her thinness and of health gravity especially
because this thinness gives a well-being and a control feeling.

The body of the victim is soiled and therefore rejected, the person
does exist only with her cognitive skills. What is the use to give food to
this body which can cause a credible or perceived attack? Why being
physically enviable if it results in becoming a victim of such tragic and
violent consequences? Our analysis confirms the Fallon et al.’s (1994)
study which shown that the sexual abuse victims adopt a restricting
eating behavior because they refuse to see their bodies developed with
secondary sexual characteristics during or after puberty, or because
they want to recover some control on their body.

5. Conclusion and therapeutic prospects

As some studies try to identify the risk populations (Favaro et al.,
2010), it seems difficult to bring out definite predictor factors. The
person is unable to express or manage other than that food deprivation,
“Sometimes I’m hungry between meals, but I prohibited it myself” (Ms. E.,
25 years). We define anorexia nervosa as the symptom and not as the
problem. This perspective will determine the approach and the treat-
ment by the clinical psychologist.

Following Legrand and Briend (2015), psychotherapies could pro-
gress if they avoid the dichotomy to focus on the symptoms or to focus
on the social and familial environment. Indeed, anorexia nervosa
treatment procedures are often focused on the patient’s eating behavior
and any weight gain or loss. It is often forgotten to research the triggers

S. Matt Lacoste Aggression and Violent Behavior 36 (2017) 76–80

79

of the anorexia nervosa for the subject. Is it not because psy-
chotherapies do not treat the origin of anorexia nervosa that this dis-
order has got this high relapse rate?

Even if we don’t deny the biological and neurophysiological im-
plications of the anorexia nervosa, we consider anorexia nervosa as the
expression of a psychic conflict experienced by the person in an op-
position posture. This is a symptom masking a discomfort, a trauma, an
emotional deprivation, an emotional disorder, an identity disorder, an
emotional shock or an internal social conflict. Anorexia nervosa is
rooted in this emotionally fragile people or with difficult life experi-
ences. Often, anorexia nervosa is the physical expression allowing the
nonverbal expression of a generally important psychological disorder.
By the thinness of their body and the visibility of their eating disorder,
patients show that a problem exists but they can decide whether they
will put words on the real problem (family issue, sexual assault, etc.) or
they will stay on struggling only on anorexia nervosa and keep the mask
on the origin of their anorexia nervosa. This eating disorder is a tool
that patients use to have the control, by this way they control their
relative, “I need help but I will say why only if and when I want”. Thus, our
efficient approach is to focus on the “why”. Respond to this question is
to provide another tool than the anorexia nervosa to speak about the
origin(s) of the symptom, and therefore treat all the problem’s con-
sequences by the psychotherapy.

The psychotherapy (inpatient or outpatient) remains the crucial
element in the anorexia nervosa treatment. The psychiatric protocols
with an excessive focus on weight gain are, for us, incomplete and in-
effective. The subject builds her personality and exists by means of her
thinness. If the psychotherapist’s work is focused on the thinness and on
to recover weight, he will reinforce the empowerment of the disease.
Albert Einstein explained that we cannot solve problems by using the same
thinking we used when we created them. As well for Sullivan, Bulik, Fear
and Pickering (1998, p.945), this kind of therapy “neglects the detec-
tion and treatment of associated psychological features and co-
morbidity”. These authors also note a very high lifetime prevalence of
several anxiety disorders. This proves that the problem is not resolved
and that the anorexia nervosa was a psychological expression of this
problem.

For Jeammet (1991) the kind, the quality, the consistency and the
duration of the anorexic subject treatment and accompaniment de-
termine the quality of the disorder recovery with the establishment of a
social, family and sexual life and an eating behavior close of the
“normalcy”. We see in our psychological practices, how much it’s im-
portant for the patient to establish a strong link with the clinician. We
can construct, with this link, a dynamic of work for that healing
journey. For this pathway, we mainly use two engines simultaneously:
the first is to answer to the question of the why? (Why the patient fell in
anorexia nervosa?), and the second is to set goals for short, mid and
long-term. The psychotherapy needs to be focused on the patient in a
holistic approach. We come back to Rogers (1957), in the therapeutic
relationship he turned to interpersonal qualities of the therapist,
namely empathy, unconditional positive regard and congruence. Thus,
focused on the patient, the therapist may provide the necessary con-
ditions for realizing the healing processes and create the ability to bond
or develop attachments in future relationships.

The rates of relapse have to alert us to the emergency of improving
the treatment for anorexia nervosa. The anorexia disorder being gen-
erally the symptom, research of the one or the several causes must be
the major goal of an efficient psychotherapy.

References

Bloch, H., & al. (2000). Larousse: Grand Dictionnaire de la Psychologie. Tours: Larousse.
Botha, D. (2012). No labels: Men in relationship with anorexia. Mooshine Media Editor.
Brusset, B. (1998). Psychopathologie de l’anorexie mentale. Paris: Dunod.
Bulik, C. M., Sullivan, P. F., Wade, J. J., & al. (2000). Twin studies of eating disorders: A

review. International Journal of Eating Disorders, 27, 1–20.
Casper, R. C., & Lyubomirsky, S. (1997). Individual psychopathology relative to reports of

unwanted sexual experiences as predictor of a bulimic eating pattern. International
Journal of Eating Disorders, 21, 229–236.

Collier, D. A., & Treasure, J. L. (2004). The etiology of eating disorders. British Journal of
Psychiatry, 185, 363–365.

Collin-Vézina, D., Daigneault, I., & Hébert, M. (2013). Lessons learned from child sexual
abuse research: Prevalence, outcomes and preventive strategies. Journal of Child and
Adolescent Psychiatric and Mental Health Nursing, 7(1), 22–30. http://dx.doi.org/10.
1186/1753-2000-7-22.

Connors, M. E., & Morse, W. (1993). Sexual abuse in the eating disorders: A review.
International Journal of Eating Disorders, 13(1), 1–11.

Daigneault, I., Collin-Vézina, D., & Hébert, M. (2012). La prévalence et la prévention de
l’agression sexuelle envers les enfants et les adolescents. Cahier Recherche et Pratique,
2(1), 20–23.

Deep, A. L., Lilenfeld, L. R., Plotnicov, K. H., Pollice, C., & Kaye, W. H. (1999). Sexual
abuse in eating disorder subtypes and control women: The role of comorbid substance
dependence in bulimia nervosa. International Journal of Eating Disorders, 25(1), 1–10.

Fairburn, C. G., Cowen, P. J., & Harrison, P. J. (1999). Twin studies and the etiology of
eating disorders. International Journal of Eating Disorders, 26(4), 349–358.

Fairburn, C. G., & Harrison, P. J. (2003). Eating disorders. Lancet, 361, 407–416.
Fallon, B., Collin-Vezina, D., King, B., & Joh-Carnella, N. (2017). Cinical differences and

outcomes of sexual abuse investigations by gender: Implications for policy and
practice. The Journal of Child & Adolescent Trauma, 10, 77–86. http://dx.doi.org/10.
1007/s40653-016-0121-0.

Fallon, P., Katzman, M. A., & Wooley, S. C. (1994). Feminist perspectives on eating disorders.
New York: Guilford Press.

Faravelli, C., Giugni, A., Salvatori, S., & Ricca, V. (2004). Psychopathology after rape.
American Journal of Psychiatry, 161, 1483–1485.

Favaro, A., Tenconi, E., & Santonastaso, P. (2010). The interaction between perinatal
factors and childhood abuse in the risk of developing anorexia nervosa. Psychological
Medicine, 40, 657–665.

Fischer, S., Stojek, M., & Hartzell, E. (2010). Effects of multiple forms of childhood abuse
and adult sexual assault on current eating disorders symptoms. Eating Behaviors, 11,
190–192.

Grice, D. E., Halmi, K. A., Fichter, M. M., & al. (2002). Evidence for a susceptibility gene
for anorexia nervosa on chromosome I. American Journal of Human Genetics, 70,
787–792.

Hébert, M., Tourigny, M., Cyr, M., McDuff, P., & Joly, J. (2009). Prevalence of childhood
sexual abuse and timing of disclosure in a representative sample of adults from the
province of Quebec. Canadian Journal of Psychiatry, 54, 631–636.

Herzog, D. B., Dorer, D. J., Keel, P. K., Selwyn, S. E., Ekeblad, E. R., Flores, A. T., … Keller,
M. B. (1999). Recovery and relapse in anorexia and bulimia nervosa: A 7.5 year
follow-up study. Journal of the American Academy of Child and Adolescent Psychiatry,
38(7), 829–837.

Herzog, D. B., Nussbaum, K. M., & Marmor, A. K. (1996). Comorbidity and outcome in
eating disorders. Psychiatric Clinics of North America, 19, 843–859.

Jeammet, P. (1991). Dysrégulation narcissiques et objectales dans la boulimie. In B.
Brusset, & C. Couvreur (Eds.), La Boulimie (pp. 81–104). Paris: PUF.

Jeammet, P. (1993). L’approche psychanalytique des troubles des conduites alimentaires.
Neuropsychiatrie de l’Enfance et de l’Adolescence, 41(5–6), 235–244.

Jeammet, P. (2010). Anorexie, boulimie: les paradoxes de l’adolescence. Paris: Librairie
Arthème Fayard/Pluriel.

Kestemberg, E., Kestemberg, J., & Decobert, S. (1972). La faim et le corps. Paris: PUF.
Legrand, D., & Briend, F. (2015). Anorexia and bodily intersubjectivity. European

Psychologist, Vol. 20(1), 52–61. http://dx.doi.org/10.1027/1016-9040/a000208.
Legrand, D., & Taramasco, C. (2016). Le paradoxe anorexique : quand le symptôme

corporel s’adresse à l’autre. L’Evolution Psychiatrique, 81(2)http://dx.doi.org/10.
1016/j.evopsy.2014.09.003.

Lejonclou, A., Nilsson, D., & Holmqvist, R. (2014). Variants of potentially traumatizing
life events in eating disorder patients. Psychological Trauma: Theory, Research,
Practice, and Policy, 6(6), 661–667.

Lyubomirsky, S., Sousa, L., & Casper, R. C. (2001). What triggers abnormal eating in
bulimic and nonbulimic women? Psychology of Women Quarterly, 25, 223–232.

Marcelli, D., & Braconnier, A. (2004). Adolescence et psychopathologie. Liège: Ed. Masson.
Pereda, N., Guilera, G., Forns, M., & Gòmez-Benito, J. (2009). The international epide-

miology of child sexual abuse: A continuation of Finkelhor (1994). Child
Abuse & Neglect, 33, 331–342.

Rogé, B., & Chabrol, H. (2007). Psychopathologie de l’enfant et de l’adolescent. Paris: Belin.
Rogers, C. R. (1957). The necessary and sufficient conditions of therapeutic personality

change. Journal of Consulting Psychology, 21, 95–103.
Rothschild-Yakar, L., Levy-Shiff, R., Fridman-Balaban, R., Gur, E., & Stein, D. (2010).

Mentalization and relationships with parents as predictors of eating disordered be-
havior. The Journal of Nervous and Mental Disease, 198(7), 501–507. http://dx.doi.
org/10.1097/NMD.0b013e3181e526c8.

Selvini-Palazzoli, M. (1986). Toward a general model of psychotic family games. Journal
of Marital and Family Therapy, 12, 339–349.

Shoebridge, P., & Gowers, S. G. (2000). Parental high concern and adolescent-onset an-
orexia nervosa, a case-control study to investigate direction of causality. British
Journal of Psychiatry, 176, 132–137.

Smolak, L., & Murnen, S. K. (2002). A meta-analytic examination of the relationship
between child sexual abuse and eating disorders. International Journal of Eating
Disorders, 31(2), 136–150.

Strober, M., Morrel, W., Burroughs, J., Salkin, B., & Jacobs, C. (1985). A controlled family
study of anorexia nervosa. Journal of Psychiatry Research, 19(2–3), 239–246.

Sullivan, P. F., Bulik, C. M., Fear, J. L., & Pickering, A. (1998). Outcome of anorexia
nervosa: A case-control study. American Journal of Psychiatry, 155(7), 939–946.

Thompson, K. M., & Wonderlich, S. A. (2004). Child sexual abuse and eating disorders. In
J. K. Thompson (Ed.), Handbook of eating disorders and obesity (pp. 679–694).
Hoboken, NJ: John Wiley & Sons.

Zerbe, K. J. (1992). Eating disorders in the 1990s: Clinical challenges and treatment
implications. Bulletin of the Menninger Clinic, 56(2), 167–187.

S. Matt Lacoste Aggression and Violent Behavior 36 (2017) 76–80
80

http://refhub.elsevier.com/S1359-1789(16)30176-8/rf2005

http://refhub.elsevier.com/S1359-1789(16)30176-8/rf0005

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http://refhub.elsevier.com/S1359-1789(16)30176-8/rf0015

http://refhub.elsevier.com/S1359-1789(16)30176-8/rf0015

http://refhub.elsevier.com/S1359-1789(16)30176-8/rf0020

http://refhub.elsevier.com/S1359-1789(16)30176-8/rf0020

http://refhub.elsevier.com/S1359-1789(16)30176-8/rf0020

http://refhub.elsevier.com/S1359-1789(16)30176-8/rf0025

http://refhub.elsevier.com/S1359-1789(16)30176-8/rf0025

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http://dx.doi.org/10.1186/1753-2000-7-22

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http://refhub.elsevier.com/S1359-1789(16)30176-8/rf0035

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  • Looking for the origins of anorexia nervosa in adolescence – A new treatment approach
  • Introduction
    Literature review
    Method
    Data analysis and discussion
    Conclusion and therapeutic prospects
    References

www

.

elsevier.com/locate/bodyimage

Body Image 1 (2004) 351–361

Idealized media images and adolescent body image:

‘‘comparing’’ boys and girls

Duane A. Hargreaves*, Marika Tiggemann

School of Psychology, Flinders University of South Australia,

G.P.O. Box 2100, Adelaide 5001, South Australia

Received 25 February 2004; received in revised form 6 October 2004; accepted 10 October 2004

Abstract

Sociocultural theories of body image suggest that body dissatisfaction results from unrealistic societal beauty ideals, and one

way of transmitting these ideals is through the mass media. The present research aimed to examine the effect of exposure to

images of idealized beauty in the media on adolescent girls’ and boys’ body image. The participants (595 adolescents) viewed

television commercials containing either images of the thin ideal for women, images of the muscular ideal for men, or non-

appearance television

commercials.

Body dissatisfaction was measured before and after commercial viewing. It was found that

exposure to idealized commercials led to increased body dissatisfaction for girls but not for boys. Idealized commercials led to

increased negative mood and appearance comparison for girls and boys, although the effect on appearance comparison was

stronger for girls. Further, participants high on appearance investment reported greater appearance comparison after viewing

idealized commercials than those less strongly invested in their appearance. The results suggest the immediate impact

of the media on body image is both stronger and more normative for girls than for boys, but that some boys may also be

affected.

# 2004 Elsevier B.V. All rights reserved.

Keywords: Body dissatisfaction; Mass media; Thin ideal; Muscular ideal; Social comparison

Introduction

Body dissatisfaction, which is common among

women of all ages, is especially prevalent during

adolescence when body image is ‘‘the most important

component’’ of adolescent girls’ self-esteem (Levine

* Corresponding author. Fax: +61 8 8201 3877.

E-mail address: duane.hargreaves@flinders.edu.au

(D.A. Hargreaves).

1740-1445/$ – see front matter # 2004 Elsevier B.V. All rights reserved

doi:10.1016/j.bodyim.2004.10.002

& Smolak, 2002a, p. 77). Arguably the most likely

cause of body dissatisfaction among adolescent girls is

the current unrealistic standard of female beauty

which places an inordinate emphasis on thinness

(Fallon, 1990; Heinberg, 1996; Rodin, Silberstein, &

Striegel-Moore, 1985), and which is unattainable for

most girls (Ackard & Peterson, 2001; Rosenblum &

Lewis, 1999). This ideal standard of beauty is

conveyed to individuals via a number of sources

including family, peers and the mass media (van den

.

D.A. Hargreaves, M. Tiggemann / Body Image 1 (2004) 351–361352

Berg, Thompson, Obremski-Brandon, & Coovert,

2002). The mass media, which include magazines and

television, are often regarded as the single strongest

influencing factor on adolescent body image (e.g.,

Irving, 1990, p. 239; Levine & Smolak, 1996, p. 238;

Mazur, 1986; Raphael & Lacey, 1992; Silverstein,

Perdue, Peterson, & Kelly, 1986).

A small number of studies have examined the

impact of media images on the body image of

adolescents. Correlational studies show that adoles-

cent girls who read more magazines and watch more

television report greater body dissatisfaction (Ander-

son, Huston, Schmitt, Linebarger, & Wright, 2001;

Botta, 1999; Field et al., 1999; Harrison, 2000, 2001;

Hofchire & Greenberg, 2002; Levine, Smolak, &

Hayden, 1994). Experimental studies show that

exposure to idealised media images leads to increased

state body dissatisfaction for girls (Durkin & Paxton,

2002; Groesz, Levine, & Murnen, 2002; Hargreaves &

Tiggemann, 2002, 2003; Stice, Spangler, & Agras,

2001). To date, however, only a few correlational

studies have included boys (Anderson et al., 2001;

Botta, 2003; Harrison, 2000, 2001; Morry & Staska,

2001). While a small number of experimental studies

have found a negative impact of muscular-ideal

magazine images on college-aged men (Grogan,

Williams, & Connor, 1996; Leit, Pope, & Gray,

2002; Ogden & Mundray, 1996, but see Kalodner,

1997), no experimental studies of the media’s

immediate impact on the body image of adolescent

boys have been conducted. Although boys’ body

dissatisfaction is typically less severe than for girls

(e.g., Feingold & Mazzella, 1998; Field, Colditz, &

Peterson, 1997; Muth & Cash, 1997; Thomas,

Ricciardelli, & Williams, 2000), they too express

dissatisfaction with their body weight and appearance

(Cohane & Pope, 2001; Levine & Smolak, 2002a;

Ricciardelli & McCabe, 2001). Such dissatisfaction

has been linked to a number of negative consequences

including the development of dieting, excessive

exercise, and low self-esteem (Olivardia, 2002).

Like girls, the most likely cause of body

dissatisfaction among boys is an unrealistic appear-

ance ideal (Mishkind, Rodin, Silberstein, & Striegel-

Moore, 1986; Westmoreland-Corson & Andersen,

2002). The current ideal male body is lean but highly

muscular, characterised by a ‘‘well-developed chest

and arms, with wide shoulders tapering down to a

narrow waist’’ (Pope et al., 2000, p. 30). Images of this

ideal have become increasingly common in the media

(Pope et al., 2000). For example, compared to 25 years

ago, men are now more often bare chested in

magazines (Pope, Olivardia, Borowiecki, & Cohane,

2001), in accord with increased sexual objectification

of male bodies in mainstream advertising (Rohlinger,

2002). Repeated exposure to images of unrealistically

muscular male ideals may cause men to feel insecure

about their own bodies, parallel to the way in which

exposure to images of unrealistically thin models

promotes body dissatisfaction among girls.

The purpose of the present experiment was to

examine the impact of televised images of idealised

male attractiveness, in addition to female attractive-

ness, on ado

lescent body image.

Effects on the

underlying process, and individual differences in

reaction, were also examined. Social comparison

theory (Festinger, 1954; Suls & Wheeler, 2002; Wood,

1989) would suggest that the mechanism by which

media exposure influences body image is appearance-

related social comparison. Specifically, a number of

authors (Cattarin et al., 2000; Durkin & Paxton, 2002;

Martin & Kennedy, 1993; Richins, 1991; Tiggemann

& McGill, 2004) reason that viewing television, or

reading magazines, prompts individuals to evaluate

their own appearance by comparison to the salient and

highly attractive models who pervade such media.

Because this process leads most individuals to find

themselves wanting, such upward social comparison

produces a negative evaluation of one’s own physical

appearance, resulting in a state-like increase in body

dissatisfaction.

In addition there are likely to be stable individual

differences in comparison tendency relating to

appearance (Wood, 1989). Such differences might

predict who engages in ‘‘state’’ appearance-related

social comparison to media images, and is therefore

most vulnerable to the media’s effect on body image.

Recent evidence suggests girls are more likely to

engage in appearance-related social comparison than

boys (Jones, 2001). Moreover, individuals who have a

trait-like tendency to engage in appearance-related

social comparison (Thompson, Heinberg, & Tantleff,

1991), or who are more strongly invested in their

appearance, sometimes referred to as appearance

schematics (Cash & Labarge, 1996), may be

particularly likely to engage in appearance compar-

D.A. Hargreaves, M. Tiggemann / Body Image 1 (2004) 351–361 353

ison to media images. We propose that these stable

individual difference variables (e.g., trait social

comparison, appearance schematicity, and gender)

interact with characteristics of the media image (e.g.,

salience of the model’s attractiveness) to predict when

media exposure will prompt appearance-related

comparison and increased body dissatisfaction.

To date this perspective has been investigated only

for women and girls. In a recent study, Tiggemann and

McGill (2004) showed that both the experimental

variable of media type (thin-ideal or control) and the

stable individual difference variable of trait social

comparison predicted actual comparison to media

images and increased body dissatisfaction. We believe

this perspective is equally applicable to an under-

standing of men’s and boys’ body image. The present

study used a 2 � 2 between subjects experimental
design to investigate the effects of commercial

condition (thin ideal, muscular ideal, non-appearance

control) and instructional set (appearance-focus,

distracter) on boys’ and girls’ appearance-related

social comparison and state body dissatisfaction. Trait

social comparison and appearance schematicity were

assessed as possible moderating variables. It was

predicted that boys (girls) would report greater body

dissatisfaction and appearance comparison after

viewing muscular-ideal (thin-ideal) commercials than

non-appearance commercials, and that adolescents

high on trait social comparison and appearance

schematicity would be most strongly affected.

1
Although some girls (n = 128) viewed the muscular-ideal

commercials, and some boys (n = 125) viewed thin-ideal commer-

cials, the results for these participants are not reported.

Method

Participants

The participants were 595 adolescent students (310

girls, 285 boys) from two South Australian metropo-

litan coeducation public high schools of medium

socio-economic status. Students were in years 8–12

and with a mean age of 14.3 years (SD = 1.4).

Participants were allocated to the thin-ideal, muscular-

ideal, or non-appearance commercial condition by

random allocation of class group (n = 42), and were

randomly allocated to the instructional set conditions

on an individual basis. This procedure resulted in a

total of 153 girls in the thin-ideal commercial

condition, 157 girls in the non-appearance commercial

condition, 146 boys in the muscular-ideal commercial

condition, and 139 boys in the non-appearance

commercial condition
1
.

Materials

State mood and body dissatisfaction

A number of visual analogue scales (VAS) were

used as measures of body dissatisfaction and mood.

Participants were asked to indicate how they feel

‘‘right now’’ on a series of four mood dimensions:

‘‘Happy’’; ‘‘Worried’’; ‘‘Confident’’; and ‘‘Angry’’;

and four dimensions of body satisfaction: ‘‘Fat’’;

‘‘Strong’’; ‘‘Dissatisfied (unhappy) with weight and

shape’’ and ‘‘Dissatisfied (unhappy) with overall

appearance’’. Each participant completed the VAS on

two occasions: 5 min before commercial viewing and

immediately after commercial viewing. VAS scores,

which are measured to the nearest mm, have been

previously shown to correlate significantly with longer

measures of mood and body dissatisfaction (Heinberg

& Thompson, 1995).

Three of the four body dissatisfaction VAS were

significantly intercorrelated (rs > 0.52, p < 0.001) and so were combined to form a composite state

body dissatisfaction variable. The three-item scale

(weight dissatisfaction, appearance dissatisfaction,

fat) displayed very good internal consistency for the

present sample, a = 0.85. Intercorrelations between

the four mood VAS were also significant (rs > 0.24,
p < 0.001), and so were combined to form a composite mood variable (happy and confident were

reverse coded, such that higher scores reflect greater

negative affect). The four-item negative-mood scale

showed acceptable internal consistency for the present

sample, a = 0.66. The composite state body dissa-

tisfaction and negative mood variables were signifi-

cantly positively correlated, r = 0.42, p < 0.001.

State appearance comparison

A series of self-report items, based on Tiggemann

and McGill (2004), assessed appearance-related social

comparison during commercial viewing. Participants

were asked to use a Likert scale ranging from 1 = not

D.A. Hargreaves, M. Tiggemann / Body Image 1 (2004) 351–361354

at all to 7 = very much to indicate what they had

thought about while viewing the commercials. The

five items assessed how much they: (1) thought about

the qualities of the commercials; (2) thought about the

effectiveness of the commercials; (3) thought about

the attractiveness of the people in the commercials; (4)

compared their own appearance to the actors in the

commercials; and (5) wanted to be like the actors in

the commercials. Questions 2 and 3 served as a

manipulation check of the instructional set which

asked participants to rate the ‘‘effectiveness of the

commercials’’ (Question 2) or the ‘‘attractiveness of

actors in the commercials’’ (Question 3). Responses to

Question 4 formed the single-item state appearance

comparison variable.

Appearance schematicity

The Appearance Schemas Inventory (ASI) (Cash &

Labarge, 1996) was used to measure appearance

schematicity. Using a five-point Likert scale ranging

from 1 = strongly disagree to 5 = strongly agree,

respondents indicate their level of agreement with 14

statements (e.g., ‘‘What I look like is an important part

of who I am’’, ‘‘Attractive people have it all’’), such

that high scores reflect higher appearance schemati-

city. Tests of internal consistency for the present

sample showed good reliability for both girls

(a = 0.86) and boys (a = 0.81).

Trait social comparison

The Physical Appearance Comparison Scale

(PACS) (Thompson et al., 1991) measures the degree

to which individuals tend to compare their appearance

with others. Participants indicate their agreement with

five statements (e.g., ‘‘In social situations, I compare

my figure to the figure of other people’’) using a five-

point scale ranging from 1 = never to 5 = always.

Tests of internal consistency for the present sample

showed good reliability for both girls (a = 0.84) and

boys (a = 0.79). Both trait social comparison and

appearance schematicity were measured approxi-

mately 15 min after participants completed the

dependent measures.

Experimental manipulation: videotape stimulus

Three sets of video stimulus materials were compiled,

each containing 18 television commercials. In the first

set, referred to as thin-ideal commercials, 15 of the 18

commercials contained female actors who ‘‘epitomise

societal ideals of thinness and attractiveness’’ for women

(Heinberg & Thompson, 1995, p. 331). The actors were

typically well-toned, tanned, free of body hair, well-

groomed, youthful, large-breasted and, most impor-

tantly, thin. The second set of television commercials,

referred to as muscular-ideal commercials, was similar

to the first in terms of product category and judged

effectiveness, but contained images of men who

epitomise societal ideals of muscularity and attractive-

ness. The men typically had well-built, tanned, and toned

upper bodies. The men were also bare-chested for all or

part of the commercial in the majority of selected

commercials (11 out of 15). The third set of commercials

contained no actors who epitomised either the

thin ideal for women or the muscular ideal for men.

To ensure that these commercials (control condition)

were of equal interest to viewers, they were matched to

the first two sets on both effectiveness and product

category.

The commercials were collected from Australian

prime-time television. A pilot tape of 145 commer-

cials (grouped into nine product categories: clothing;

food and drink; music; movies and television;

cosmetics and health; cars; communications and

electronics; finance, banking, and insurance; other)

was shown to 12 (six female and six male) under-

graduates (M age = 19.3, SD = 1.7). The students rated

each commercial on three seven-point scales accord-

ing to the following criteria: (1) ‘‘to what extent do the

actors epitomise the current thin ideal for women?’’

(2) ‘‘to what extent do the actors epitomise the current

muscular-attractiveness ideal for men?’’ and (3) ‘‘how

effective is the commercial?’’ Using these ratings, the

15 commercials that most epitomised the muscular

ideal for men were chosen first (due to their lower

availability). The 15 commercials that most epito-

mised the thin ideal for women, and were of

comparable effectiveness and product type, were then

matched to these commercials and, finally 15

commercials that contained women and men of

‘‘normal’’ appearance were matched to these com-

mercial sets. The product categories were also

matched where possible. A further three non-

appearance commercials were selected and included

in all three commercial sets to help disguise the

purpose of the study.

D.A. Hargreaves, M. Tiggemann / Body Image 1 (2004) 351–361 355

Experimental manipulation: instructional set

Instructions for viewing the commercials were

manipulated using a commercial rating task. Half the

participants were asked to rate the attractiveness of the

actors (appearance focus condition) in each commer-

cial using a five-point scale ranging from 1 = not at all

attractive to 5 = extremely attractive. This instruction

was designed to explicitly focus participants’ attention

on appearance-related aspects of the commercials. In

contrast, the other half of participants (distracter

condition) were asked to rate the overall effectiveness

of each commercial (1 = not at all effective, 5 = extre-

mely effective), and as such were explicitly asked to

focus on non-appearance-related content of the

commercials.

Results

The effect of television commercials on girls’ and

boys’ body dissatisfaction

The adjusted means (controlling for pre-commer-

cial state) for girls and boys after commercial viewing

on the body dissatisfaction outcome variable (average

of fat, weight dissatisfaction, appearance dissatis-

faction) are presented in Table 1. A 2 (Gender) � 2
(commercial condition) � 2 (Instructional set)
ANCOVA (controlling for the pre-commercial vari-

Table 1

Adjusted mean (standard errors in parentheses) body dissatisfaction

among girls and boys after commercial viewing

Variable Non-App Ideal Total

Girls

Distracter 26.6 (1.18) 31.6 (1.21) 29.1 (0.85)

Appearance focus 28.8 (1.20) 33.7 (1.20 31.3 (0.86)

Total 27.7 (0.84) 32.7 (0.86) 30.2 (0.61)

Boys

Distracter 25.1 (1.25) 22.4 (1.26) 23.8 (0.90)

Appearance focus 27.2 (1.28) 27.8 (1.20) 27.5 (0.88)

Total 26.1 (0.91) 25.1 (0.87) 25.6 (0.64)

Combined

Distracter 25.8 (0.86) 27.0 (0.87) 26.4 (0.61)

Appearance focus 28.0 (0.87) 30.8 (0.84) 29.4 (0.60)

Total 26.9 (0.61) 28.9 (0.61) 27.9 (0.43)

able) was conducted to test the prediction that viewing

thin/muscular-ideal commercials would lead to

greater body dissatisfaction than viewing non-appear-

ance-related commercials. The results show signifi-

cant main effects of gender, F(1, 586) = 25.20,

p < 0.001, eta2 = 0.04, commercial condition, F(1, 586) = 5.34, p < 0.05, eta2 = 0.01, and instructional set, F(1, 586) = 11.87, p < 0.05, eta2 = 0.02. The appearance focus instructions produced more body

dissatisfaction than the distracter instructions. The

main effects of gender and commercial condition were

modified by a significant Gender � Commercial
condition interaction, F(1, 586) = 12.26, p < 0.001, eta

2
= 0.02. As predicted, girls viewing thin-ideal

commercials had significantly greater body dissatis-

faction (M = 32.7) than those viewing the non-

appearance commercials (M = 27.7), F(1, 307) =

16.08, p < 0.001, eta2 = 0.05. In contrast, boys in the muscular-ideal condition did not report greater

body dissatisfaction (M = 25.1) than boys in the non-

appearance condition (M = 26.1), F(1, 282) < 1, p > 0.05. There were no further significant two- or
three-way interactions, Fs < 1.04, p > 0.05.

The effect of television commercials on girls’ and

boys’ state mood

Table 2 presents the adjusted means (controlling for

pre-commercial state) for girls and boys after

commercial viewing on the negative mood outcome

Table 2

Adjusted mean (standard errors in parentheses) negative mood

among girls and boys after commercial viewing
Variable Non-App Ideal Total
Girls

Distracter 21.7 (1.05) 23.6 (1.08) 22.6 (0.76)

Appearance focus 22.4 (1.07) 26.1 (1.06) 24.3 (0.75)

Total 22.1 (0.75) 24.8 (0.76) 23.5 (0.53)

Boys

Distracter 19.6 (1.11) 21.3 (1.13) 20.5 (0.79)

Appearance focus 19.0 (1.15) 21.4 (1.07) 20.2 (0.79)

Total 19.3 (0.80) 21.4 (0.78) 20.3 (0.56)

Combined

Distracter 20.7 (0.77) 22.5 (0.78) 21.6 (0.55)

Appearance focus 20.7 (0.78) 23.8 (0.75) 22.2 (0.54)

Total 20.7 (0.55) 23.1 (0.54) 21.9 (0.39)

D.A. Hargreaves, M. Tiggemann / Body Image 1 (2004) 351–361356

variable (average of happy, worried, confident, angry).

The results of a 2 (Gender) � 2 (Commercial
condition) � 2 (Instructional set) ANCOVA (control-
ling for the pre-commercial variable) show that girls

(M = 23.5) reported greater negative mood than boys

(M = 20.3), F(1, 586) = 16.46, p < 0.001, eta2 = 0.03, and that girls and boys in the ideal appearance

condition reported significantly greater negative mood

(M = 23.1) than girls and boys in the non-appearance

condition (M = 20.7), F(1, 586) = 9.98, p < 0.01, eta

2
= 0.02. There were no further significant effects,

Fs < 1.50.

The effect of television commercials on girls’ and

boys’ appearance comparison

The processing measure of appearance comparison

was assessed only after commercial exposure. Mean

appearance comparison scores for girls and boys are

presented in Table 3. A 2 (Gender) � 2 (Commercial
condition) � 2 (Instructional set) ANOVA revealed a
main effect of gender whereby, irrespective of

experimental condition, girls engaged in greater

appearance comparison (M = 2.51, SD = 1.70) than

boys (M = 2.07, SD = 1.35), F(1, 583) = 14.38,

p < .001, eta2 = 0.02. There was also a significant main effect of commercial condition whereby

participants in the ideal appearance condition engaged

in greater appearance comparison (M = 2.72) than

participants in the non-appearance condition

Table 3

Mean (standard deviations in parentheses) self-reported state

appearance comparison with commercials by girls and boys

Variable Non-App Ideal Total
Girls

Distracter 1.97 (1.18) 2.99 (1.89) 2.47 (1.64)

Appearance focus 1.87 (1.06) 3.24 (2.04) 2.56 (1.76)

Total 1.92 (1.12) 3.12 (1.97) 2.51 (1.70)

Boys

Distracter 1.66 (1.18) 2.10 (1.20) 1.88 (1.21)

Appearance focus 2.00 (1.41) 2.47 (1.47) 2.25 (1.46)

Total 1.83 (1.31) 2.30 (1.36) 2.07 (1.35)

Combined

Distracter 1.83 (1.18) 2.57 (1.66) 2.19 (1.48)

Appearance focus 1.93 (1.24) 2.86 (1.82) 2.41 (1.63)

Total 1.88 (1.21) 2.72 (1.75) 2.30 (1.56)

(M = 1.88), F(1, 583) = 45.81, p < 0.001, eta2 = 0.07. But the main effects of gender and commercial

condition should be interpreted in light of a significant

Gender � Commercial condition interaction, F(1,
183) = 9.20, p < 0.01, eta2 = 0.02. It can be seen in Table 3 that idealized appearance commercials led to

greater appearance comparison for girls than for boys,

F(1, 296) = 17.39, p < 0.001, eta2 = 0.06, but that girls and boys did not differ in the non-appearance

condition, F(1, 291) < 1, p > 0.05. There was no
significant main effect of instructional set, F(1,

583) = 3.10, p > 0.05, nor significant interaction of
instructional set with either gender or commercial

condition, Fs < 1.27.

Trait social comparison and appearance schematicity

as moderating variables

Appearance schematicity and trait social compar-

ison were highly correlated for both girls, r = 0.68,

p < 0.001, and boys, r = 0.60, p < 0.001. Thus, the two scales were averaged to form a single appearance

investment variable. An independent samples t-test

showed that girls reported greater appearance invest-

ment (M = 2.63, SD = 0.74) than boys (M = 2.33,

SD = 0.63), t(589) = 5.28, p < .001, eta2 = 0.05. As is often done (e.g., Lavin & Cash, 2001) participants

were then divided into tertiles based on their

appearance investment score. Participants in the low

appearance investment group (102 girls and 125 boys)

scored between 1 and 2.24, participants in the medium

group scored (98 girls and 101 boys) between 2.25 and

2.99, and participants in the high investment group

(103 girls and 54 boys) scored between 3.00 and 5.00.

A series of 2 (Gender) � 2 (Commercial con-
dition) � 3 (Appearance investment) ANCOVAs was
conducted to examine the hypothesis that participants

higher on appearance schematicity and trait social

comparison would be most negatively affected by

thin-ideal/muscular-ideal commercials. The results for

body dissatisfaction show a significant main effect of

gender, F(1, 570) = 22.19, p < 0.001, eta2 = 0.04, commercial condition, F(1, 570) = 6.33, p < 0.05, eta

2
= 0.01, and appearance investment, F(2,

570) = 9.07, p < 0.001, eta2 = 0.03, and a significant Gender � Commercial condition interaction, F(2, 570) = 7.65, p < 0.01, eta2 = 0.01. There were no other significant 2-way or 3-way interaction, F(2,

D.A. Hargreaves, M. Tiggemann / Body Image 1 (2004) 351–361 357

570) = 2.27, p > 0.05. A second ANCOVA for mood
showed a significant main effect of gender, F(1,

570) = 10.84, p < 0.001, eta2 = 0.02, and commercial condition, F(1, 570) = 8.09, p < 0.01, eta

2
= 0.01, but

not appearance investment, F(2, 570) = 1.59,

p > 0.05, eta2 = 0.01. No two- or three-way interac-
tion was significant, F(2, 570) < 1.13, p > 0.05.

Lastly, a 2 (Gender) � 2 (Commercial con-
dition) � 3 (Appearance investment) ANOVA was
conducted to examine the moderating role of

appearance investment on the level of appearance

comparison. The results show a significant main effect

of gender, F(1, 567) = 6.36, p < 0.05, eta2 = 0.01, commercial condition, F(1, 567) = 53.32, p < 0.001, eta

2
= 0.09, and appearance investment, F(2,

567) = 50.10, p < 0.001, eta2 = 0.15, and significant two-way interactions between Gender and Commer-

cial condition, F(2, 567) = 6.41, p < 0.05, eta2 = 0.01, and Appearance investment and Commercial condi-

tion, F(2, 567) = 7.24, p < 0.001, eta 2

= 0.03. Fig. 1

shows that participants high on appearance investment

reported greater appearance-related social comparison

with the commercials than participants in the medium

and low appearance investment groups, and that

this effect was larger in the ideal condition, F(2,

Fig. 1. Effect of commercials on appearance comparison for girls

291) = 49.05, p < 0.001, eta2 = 0.25, than in the non- appearance condition, F(2, 282) = 14.86, p < 0.001, eta

2
= 0.10.

Discussion

The present study has replicated the results of

previous research for adolescent girls (Durkin &

Paxton, 2002; Groesz et al., 2002; Hargreaves &

Tiggemann, 2002, 2003; Stice et al., 2001). As

predicted, exposure to thin-ideal commercials led to

significantly greater body dissatisfaction and negative

affect among girls than non-appearance commercials.

Although the effect sizes were only small, the results

are consistent with the conclusion that exposure to

thin-ideal media has a small and reliable negative

effect on girls (Groesz et al., 2002).

But the main purpose of the study was to examine

the effect of idealized images of male attractiveness on

adolescent boys, which has been largely neglected in

previous research. The results show that muscular-

ideal television commercials had only a limited impact

on boys’ body image, and on average, exposure to

muscular-ideal commercials did not lead to increased

and boys low, medium, and high on appearance investment.

D.A. Hargreaves, M. Tiggemann / Body Image 1 (2004) 351–361358

body dissatisfaction. This finding was in contrast to

some previous studies that found a negative impact of

muscular-ideal magazine images on college-aged men

(Grogan et al., 1996; Leit et al., 2002; Ogden &

Mundray, 1996, but see Kalodner, 1997)
2
. It could be

that males do not develop a vulnerability to muscular-

ideal media images until late adolescence or early

adulthood, perhaps due to developmental changes in

the salience of muscularity concerns.

A second important purpose of the study was to

examine the role of social comparison processes for

understanding the media’s impact. While exposure to

thin-ideal and muscular-ideal commercials did lead

to increased appearance comparison, this effect was

stronger for girls. These results suggest that, in

general, girls seem to process self-related appearance

information more deeply and more automatically than

boys. Interestingly, however, it was both girls and boys

high on appearance investment who were most likely

to engage in appearance comparison to the commer-

cials, and to the idealized commercials in particular.

Thus, it is important to recognise the role of both

gender and appearance investment in understanding

the process of social comparison to media images.

Overall the results suggest that the media’s

immediate impact on body image is both stronger

and more normative for girls than boys. This pattern of

results reflects the general pattern of gender differ-

ences in the body image literature (see Levine &

Smolak, 2002a), suggesting that boys’ body image

experiences mirror those of girls but are typically less

prevalent, and when present, less severe. However,

some methodological limitations of the current

research need to be acknowledged. First, the

comparison of the media’s effect on girls’ and boys’

body dissatisfaction is limited by the content of the

experimental stimuli. Because the media’s portrayal of

the thin ideal is likely stronger and more prevalent

than the muscular ideal, it was not possible to perfectly

match the actors in the thin-ideal and muscular-ideal

commercial tapes. Although the difference between

experimental conditions reflects an actual difference

2
Interestingly, the same set of 15 muscular-ideal commercials

led to increased muscle dissatisfaction and decreased self-perceived

‘‘physical attractiveness’’ for college-aged men (Hargreaves &

Tiggemann, submitted for publication). Taken together, the results

suggest males might not develop a vulnerability to muscular-ideal

media images until later adolescence or early adulthood.

in the prevalence of female and male beauty ideals

(Andersen & DiDomenico, 1992), it is possible that

the effect of idealised commercials on boys would be

stronger if the muscular ideal were more salient. As

the media’s portrayal of the muscular ideal becomes

increasingly pervasive (Pope et al., 2001), it is possible

that boys and men will become increasingly vulner-

able to the impact of idealised images on their body

image. Second, the measurement of boys’ body image

remains a challenge. Although some boys are willing

to acknowledge body image concerns, many boys feel

uncomfortable expressing feelings of dissatisfaction

about their appearance (Pope et al., 2000). Thus,

future research with boys should seek to overcome this

social inhibition. Future studies should also use the

revised ASI (Cash, Melnyk, & Hrabosky, 2004),

published after the completion of this study, for an

improved assessment of appearance investment.

The results of the present research converge with

findings of previous correlational and experimental

research to suggest that mass media contribute to the

development of adolescent girls’ body image. Accord-

ingly, attempts to prevent or reduce body dissatisfac-

tion among adolescents might usefully focus on the

role of the mass media. To date, such programs have

typically targeted girls’ body image (for a review, see

Levine & Piran, 2001). Based on the results presented

here, it is not clear that a similar intervention to target

boys’ body image and the portrayal of the male

muscular ideal is needed. It is also not at all clear

whether current strategies used to combat the media’s

impact on girls (for recent reviews see Levine &

Smolak, 2002b; Winzelberg, Abascal, & Taylor, 2002)

are appropriate for boys. As Winzelberg et al. note, ‘‘it

is likely that many of the programs would need

significant modification for boys [or men] to find them

acceptable’’ (p. 494). A modified mode of delivery, as

well as modified content, would be necessary, as many

boys are likely to resist participation making class-

room interventions difficult. Due to this likely

resistance from boys, an important step in designing

an intervention might be to ask boys about the type of

program in which they are willing to participate. For

example, in an attempt to improve the effectiveness of

body image programs for girls, Paxton, Wertheim,

Pilawski, Durkin, and Holt (2002) asked adolescent

girls which messages would be most acceptable (i.e.,

relevant, believable). Similar research with adolescent

D.A. Hargreaves, M. Tiggemann / Body Image 1 (2004) 351–361 359

boys is needed to ensure the development of

intervention programs that boys will find acceptable,

credible, and relevant.

In summary, the present results suggest that

unrealistic ideals of beauty in the media are an

important source of social comparison, and a possible

cause of body dissatisfaction among certain girls and

boys. It remains unclear how these short-lasting

effects might generalize to real world media exposure.

However, as a whole, the results support the usefulness

of social comparison theory, which proposes appear-

ance comparison as an underlying process by which

the media can increase body dissatisfaction, and

appearance schematicity/trait social comparison as

explanations as to why some adolescents are more

vulnerable than others to the media’s immediate

effect. Future investigations of gender differences in

response to media images will contribute to our

growing understanding of the development of ado-

lescent body image.

References

Ackard, D. M., & Peterson, C. B. (2001). Association between

puberty and disordered eating, body image, and other psycho-

logical variables. International Journal of Eating Disorders, 29,

187–194.

Andersen, A. E., & DiDomenico, L. (1992). Diet vs. shape content

of popular male and female magazines: A dose-response rela-

tionship to the incidence of eating disorders? International

Journal of Eating Disorders, 11, 283–287.

Anderson, D. R., Huston, A. C., Schmitt, K. L., Linebarger, D. L., &

Wright, J. C. (2001). Early childhood television viewing and

adolescent behaviour: The recontact study. Monographs of the

Society for Research in Child Development, 66, 1–146.

Botta, R.A. (1999). Television images and adolescent girls’ body

image disturbance. Journal of Communication, 49, 22–41.

Botta, R.A. (2003). For your health? The relationship between

magazine reading and adolescents’ body image and eating

disturbances. Sex Roles, 48, 389–399.

Cash, T. F., & Labarge, A. S. (1996). Development of the appearance

schemas inventory: A new cognitive body image assessment.

Cognitive Therapy and Research, 20, 37–50.

Cash, T. C., Melnyk, S. E., & Hrabosky, J. I. (2004). The assessment

of body image investment: An extensive revision of the

appearance schemas inventory. International Journal of Eating

Disorders, 35, 305–316.

Cattarin, J. A., Thompson, J. K., Thomas, C., & Williams, R. (2000).

Body image, mood, and televised images of attractiveness:

The role of social comparison. Journal of Social and Clinical

Psychology, 19, 220–239.

Cohane, G. H., & Pope, H. G., Jr. (2001). Body image in boys: A

review of the literature. International Journal of Eating Dis-

orders, 29, 373–379.

Durkin, S. J., & Paxton, S. J. (2002). Predictors of vulnerability to

reduced body image satisfaction and psychological wellbeing in

response to exposure to idealized female media images in

adolescent girls. Journal of Psychosomatic Research, 53,

995–1005.

Fallon, A.E. (1990). Culture in the mirror: Sociocultural determi-

nants of body image. In T. F. Cash & T. Pruzinsky (Eds.), Body

images: Development, deviance and change (pp. 80–109). New

York:

Guilford Press.

Feingold, A., & Mazzella, R. (1998). Gender differences in body

image are increasing. Psychological Science, 9, 190–195.

Festinger, L. (1954). A theory of social comparison processes.

Human Relations, 7, 117–140.

Field, A. E., Cheung, L., Wolf, A. M., Herzog, D. B., Gortmaker, S.

L., & Colditz, G. A. (1999). Exposure to mass media and weight

concerns among girls. Pediatrics, 103, e36.

Field, A. E., Colditz, G. A., & Peterson, K. E. (1997). Racial/ethnic

and gender differences in concern with weight and in bulimic

behaviors among adolescents. Obesity Research, 5, 447–454.

Garner, D.M. (1997). The 1997 body image survey results. Psy-

chology Today, 30, 30–44.

Groesz, L. M., Levine, M. P., & Murnen, S. K. (2002). The effect of

experimental presentation of thin media images on body satis-

faction: A meta-analytic review. International Journal of Eating

Disorders, 31, 1–16.

Grogan, S., Williams, Z., & Conner, M. (1996). The effects of

viewing same-gender photographic models on body esteem.

Psychology of Women Quarterly, 20, 569–575.

Hargreaves, D. A., & Tiggemann, M. (2002). The effect of television

commercials on mood and body dissatisfaction: The role of

appearance-schema activation. Journal of Social and Clinical

Psychology, 21, 287–308.

Hargreaves, D. A., & Tiggemann, M. (2003). The effect of ‘thin-

ideal’ television commercials on body dissatisfaction and

schema activation during early adolescence. Journal of Youth

and Adolescence, 32, 367–373.

Hargreaves, D. A., & Tiggemann, M. (submitted for publication).

Muscular ideal media images and men’s body image: Social

comparison processing and individual vulnerability.

Harrison, K. (2000). The body electric: Thin-ideal media and eating

disorders in adolescents. Journal of Communication, 50, 119–

143.

Harrison, K. (2001). Ourselves, our bodies: Thin-ideal media, self-

discrepancies, and eating disorder symptomatology in adoles-

cents. Journal of Social and Clinical Psychology, 20, 289–323.

Heinberg, L.J. (1996). Theories of body image disturbance: Percep-

tual, developmental and sociocultural factors. In J. K. Thompson

(Ed.), Body image, eating disorders and obesity: An integrative

guide for assessment and treatment. Washington, DC: American

Psychological Association.

Heinberg, L. J., & Thompson, J. K. (1995). Body image and

televised images of thinness and attractiveness: A controlled

laboratory investigation. Journal of Social and Clinical Psychol-

ogy, 14, 325–338.

D.A. Hargreaves, M. Tiggemann / Body Image 1 (2004) 351–361360

Hofshire, L. J., & Greenberg, B. S. (2002). Media’s impact on

adolescents’ body dissatisfaction. In J. D. Brown, J. R. Steele &

K. W. Walsh-Childers (Eds.), Sexual teens, sexual media: Inves-

tigating media’s influence on adolescent sexuality. New Jersey:

Erlbaum.

Irving, L.M. (1990). Mirror images: Effects of the standard of beauty

on the self- and body-esteem of women exhibiting varying levels

of bulimic symptoms. Journal of Social and Clinical Psychol-

ogy, 9, 230–242.

Jones, D. (2001). Social comparison and body image: Attractiveness

comparisons to models and peers among adolescent girls and

boys. Sex Roles, 45, 645–664.

Kalodner, C.R. (1997). Media influences on male and female non-

eating disordered college students: A significant issue. Eating

Disorders: The Journal of Treatment and Prevention, 5, 47–57.

Labre, M.P. (2002). Adolescent boys and the muscular male body

ideal. Journal of Adolescent Health, 30, 233–242.

Leit, R. A., Pope, H. G., Jr., & Gray, J. J. (2001). Cultural expecta-

tions of muscularity in men: The evolution of Playgirl center-

folds. International Journal of Eating Disorders, 29, 90–93.

Lavin, M. A., & Cash, T. F. (2001). Effects of exposure to information

about appearance stereotyping and discrimination on women’s

body images. International Journal of Eating Disorders, 29,

51–58.

Levine, M. P., & Piran, N. (2001). The prevention of eating dis-

orders: Towards a participatory ecology of knowledge, action,

and advocacy. In R. Striegel-Moore & L. Smolak (Eds.), Eating

disorders: New directions for research and practice (pp. 233–

253). Washington, DC: American Psychological Association.

Levine, M. P., & Smolak, L. (1996). Media as a context for the

development of disordered eating. In L. Smolak, M. P. Levine &

R. Striegel-Moore (Eds.), The developmental psychopathology

of eating disorders: Implications for research, prevention and

treatment (pp. 233–257). Mahwah, NJ: Lawrence Erlbaum.

Levine, M. P., & Smolak, L. (2002a). Body image development in

adolescence. In T. F. Cash & T. Pruzinsky (Eds.), Body image: A

handbook of theory, research, and clinical practice (pp. 74–82).

New York: Guilford Press.

Levine, M. P., & Smolak, L. (2002b). Ecological and activism

approaches to the prevention of body image problems. In T.

F. Cash & T. Pruzinsky (Eds.), Body image: A handbook of

theory, research, and clinical practice (pp. 497–505). New York:

Guilford Press.

Levine, M. P., Smolak, L., & Hayden, H. (1994). The relation of

sociocultural factors to eating attitudes and behaviours among

middle school girls. Journal of Early Adolescence, 14, 471–490.

Martin, M. C., & Kennedy, P. F. (1993). Advertising and social

comparison: Consequences for female preadolescents and ado-

lescents. Psychology and Marketing, 10, 513–530.

Mazur, A. (1986). US trends in feminine beauty and overadaptation.

Journal of Sex Research, 22, 281–303.

Mishkind, M. E., Rodin, J., Silberstein, L. R., & Striegel-Moore, R.

H. (1986). The embodiment of masculinity: Cultural, psycho-

logical, and behavioural dimensions. American Behavioral

Scientist, 29, 545–562.

Morry, M. M., & Staska, S. L. (2001). Magazine exposure:

Internalization, self-objectification, eating attitudes, and body

satisfaction in male and female university students. Canadian

Journal of Behavioural Science, 33, 269–279.

Muth, J. L., & Cash, T. F. (1997). Body-image attitudes: What

difference does gender make? Journal of Applied Social Psy-

chology, 27, 1438–1452.

Ogden, J., & Mundray, K. (1996). The effect of the media on body

satisfaction: The role of gender and size. European Eating

Disorders Review, 4, 171–182.

Olivardia, R. (2002). Body image and muscularity. In T. F. Cash & T.

Pruzinsky (Eds.), Body image: A handbook of theory, research,

and clinical practice (pp. 210–218). New York: Guilford Press.

Paxton, S. J., Wertheim, E. H., Pilawski, A., Durkin, S., & Holt, T.

(2002). Evaluations of dieting prevention messages by adoles-

cent girls. Preventive Medicine, 35, 474–491.

Pope, H. G., Jr., Olivardia, R., Borowiecki, J. J., III, & Cohane, G. H.

(2001). The growing commercial value of the male body: A

longitudinal survey of advertising in women’s magazines. Psy-

chotherapy and Psychosomatics, 70, 189–192.

Pope, H. G., Phillips, K. A., & Olivardia, R. (2000). The Adonis

complex: The secret crisis of male body obsession. New York:

Free Press.

Raphael, F. J., & Lacey, J. H. (1992). Sociocultural aspects of eating

disorders. Annals of Medicine, 24, 293–296.

Ricciardelli, L. A., & McCabe, M. P. (2001). Children’s body image

concerns and eating disturbance: A review of the literature.

Clinical Psychology Review, 21, 325–344.

Richins, M.L. (1991). Social comparison and the idealized images of

advertising. Journal of Consumer Research, 18, 71–83.

Rodin, J., Silberstein, L. R., & Striegel-Moore, R. H. (1984). Women

and weight: A normative discontent. In T. B. Sonderegger (Ed.),

Psychology and gender: Nebraska symposium on motivation

(pp. 267–307). Lincoln: University of Nebraska Press.

Rohlinger, D.A. (2002). Eroticizing men: Cultural influences

on advertising and male objectification. Sex Roles, 46,

61–74.

Rosenblum, G. D., & Lewis, M. (1999). The relations among body

image, physical attractiveness, and body mass in adolescence.

Child Development, 70, 50–64.

Silverstein, B., Perdue, L., Peterson, B., & Kelly, E. (1986). The role

of mass media in promoting a thin standard of bodily attrac-

tiveness for women. International Journal of Eating Disorders,

5, 907–916.

Stice, E., Spangler, D., & Agras, W. S. (2001). Exposure to media-

portrayed thin-ideal images adversely affects vulnerable girls: A

longitudinal experiment. Journal of Social and Clinical Psy-

chology, 20, 270–288.

Suls, J., & Wheeler, L. (2000). Handbook of social comparison:

Theory and research. New York: Klewer/Plenum.

Thomas, K., Ricciardelli, L. A., & Williams, R. J. (2000).

Gender traits and self-concept as indicators of problem eating

and body dissatisfaction among children. Sex Roles, 43, 441–

458.

Thompson, J. K., Heinberg, L. J., & Tantleff, S. T. (1991). The

physical appearance comparison scale (PACS). The Behavior

Therapist, 14, 174.

Tiggemann, M., & McGill, B. (2004). The role of social comparison

in the effect of magazine advertisements on women’s mood and

D.A. Hargreaves, M. Tiggemann / Body Image 1 (2004) 351–361 361

body dissatisfaction. Journal of Social and Clinical Psychology,

23, 23–44.

van den Berg, P., Thompson, J. K., Obremski-Brandon, K., &

Coovert, M. (2002). The tripartite influence model of body

image and eating disturbance: A covariance structure modeling

investigation testing the mediational role of appearance

comparison. Journal of Psychosomatic Research, 53, 1107–

1120.

Westmoreland Corson, P., & Andersen, A. E. (2002). Body image

issues among boys and men. In T. F. Cash & T. Pruzinsky (Eds.),

Body image: A handbook of theory, research, and clinical

practice (pp. 192–199). New York: Guilford Press.

Winzelberg, A. J., Abascal, L., & Barr Taylor, C. (2002). Psychoe-

ducational approaches to the prevention and change of negative

body image. In T. F. Cash & T. Pruzinsky (Eds.), Body image: A

handbook of theory, research, and clinical practice (pp. 487–

498). New York: Guilford Press.

Wood, J.V. (1989). Theory and research concerning social compar-

isons of personal attributes. Psychological Bulletin, 106, 231–

248.

  • Idealized media images and adolescent body image: �??comparing?? boys and girls
  • Introduction
    Method
    Participants
    Materials
    State mood and body dissatisfaction
    State appearance comparison
    Appearance schematicity
    Trait social comparison
    Experimental manipulation: videotape stimulus
    Experimental manipulation: instructional set
    Results
    The effect of television commercials on girls? and boys? body dissatisfaction
    The effect of television commercials on girls? and boys? state mood
    The effect of television commercials on girls? and boys? appearance comparison
    Trait social comparison and appearance schematicity as moderating variables
    Discussion
    References

O R I G I N A L P A P E R

Parental Influences on Elite Aesthetic Athletes’ Body Image
Dissatisfaction and Disordered Eating

Rita Francisco • Isabel Narciso • Madalena Alarcão

Published online: 10 October 2012

� Springer Science+Business Media New York 2012

Abstract Although different forms of parental influences

on adolescents’ body image and eating disturbances have

been studied, this relationship is nearly uninvestigated

within the population of aesthetic athletes, a risk group for

the development of eating disorders. The present study

examined the role of specific family variables on the body

image dissatisfaction (BID) and disordered eating (DE) of

elite aesthetic athletes (n = 85) and controls (n = 142).

Adolescents (M = 14.87 years, SD = 2.22) completed

measures of direct influences (concern with thinness and

weight teasing by parents), perceived quality of relation-

ship with each parent and the overall family environment,

BID and DE. Participants’ parents (223 mothers and 198

fathers) also completed measures of BID and DE. In gen-

eral, parents of athletes do not present higher levels of BID

or DE than do controls’ parents. Interesting differences

were found between athletes’ and controls’ BID and DE

predictors. Among athletes, direct parental influences are

the only significant predictive family variable, which can

reinforce the pressure to be thin found within elite-aesthetic

contexts. The study’s findings highlight not only the

importance of critical parental comments in athletes’

expression of BID and DE, but also of maternal modeling

among adolescents in the general population. Such parental

behavior may be an appropriate target in different pre-

vention efforts.

Keywords Aesthetic athletes � Parental influences � Body
image dissatisfaction � Disordered eating � Predictors

Introduction

The impact of family influence on the development of body

image and eating disturbances has been identified by several

studies with patients diagnosed with eating disorders (e.g.,

Latzer et al. 2002; Minuchin et al. 1978) as well as with the

general adolescent and young adult population (Vincent and

McCabe 2000; Yanez et al. 2007). The only literature review

to date about parental influence merely includes studies in

the general population (Rodgers and Chabrol 2009) because,

in clinical samples, parents’ behaviors and attitudes regard-

ing weight, eating and body image can be influenced by their

child’s diagnosis or therapeutic interventions. Most of these

studies have been conducted exclusively with female ado-

lescents and their mothers; however, data suggest that both

mothers and fathers are important sources of influence for

their child’s body image and eating habits, regardless of that

child’s gender. Furthermore, this influence may take place

via different mechanisms.

The first mechanism, which has received much atten-

tion, concerns the direct transmission of weight-related

attitudes and opinions from parent to child. Both cross-

sectional and longitudinal studies conducted with preado-

lescents and adolescents show that critical negative com-

ments about eating and weight are predictors of body

image dissatisfaction, weight concerns and disordered

eating (Ata et al. 2007; Kluck 2010; Pike and Rodin 1991;

Smolak et al. 1999; Wertheim et al. 2002). Conversely,

studies have also demonstrated that lower levels of disor-

dered eating are associated with the perception of more

positive messages regarding eating and weight (Gross and

R. Francisco (&) � I. Narciso
Faculty of Psychology, University of Lisbon,

Alameda da Universidade, 1649-013 Lisbon, Portugal

e-mail: rmfrancisco@fp.ul.pt

M. Alarcão

Faculty of Psychology and Education Sciences,

University of Coimbra, Coimbra, Portugal

123

J Child Fam Stud (2013) 22:1082–1091

DOI 10.1007/s10826-012-9670-5

Nelson 2000; Kichler and Crowther 2009). In fact, this

influence can have several long-term effects, not only on

body dissatisfaction and disordered eating but also on self-

esteem and depressive symptoms. These effects have been

shown by some retrospective studies in which undergrad-

uate students reported their experiences about parental

weight-related teasing in childhood and adolescence

(Benas and Gibb 2008; Taylor et al. 2006). Vincent and

McCabe (2000) revealed some specific features of the

influence of each parent on his or her children’s disordered

eating. Specifically, discussion with both parents on topics

related to weight or diet and parental encouragement of

weight loss proved to be predictors of disordered eating

among girls; however, for boys, only maternal encour-

agement predicted weight loss behaviors and binge eating.

Given these differences, future research should include the

participation of both mothers and fathers.

Another important mechanism of parental influence is

modeling of dysfunctional eating attitudes and behaviors.

Several studies with adolescent girls and their parents have

shown significant associations between abnormal eating

attitudes of mothers and daughters (Pike and Rodin 1991;

Vincent and McCabe 2000); however, the same association

does not exist with fathers when they are included (Keel

et al. 1997; Yanez et al. 2007). As it is still unclear whether

parental eating behaviors are associated with dysfunctional

eating behaviors in adolescent boys (Keery et al. 2006;

Vincent and McCabe 2000), the influence of parent gender

on problem eating behaviors needs to be clarified among

both boys and girls.

The final form of parental influence referred to in

existing literature is the quality of family relationships,

primarily overall family environment and relationships

with parents. Family connectedness has been associated

with higher body satisfaction in both boys and girls

(Boutelle et al. 2009; Crespo et al. 2010). Additionally,

several specific aspects of the relationships that adolescents

have with each parent have proven to be rather important.

May et al. (2006) identified different dimensions of

maternal relationships, such as decreased intimacy and

knowledge of children’s daily experiences, as predictors of

weight concerns in young girls. However, the authors

suggested that parent–adolescent conflict is the most

important relationship-quality factor linked to adolescent

weight concerns. Additionally, other studies conducted

only with girls have shown that perceptions of negative

parental relationships are associated with less healthy

dieting and body image, thus highlighting the role of

relationships with both mothers and fathers in the devel-

opment of healthy or disordered eating of adolescent girls

(Archibald et al. 1999; Swarr and Richards 1996).

The world of aesthetic sports—‘‘sports usually thought of

as ‘appearance’ sports in which the sport participant’s

appearance as well as her sport performance is being judged’’

(R. Thompson and Sherman 2010, p. 211), such as dance,

figure skating or gymnastics—is considered a high risk

context for the development of eating disorders among

adolescents (e.g., Byrne and McLean 2002; Francisco et al.

2012; Sundgot-Borgen and Torstveit 2004). The adolescents

who practice elite aesthetic sports are subject to additional

pressures from coaches and are frequent targets of critical

comments pressuring them to be thin and to control weight

and body shape to achieve excellence in performance (Kerr

et al. 2006; Muscat and Long 2008). In fact, many studies

suggest that coaches have a major influence on the body

image and eating behaviors of athletes (Byrne and McLean

2002; Toro et al. 2009). However, the influence of parents on

the body dissatisfaction and disordered eating of their aes-

thetic-athlete children remains unknown. In 2001 (Klump,

Ringham, Marcus, and Kaye), a study on female ballet

dancers showed that dancers had significantly higher levels

of family history of eating disorders than participants in a

control group, reinforcing the need to conduct studies with

athletes that include family variables, as pointed by some

authors (Ringham et al. 2006; Thomas et al. 2005).

To our knowledge, only two other studies examine the

families of athletes in non-aesthetic sports. Of these, only

one evaluated the relationship between eating behaviors of

mothers and athlete daughters, which was conducted with

competitive (but not elite) tennis players and did not show an

association between the eating behaviors of mothers and

their athlete daughters (Harris and Foltz 1999). The other,

more recent study found greater body image disturbance and

higher levels of disturbed eating attitudes among female and

male college athletes who reported family climates with low

perceived support and autonomy (Blackmer et al. 2011).

In a previous study about individual and relational risk

factors (e.g., self-esteem, social pressure for thinness), we

found direct parental influences (e.g., weight teasing) on

disordered eating among elite aesthetic athletes but not on

that of non-elite aesthetic athletes or participants in the

control group (Francisco et al. 2012). Furthermore, we posit

that the quality of family relations, as well as the way ath-

letes’ parents deal with their own body image and eating,

may influence athletes’ perception of messages transmitted

in these high-risk contexts, and the impact of these mes-

sages on body image dissatisfaction and eating behaviors.

The purpose of the present study was to explore the role of

specific family variables in elite aesthetic athletes’ body

image dissatisfaction and disordered eating. We evaluate

body image dissatisfaction and disordered eating patterns of

each parent as well as the adolescent. We also assess ado-

lescents’ perceptions of other family variables: parent con-

cern with their child’s thinness and parental weight teasing,

the perceived quality of maternal/paternal relationships, and

the perceived quality of family environment. Because

J Child Fam Stud (2013) 22:1082–1091 1083

123

previous research was mainly developed with adolescents

from the general population, four different objectives were

identified within this study: (1) to examine differences

between elite aesthetic athletes and controls in body image

dissatisfaction, disordered eating and family variables; (2) to

examine the correlations between parental and adolescents

variables in populations of elite aesthetic athletes and control

participants; (3) to investigate different possible family-

oriented predictors of body image dissatisfaction and dis-

ordered eating for elite aesthetic athletes and controls; and

(4) to examine differences in family characteristics of both

the elite aesthetic athletes and controls, with and without

clinical indication of disordered eating.

Method

Participants

The study involves 227 adolescents of both sexes—85 ath-

letes (M = 15.35 years, SD = 2.73; 70.6 % females) and

142 controls (M = 14.58 years, SD = 1.81; 57.7 %

females)—and their parents (223 mothers, M = 44.71 years,

SD = 5.34; 198 fathers, M = 47.25 years, SD = 6.43). The

elite aesthetic athletes are gymnasts participating in interna-

tional competitions (n = 44; 63.6 % females) and profes-

sional dance students (n = 41; 78 % females).

The majority of participants (79.3 %) come from intact

nuclear families, 11.1 % from single-parent families and

the remainder from other family configurations. The par-

ticipants live in various regions in Portugal, including the

center (48 %), the Lisbon metropolitan area (47.6 %), the

north (3.5 %) and the south (0.9 %). The participants

represent part of a sample from a previous study on pre-

dictive risk factors of disordered eating (Francisco et al.

2012), specifically participants whose parents returned

parent self-report questionnaires (elite athletes’ parents’

response rate 65 %; controls’ parents’ response rate 30 %).

Measures

Measures Completed by

Adolescents

McKnight Risk Factor Survey-IV (MRFS-IV; The

McKnight Investigators 2003) The MRFS-IV is a self-

report questionnaire that assesses potential risk factors for

the development of eating disorders. The Portuguese version

(Francisco et al. 2011) used in the present study consists of 82

items (most of them rated on a 5-point Likert scale, from

‘‘Never’’ to ‘‘Always’’), organized into eight indicators and

nine factors. The ‘‘Parental Influences’’ factor (the only one

of MRFS-IV related to family influences), consisting of four

items—‘‘In the past year, how often has your father (mother)

made a comment to you about your weight or your eating that

made you feel bad?’’ and ‘‘In the past year, how important

has it been to your father (mother) that you be thin?’’—is

used to evaluate the influence of parent concern with thinness

and weight teasing by parents (a = .72).

Perception of Parent–Child Relationships Quality and of

Family Environment Through three items rated on a

5-point Likert scale (from ‘‘Very bad’’ to ‘‘Very well/

good’’), adolescents are questioned about their perception

of the quality of their relationship with each parent—’’How

is your relationship with your father (mother)?’’—and the

quality of their family environment—’’How is your family

environment?’’.

Measures Completed by Both Adolescents and Parents

Contour Drawing Rating Scale (CDRS, Thompson and

Gray 1995) Body image dissatisfaction (BID) was

assessed by the Portuguese version of CDRS (Francisco

et al., in press), consisting of a sequence of nine silhouettes

ordered from the thinnest to the largest. The participants

choose silhouettes that represent their current and ideal

body size. The discrepancy between these two is an indi-

cator of BID. The CDRS has good test–retest reliability

(r = .91) and construct validity (r = .65 with weight;

r = .72 with BMI) among both adolescents and adults.

Eating Disorder Examination-Questionnaire (EDE-Q,

Fairburn and Beglin 1994) The level of disordered eating

(DE), understood in a continuum, was evaluated using the

Portuguese version of the 5th edition of EDE-Q (Machado

and Martins 2010). This is a self-report questionnaire of 28

items grouped into four subscales (‘‘Restraint’’, a = .87;
‘‘Shape Concern’’, a = .91; ‘‘Eating Concern’’, a = .86;
and ‘‘Weight Concern’’, a = .82), the average of which
constitutes a global score (a = .95). The items are rated on a
7-point Likert scale (from ‘‘None’’/’’Nothing’’ to ‘‘Every-

day’’/’’Extremely’’). In the current study, the EDE-Q showed

good psychometric properties with greater internal consis-

tency values in the sample of adolescents than in the sample

of parents [Global Score (adolescents a = .92; parents
a = .83), Restraint (adolescents a = .81; parents a = .75),
Shape Concern (adolescents a = .91; parents a = .86),
Eating Concern (adolescents a = .77; parents a = .68) and
Weight Concern (adolescents a = .84; parents a = .75)].

Procedure

All participants completed an informed consent process

before answering the surveys. In order for adolescents to

participate, authorization was sought from their parents/

guardians. The main researcher delivered athlete surveys to

1084 J Child Fam Stud (2013) 22:1082–1091

123

the dance teachers/gymnastics coaches, who in turn handed

the surveys to their students/gymnasts. Most athletes

completed the surveys at home. The surveys were later

returned in sealed envelopes with no identifying informa-

tion, thus preserving anonymity. All adolescents in the

control group completed the surveys during normal classes

at their schools in the presence of the main researcher. All

parents received their surveys (with a code matching that of

their child) via their children, who, in turn, returned them

to the research group a week later in a sealed envelope.

Permission to conduct the study was provided by the

Ministries of Science (FCT) and of Education.

Statistical Analyses

Statistical analyses were conducted using SPSS 18.0. We

used the Kruskal–Wallis test to compare athletes and

controls on all study variables, given the small sample size

of male athletes (n \ 30). Chi-square test examined cate-
gorical frequencies, and the relationships between the

variables were investigated using Spearman correlations.

Separate multiple regressions were used to investigate

which parental and family variables predict adolescents’

BID and DE for athletes and controls. For each of the

dependent variables (BID and DE), we previously con-

ducted three separate analyses for each set of variables

(mother, father, and family) to better select the predictors to

include in the final models and to assure at least 10 par-

ticipants per predictor (Field 2009). In all three sets, ado-

lescent individual variables—sex and BMI—were included

in Step 1 given the strong relationships established between

females and DE and between high BMI and DE in existing

literature (e.g., Field et al. 2001). The first set included mothers’

BID and EDE-Q subscales; the second included fathers’

BID and EDE-Q subscales; and the last included parental

influences, perception of paternal relationship, of maternal

relationship, and of the family environment. Those predic-

tors which were significant (p \ .05) or near significant
(p \ .10) for each dependent variable of athletes or controls
were then culled from these preliminary regressions and

used in the final multivariate models.

Results

Descriptive Statistics and Differences Between

Athletes

and

Controls

Table 1 presents the descriptive statistics of all variables

and the results of mean comparisons between athletes and

controls (separated by sex) and between respective

parents.

Male athletes and controls showed no significant differ-

ences in any of the variables. Female athletes reported lower

BMI and higher levels of restraint and eating concern (two

subscales of EDE-Q) than did controls. Regarding adoles-

cents’ parents, there were no significant differences in any

variable between the mothers of athletes and controls,

regardless of gender, or between the fathers of female ath-

letes and the fathers of female controls. However, there were

some differences between fathers of male athletes versus

controls: the fathers of male athletes reported significantly

higher BMI than did those of controls as well as higher levels

of BID, shape concern and EDE-Q global score.

Correlations

Table 2 presents correlations between the variables

answered by adolescents, separated by athletes and con-

trols. In addition to the expected moderate-to-strong cor-

relations between BID and DE, where the correlations were

stronger for athletes than for controls, there were important

family-variable correlations to note. While there was no

significant correlation between parental influences and

BMI of athlete participants, there was a significant rela-

tionship between these variables for the controls. However,

parental influences were more strongly correlated to the

BID and DE of athletes than to those of controls. With

regard to athletes’ perception of family relationships, the

maternal relationship did not present significant correla-

tions with the BID or DE of either athletes or controls;

interestingly, the paternal relationship presented a weak but

significant correlation with the DE of both groups of ado-

lescents. Finally, the quality of family environment was

associated with parental influences reported by athletes but

not with those reported by the controls. However, the

reverse was true for DE such that the perception of family

environment significantly correlated with the DE of con-

trols only but not with athletes’ DE.

Parental influences reported by children (athletes or

controls) did not correlated with any of the parental vari-

ables indicative of BID or DE (Table 3). All significant

correlations of adolescents’ BID and DE with parental

variables were weak (r \ .30). Among the athletes, fathers’
eating concern alone was significantly correlated with

children’s DE. Among the controls, only maternal variables

were correlated with the BID and DE of their children—

shape concern, weight concern and EDE-Q global score—

with correlation with DE being stronger than with BID.

Body Image Dissatisfaction and Disordered Eating

Family Predictors

Tables 4 and 5 show the final regression models in both

samples, for BID and DE, respectively. Regarding athletes’

BID, sex, BMI and parental influences were significant pre-

dictors, accounting for 41 % of the variance; maternal

J Child Fam Stud (2013) 22:1082–1091 1085

123

variables were not significant predictors. For controls’ BID,

only sex and BMI were significant contributors, explaining

merely 26 % of the variance. For athletes’ DE, sex, BMI and

parental influences were the only predictors, accounting for

42 % of the variance. In the controls’ DE model, the variables

significant in the athletes’ model, as well as perceived family

environment, mothers’ eating concern and mothers’ weight

concern, in total explained 49 % of the variance in DE.

Family Characteristics of the Group with Clinical

Indication of DE

Taking into account the clinical indication of DE (EDE-Q

subscales or global score C3.5; Machado and Martins

2010), we compared the family variables’ scores of those

adolescents who score above the EDE-Q cut-off (n = 37;

17 athletes and 20 controls) with those of sub-cut-off

adolescents. Because these adolescents included only six

males, and given that the clinical indication of DE has not

proven to be associated with belonging to the athletes or

control group [v2(1) = 1.46, p = .265], we aggregated all
participants with EDE-Q scores above the clinical cut-off,

regardless of sex or study condition, and compared their

analyses with all other adolescents who scored below

EDE-Q cut-off.

Adolescents with a clinical indication of DE reported

significantly higher levels of parental influences (M = 1.64,

SD = 0.67 vs. M = 1.19, SD = 0.38; U = 1796.00,

Table 1 Descriptive statistics and mean comparisons (N = 227)

Range Girls (n = 142) Boys (n = 85)

Athletes

(n = 60)

Controls

(n = 82)

U p Athletes

(n = 25)

Controls
(n = 60)

U p

Adolescents

Age (years) 15.05 (2.40) 14.51 (1.81) 2193.50 – 16.08 (3.33) 14.68 (1.81) 596.00 –

BMI 18.66 (2.17) 19.79 (2.62) 1925.50 \.05 20.96 (3.21) 20.54 (3.42) 634.00 –
Parental influences 1 to 5 1.42 (0.59) 1.21 (0.41) 2068.50 – 1.16 (0.36) 1.18 (0.34) 641.50 –

Maternal relationship 1 to 5 4.63 (0.54) 4.66 (0.62) 2234.50 – 4.71 (0.47) 4.56 (0.74) 707.50 –

Paternal relationship 1 to 5 4.50 (0.65) 4.34 (0.88) 2232.00 – 4.64 (0.63) 4.37 (0.73) 628.50 –

Family environment 1 to 5 4.47 (0.60) 4.38 (0.72) 2356.50 – 4.50 (0.86) 4.24 (0.80) 712.50 –

Body image

dissatisfaction

-8 to 8 -0.55 (1.25) -0.61 (1.34) 2425.50 – -0.21 (0.89) -0.07 (1.17) 729.00 –

Restraint 0 to 7 1.33 (1.33) 0.78 (1.18) 1861.50 \.01 0.47 (0.67) 0.36 (0.83) 626.50 –
Shape concern 0 to 7 1.81 (1.65) 1.46 (1.36) 2365.50 – 0.67 (0.98) 0.77 (1.05) 729.50 –

Eating concern 0 to 7 0.97 (1.24) 0.46 (0.68) 2042.00 \.05 0.13 (0.23) 0.25 (0.48) 742.50 –
Weight concern 0 to 7 1.97 (1.80) 1.59 (1.56) 2264.50 – 0.45 (0.81) 0.59 (0.95) 743.50 –

EDE-Q global score 0 to 7 1.52 (1.41) 1.07 (1.09) 2135.50 – 0.43 (0.56) 0.49 (0.73) 721.50 –

Mothers

BMI 23.27 (3.68) 23.94 (3.84) 1893.50 – 24.78 (7.14) 24.53 (4.45) 525.50 –

Body image
dissatisfaction

-8 to 8 -1.50 (1.31) -1.14 (1.34) 2015.00 – -1.64 (2.02) -1.49 (1.40) 557.50 –

Restraint 0 to 7 0.54 (0.92) 0.73 (0.97) 2154.50 – 0.96 (1.60) 1.05 (1.43) 624.50 –

Shape concern 0 to 7 1.16 (1.24) 1.22 (1.12) 2044.50 – 1.25 (1.87) 1.24 (1.39) 667.00 –

Eating concern 0 to 7 0.26 (0.61) 0.22 (0.50) 2291.00 – 0.46 (1.04) 0.13 (0.37) 623.50 –

Weight concern 0 to 7 1.22 (1.32) 1.15 (1.14) 2004.50 – 1.30 (1.79) 1.26 (1.33) 666.00 –

EDE-Q global score 0 to 7 0.79 (0.89) 0.83 (0.78) 1909.00 – 0.99 (1.49) 0.92 (1.01) 657.50 –

Fathers

BMI 26.58 (3.83) 26.76 (3.38) 1705.50 – 28.28 (4.38) 26.80 (4.12) 339.50 \.05
Body image

dissatisfaction

-8 to 8 -1.24 (0.94) -0.83 (1.11) 1654.00 – -1.50 (1.09) -0.93 (0.91) 362.00 \.05

Restraint 0 to 7 0.67 (0.98) 0.61 (1.17) 1844.50 – 0.54 (1.02) 0.37 (0.75) 462.00 –

Shape concern 0 to 7 1.06 (1.25) 0.71 (1.13) 1676.00 – 0.96 (0.94) 0.58 (0.97) 377.50 \.05
Eating concern 0 to 7 0.24 (0.43) 0.23 (0.65) 1932.00 – 0.10 (0.28) 0.07 (0.21) 526.00 –

Weight concern 0 to 7 1.09 (1.40) 0.89 (1.41) 1841.00 – 0.93 (0.94) 0.67 (1.04) 381.00 –

EDE-Q global score 0 to 7 0.76 (0.86) 0.61 (0.94) 1733.00 – 0.63 (0.53) 0.42 (0.65) 305.00 \.01

1086 J Child Fam Stud (2013) 22:1082–1091

123

p \ .001), perceived lower quality in their paternal rela-
tionship (M = 3.86, SD = 0.99 vs. M = 4.51, SD = 0.68;

U = 2357.00, p \ .01), lower quality in their maternal

relationship (M = 4.14, SD = 0.94 vs. M = 4.70, SD =

0.52; U = 2583.50, p \ .01) and lower quality in family
environment (M = 3.82, SD = 1.01 vs. M = 4.44,

Table 2 Spearman correlations between adolescent variables, for athletes and controls

Athletes (n = 85) Controls (n = 142)

1 2 3 4 5 6 7 8

Sex
a

– -.17* .08 .03 -.07 .10 -.13 .37**

BMI -.23* – .28** -.03 -.12 -.24** -.48** .24**

Parental influences .08 .00 – .52** -.14 -.13 -.22* .37**

Maternal relationship -.01 -.22 -.12 – .51** .52** -.01 -.14

Paternal relationship -.14 -.17 -.20 .68** – .63** .07 -.25**

Family environment .03 -.30** -.24* .62** .55** – .10 -.25**

Body image dissatisfaction -.18 -.50** -.24* .07 .19 .14 – -.44**

Disordered eating .35** .26* .45** -.13 -.25* -.21 -.69** –

Athletes’ correlations appear below the diagonal, and controls’ correlations appear above the diagonal;
a

sex of adolescent (boys = 0, girls = 1);

** p \ .01; * p \ .05

Table 3 Spearman correlations between parental (BID and EDE-Q subscales) and athletes and controls’ variables (parental influences, BID and
DE)

Variables Athletes (n = 85) Controls (n = 142)

Parental influences BID DE Parental influences BID DE

Mother’s BID .07 .10 -.06 -.07 .04 -.04

Mother’s restraint .09 -.03 -.03 .13 -.04 .09

Mother’s shape concern .06 .02 -.01 .08 -.19* .27**

Mother’s eating concern .01 .10 -.02 .12 -.02 .13

Mother’s weight concern .14 -.04 .05 .05 -.20* .26*

Mother’s EDE-Q global score .05 .01 -.00 .10 -.17* .29**

Father’s BID -.03 .22 -.07 -.09 .03 -.02

Father’s restraint -.07 -.21 .20 .14 -.10 .12

Father’s shape concern -.01 -.20 .12 .09 .03 .11

Father’s eating concern -.00 -.15 .25* -.04 .03 .09

Father’s weight concern -.05 -.20 .16 -.03 .02 .09

Father’s EDE-Q global score -.06 -.23 .17 .02 -.02 .11

BID body image dissatisfaction, DE disordered eating; * p \ .05; ** p \ .01

Table 4 Summary of multiple linear regression analyses for variables predicting athletes’ and controls’ body image dissatisfaction

Variable Athletes Controls

B SE B b B SE B b

Sex
a

-0.86 0.27 -.33** -0.57 0.21 -.22**

BMI -0.28 0.05 -.61*** -0.18 0.04 -.41***

Parental influences -0.44 0.20 -.22* -0.24 0.24 -.08

Mother’ body image dissatisfaction -0.03 0.10 -.03 -0.15 0.09 -.17

Mother’ restraint -0.27 0.14 -.25 0.04 0.11 .04

Mother’ weight concern 0.18 0.12 .21 -0.21 0.12 -.20

R
2

.41 .26

F 7.64*** 7.01***

a
Sex of adolescent (boys = 0, girls = 1); *** p \ .001; ** p \ .01; * p \ .05

J Child Fam Stud (2013) 22:1082–1091 1087

123

SD = 0.64; U = 2664.00, p \ .01). Additionally, the par-
ents of these adolescents revealed some differences on their

own EDE-Q scores when compared with the parents of the

adolescents below clinical levels of DE symptoms. Mothers

were more concerned about their own body shape

(M = 1.65, SD = 1.19 vs. M = 1.17, SD = 1.29; U =

2368.50, p \ .05) and weight (M = 1.53, SD = 1.23 vs.
M = 1.15, SD = 1.28; U = 2606.00, p \ .05), while
fathers had higher levels of restraint (M = 0.99, SD = 1.27

vs. M = 0.48, SD = 0.95; U = 1883.00, p \ .01), weight
concern (M = 1.48, SD = 1.70 vs. M = 0.75, SD = 1.16;

U = 1736.50, p \ .05) and EDE-Q global score (M = 0.95,
SD = 1.05 vs. M = 0.52, SD = 0.76; U = 1655.00,

p \ .05).

Discussion

Our study sought to focus on the influences of several

family variables—particularly related to the mothers and

fathers of adolescents—in the body image dissatisfaction

and disordered eating of elite aesthetic athletes, compared

with a control group of non-athlete adolescents and their

parents.

Related to the first objective of our study, adolescents’

individual variables showed the expected differences

according to the literature (e.g., Byrne and McLean 2002),

with female athletes presenting lower BMI and higher

levels of two indicators of disordered eating (restraint and

eating concern) compared with the controls. However, we

also expected to find global levels of disordered eating that

were significantly higher, as demonstrated in a previous

study in which these same adolescents participated (Fran-

cisco et al. 2012). Because the mean values of disordered

eating are lower than expected in this study, we propose

two possible explanations for this fact: (1) adolescents with

higher levels of disordered eating may have been less ready

to seek cooperation from parents to participate in the study

because the subject of the investigation could trigger

weight- and/or eating-related conversations with their

parents (a behavior that the literature shows people with

disordered eating generally avoid); or (2) parents of ado-

lescents with higher levels of disordered eating may have

refused to participate, possibly because they also had

unhealthy eating behaviors and attitudes. However, the

absence of significant differences in body image dissatis-

faction and disordered eating indicators of the mothers of

participants of either gender and the fathers of female

participants do not support the results of the only known

study comparing aesthetic athletes with the controls

(Klump et al. 2001). Given that different measures were

used by Klump et al. (2001), future studies should be

conducted to clarify whether there are significant differ-

ences between parents of elite aesthetic athletes and those

of adolescents in general. For variables concerning family

relationships, there were no significant differences between

athletes and controls (either for boys or girls). Thus, we can

assume that the quality of family environment and parental

relationships, as well as parental influences on weight and

body image, are perceived similarly by athlete and control

adolescents.

Nevertheless, in the context of our second objective for

this study, we found different associations between family

variables and body image dissatisfaction and disordered

eating for athletes than we did for the controls. The sig-

nificant correlation between parental influences and BMI

among controls, but not in the athletes, reinforces the idea

that the critical comments received by elite athletes do not

depend on their BMI, as well as social influence in general

(Francisco et al. 2012). Instead, the critical comments

received by elite aesthetic athletes are an element of the

aesthetic sports subculture, and the parents also seem to

follow this same subculture. The strength of the correla-

tions between parental influences and body image dissat-

isfaction and disordered eating in athletes (more so than for

controls) points to the importance of studying the family

Table 5 Summary of multiple linear regression analyses for variables predicting athletes’ and controls’ disordered eating

Variable Athletes Controls
B SE B b B SE B b
Sex
a

1.07 0.28 .38*** 0.82 0.14 .38***

BMI 0.17 0.05 .34** 0.06 0.02 .16*

Parental influences 1.01 0.22 .43*** 0.97 0.16 .42***

Family environment -0.13 0.20 -.07 -0.25 0.09 -.18**

Mother’ eating concern -0.05 0.26 -.02 -0.53 0.18 -.24**

Mother’ weight concern -0.05 0.12 -.05 0.26 0.07 .31***

R
2

.42 .49

F 7.97*** 20.57***

a
Sex of adolescent (boys = 0, girls = 1); *** p \ .001; ** p \ .01; * p \ .05

1088 J Child Fam Stud (2013) 22:1082–1091

123

contexts of aesthetic elite athletes, who are already a group

at increased risk for the development of body image and

eating disturbances. Moreover, given the absence of sig-

nificant correlations between parental influences and par-

ents’ body image dissatisfaction or disordered eating, we

suggest that perhaps parents are not motivated by their own

personal concerns. Rather, we believe that parental influ-

ences may be a reflection of socio-cultural pressures: par-

ents are simply a conduit for reinforcing thinness as the

standard of beauty.

To address to our third objective, we examined multiple

regression models for both athletes and the controls. Dif-

ferent family factors predicted body image dissatisfaction

and disordered eating for athletes and the controls. As

expected, based on existing literature (e.g., Field et al.

2001; Francisco et al. 2012), adolescents’ sex and BMI

were significant predictors of either body image dissatis-

faction or disordered eating for both athletes and the con-

trols. In addition to these two individual predictors,

parental influences emerged as the only family variable that

predicted athletes’ body image dissatisfaction and disor-

dered eating, especially for disordered eating. We believe it

is necessary to alert parents in the elite aesthetic sports

community to the influence of their comments and values

on their athlete children because these comments can

strengthen the concerns of adolescents and others in the

social contexts of the adolescent’s sport (i.e., peers and

coaches). Ideally, parents would be integrated into pre-

ventive actions within the context and communities of

aesthetic elite sports. It is essential that the family system

provides conditions that balance the demands of thinness

within the community of these sports. In relation to control

adolescents, parental influences were not predictive of

body image dissatisfaction or any other family variable.

However, for disordered eating in the control group, a

larger number of family variables emerged as predictors.

Apart from parental influences, consistent with Field et al.

study (2001), eating and weight concern of mothers–con-

firming the influence of maternal modeling pointed by

other authors (e.g., Pike and Rodin 1991)–and the negative

perception of the quality of family environment proved to

be important predictors, as opposed to the quality of the

specific relationship with each parent. Thus, family envi-

ronment should be taken into account in the future to

explore the specific features that make this variable a

predictor of disordered or healthy eating behaviors.

Finally, our fourth objective has led us to investigate the

differences on family variables between adolescents who

scored above and below the EDE-Q cut-off. Our results

agree with the literature that investigates family charac-

teristics associated with disordered eating: adolescents at

higher clinical risk did perceive lower quality in their

relationships with both parents, as well as within the family

environment overall (Archibald et al. 1999; Blackmer et al.

2011; Crespo et al. 2010), and their parents endorsed more

weight teasing and concern with their child’s thinness (Ata

et al. 2007; Smolak et al. 1999). In addition, the differences

between in parent–child relationships coincides with the

findings of Pike and Rodin (1991), who found associations

between mothers’ and daughters’ disordered eating

behaviors, but not between those of father and daughter

(Keel et al. 1997; Yanez et al. 2007). Our data, when

considered in the context of existing literature, suggest the

need to continue studying fathers and their eating behavior,

a theme often neglected in other studies.

In conclusion, as was found by Wertheim et al. (2002),

our data seem to indicate that parental influences have

greater influence when it presents in the form of parent

concern with child thinness and weight teasing rather than

as parental modeling of dieting or body concerns, espe-

cially among athletes. Exposure to many other social

models of eating behavior—from peers, television and, in

the specific case of athletes, coaches—can diminish the

contribution of parents. However, among adolescents in the

general population, maternal modeling still seems to have a

major impact on disordered eating. This finding should be

taken into account in preventive actions, particularly

because healthy food models can also predict healthy eat-

ing behaviors in adolescents.

The present study has several limitations that should be

taken into consideration when interpreting our results.

First, the relatively small sample size of adolescent athletes

presents challenges, especially for carrying out multiple

regressions. These regressions are potentially unstable and

thus preliminary, offered as indicators for future research,

which should also seek to test these models in different

samples of male and female athletes. The cross-sectional

design represents another limitation because it does not

allow for causal inferences to be made with regard to the

influence of family variables in the development of ado-

lescents’ body image dissatisfaction and disordered eating.

Longitudinal studies are needed for a proper exploration of

this influence. Despite these limitations, this study has

strengths and makes important contributions to the litera-

ture. To our knowledge, it is the first time a characteriza-

tion of the family influences on body image dissatisfaction

and disordered eating has been conducted with both female

and male aesthetic athletes, also including both mothers

and fathers. Thus, being considered an exploratory study,

this study has enabled the identification of several specific

and relevant aspects of elite aesthetic athletes’ families to

be considered more rigorously in future studies.

Acknowledgments This work was funded by a Ph.D. Grant awar-
ded to the first author by the Fundação para a Ciência e a Tecnologia,

Portugal (SFRH/BD/27472/2006). The authors would like to thank all

J Child Fam Stud (2013) 22:1082–1091 1089

123

the adolescents, parents and heads of school who participated in the

study.

References

Archibald, A. B., Graber, J. A., & Brooks-Gunn, J. (1999).

Associations among parent-adolescent relationships, pubertal

growth, dieting, and body image in young adolescent girls: A

short-term longitudinal study. Journal of Research on Adoles-

cence, 9, 395–415.

Ata, R., Ludden, A., & Lally, M. (2007). The effects of gender and

family, friend, and media influences on eating behaviors and

body image during adolescence. Journal of Youth and Adoles-

cence, 36, 1024–1037. doi:10.1007/s10964-006-9159-x.

Benas, J. S., & Gibb, B. E. (2008). Weight-related teasing,

dysfunctional cognitions, and symptoms of depression and

eating disturbances. Cognitive Therapy and Research, 32,

143–160. doi:10.1007/s10608-006-9030-0.

Blackmer, V., Searight, H. R., & Ratwik, S. H. (2011). The

relationship between eating attitudes, body image and perceived

family-of-origin climate among college athletes. North American

Journal of Psychology, 13, 435–446.

Boutelle, K. N., Eisenberg, M. E., Gregory, M. L., & Neumark-

Sztainer, D. (2009). The reciprocal relationship between parent–

child connectedness and adolescent emotional functioning over

5 years. Journal of Psychosomatic Research, 66, 309–316.

Byrne, S. M., & McLean, N. (2002). Elite athletes: Effects of the

pressure to be thin. Journal of Science and Medicine in Sport, 5,

80–94. doi:10.1016/S1440-2440(02)80029-9.

Crespo, C., Kielpikowski, M., Jose, P., & Pryor, J. (2010). Relation-

ships between family connectedness and body satisfaction: A

longitudinal study of adolescent girls and boys. Journal of Youth

and Adolescence, 39, 1392–1401. doi:10.1007/s10964-009-

9433-9.

Fairburn, C. G., & Beglin, S. J. (1994). Assessment of eating

disorders: Interview or self-report questionnaire? International

Journal of Eating Disorders, 16, 363–370.

Field, A. (2009). Discovering statistics using SPSS (3rd ed.).

Thousand Oaks: SAGE.

Field, A. E., Camargo, C. A., Taylor, C. B., Berkey, C. S., Roberts, S. B.,

& Colditz, G. A. (2001). Peer, parent, and media influences on the

development of weight concerns and frequent dieting among

preadolescent and adolescent girls and boys. Pediatrics, 107,

54–60.

Francisco, R., Alarcão, M., & Narciso, I. (2011). Avaliação de factores

de risco de desenvolvimento de perturbações alimentares:

Desenvolvimento e estudos de validação da versão portuguesa

do McKnight Risk Factor Survey IV. Revista Iberoamericana de

Diagnóstico e Avaliação Psicológica, 32, 143–170.

Francisco, R., Alarcão, M., & Narciso, I. (2012a). Aesthetic sports as

high risk contexts for eating disorders: Young elite dancers and

gymnasts perspectives. The Spanish Journal of Psychology, 15,

265–274. doi:10.5209/rev_SJOP.2012.v15.n1.37333.

Francisco, R., Narciso, I., & Alarcão, M. (2012). Individual and

relational risk factors for the development of eating disorders in

aesthetic athletes and adolescents in general (manuscript

submitted for publication).

Francisco, R., Narciso, I., & Alarcão, M. (in press). (In)Satisfação

com a imagem corporal em adolescentes e adultos portugueses:

Contributo para o processo de validação da Contour Drawing

Rating Scale. Revista Iberoamericana de Diagnóstico e Avaliação

Psicológica.

Gross, R. M., & Nelson, E. S. (2000). Perceptions of parental

messages regarding eating and weight and their impact on

disordered eating. Journal of College Student Psychotherapy, 15,

57–78.

Harris, M. B., & Foltz, S. (1999). Attitudes toward weight and eating

in young women tennis players, their parents, and their coaches.

Eating Disorders, 7, 191–205.

Keel, P. K., Heatherton, T. F., Harnden, J. L., & Hornig, C. D. (1997).

Mothers, fathers, and daughters: Dieting and disordered eating.

Eating Disorders, 5, 216–228. doi:10.1080/10640269708249227.

Keery, H., Eisenberg, M. E., Boutelle, K., Neumark-Sztainer, D., &

Story, M. (2006). Relationships between maternal and adoles-

cent weight-related behaviors and concerns: The role of percep-

tion. Journal of Psychosomatic Research, 61, 105–111. doi:

10.1016/j.jpsychores.2006.01.011.

Kerr, G., Berman, E., & De Souza, M. J. (2006). Disordered eating in

women’s gymnastics: Perspectives of athletes, coaches, parents,

and judges. Journal of Applied Sport Psychology, 18, 28–43. doi:

10.1080/10413200500471301.

Kichler, J. C., & Crowther, J. H. (2009). Young girls’ eating attitudes

and body image dissatisfaction. The Journal of Early Adoles-

cence, 29, 212–232. doi:10.1177/0272431608320121.

Kluck, A. S. (2010). Family influence on disordered eating: The role

of body image dissatisfaction. Body Image, 7, 8–14. doi:

10.1016/j.bodyim.2009.09.009.

Klump, K. L., Ringham, R. M., Marcus, M. D., & Kaye, W. H.

(2001). A family history/family study approach to examining the

nature of eating disorder risk in ballet dancers: Evidence for

gene-environment combinations? Paper presented at the annual

meeting of the Eating Disorders Research Society, Albuquerque.

Latzer, Y., Hochdorf, Z., Bachar, E., & Canetti, L. (2002). Attach-

ment style and family functioning as discriminating factors in

eating disorders. Contemporary Family Therapy, 24, 581–599.

Machado, P., & Martins, C. (2010). Eating Disorder Examination

Questionnaire (EDE-Q): Psychometric properties and norms for

the Portuguese population (in preparation).

May, A. L., Kim, J.-Y., McHale, S. M., & Crouter, A. C. (2006).

Parent-adolescent relationships and the development of weight

concerns from early to late adolescence. International Journal of

Eating Disorders, 39, 729–740. doi:10.1002/eat.20285.

Minuchin, S., Rosman, B. L., & Baker, L. (1978). Psychosomatic

families: Anorexia nervosa in context. Cambridge: Harvard

University Press.

Muscat, A. C., & Long, B. C. (2008). Critical comments about body

shape and weight: Disordered eating of female athletes and sport

participants. Journal of Applied Sport Psychology, 20, 1–24. doi:

10.1080/10413200701784833.

Pike, K. M., & Rodin, J. (1991). Mothers, daughters, and disordered

eating. Journal of Abnormal Psychology, 100, 198–204. doi:

10.1037/0021-843X.100.2.198.

Ringham, R., Klump, K., Kaye, W., Stone, D., Libman, S., Stowe, S.,

et al. (2006). Eating disorder symptomatology among ballet

dancers. International Journal of Eating Disorders, 39, 503–508.

doi:10.1002/eat.20299.

Rodgers, R., & Chabrol, H. (2009). Parental attitudes, body image

disturbance and disordered eating amongst adolescents and

young adults: A review. European Eating Disorders Review, 17,

137–151. doi:10.1002/erv.907.

Smolak, L., Levine, M., & Schermer, F. (1999). Parental input and

weight concerns among elementary school children. Interna-

tional Journal of Eating Disorders, 25, 263–271.

Sundgot-Borgen, J., & Torstveit, M. (2004). Prevalence of eating

disorders in elite athletes is higher than in the general population.

Clinical Journal of Sport Medicine, 14, 25–32. doi:

10.1097/00042752-200401000-00005.

Swarr, A. E., & Richards, M. H. (1996). Longitudinal effects of

adolescent girls’ pubertal development, perceptions of pubertal

timing. Developmental Psychology, 32, 636–646.

1090 J Child Fam Stud (2013) 22:1082–1091

123

http://dx.doi.org/10.1007/s10964-006-9159-x

http://dx.doi.org/10.1007/s10608-006-9030-0

http://dx.doi.org/10.1016/S1440-2440(02)80029-9

http://dx.doi.org/10.1007/s10964-009-9433-9

http://dx.doi.org/10.1007/s10964-009-9433-9

http://dx.doi.org/10.5209/rev_SJOP.2012.v15.n1.37333

http://dx.doi.org/10.1080/10640269708249227

http://dx.doi.org/10.1016/j.jpsychores.2006.01.011

http://dx.doi.org/10.1080/10413200500471301

http://dx.doi.org/10.1177/0272431608320121

http://dx.doi.org/10.1016/j.bodyim.2009.09.009

http://dx.doi.org/10.1002/eat.20285

http://dx.doi.org/10.1080/10413200701784833

http://dx.doi.org/10.1037/0021-843X.100.2.198

http://dx.doi.org/10.1002/eat.20299

http://dx.doi.org/10.1002/erv.907

http://dx.doi.org/10.1097/00042752-200401000-00005

Taylor, C. B., Bryson, S., Doyle, A. A. C., Luce, K. H., Cunning, D.,

Abascal, L. B., et al. (2006). The adverse effect of negative

comments about weight and shape from family and siblings on

women at high risk for eating disorders. Pediatrics, 118,

731–738. doi:10.1542/peds.2005-1806.

The McKnight Investigators. (2003). Risk factors for the onset of

eating disorders in adolescent girls: Results of the McKnight

longitudinal risk factor study. The American Journal of Psychi-

atry, 160, 248–254.

Thomas, J., Keel, P., & Heatherton, T. (2005). Disordered eating

attitudes and behaviors in ballet students: Examination of

environmental and individual risk factors. International Journal

of Eating Disorders, 38, 263–268. doi:10.1002/eat.20185.

Thompson, M. A., & Gray, J. J. (1995). Development and validation

of a new body-image assessment scale. Journal of Personality

Assessment, 64, 258–269. doi:10.1207/s15327752jpa6402_6.

Thompson, R., & Sherman, R. T. (2010). Eating disorders in sport.

New York: Routledge.

Toro, J., Guerrero, M., Sentis, J., Castro, J., & Puértolas, C. (2009).

Eating disorders in ballet dancing students: Problems and risk

factors. European Eating Disorders Review, 17, 40–49. doi:

10.1002/erv.888.

Vincent, M. A., & McCabe, M. P. (2000). Gender differences among

adolescents in family, and peer influences on body dissatisfac-

tion, weight loss, and binge eating behaviors. Journal of Youth

and Adolescence, 29, 205–221.

Wertheim, E. H., Martin, G., Prior, M., Sanson, A., & Smart, D.

(2002). Parent influences in the transmission of eating and weight

related values and behaviors. Eating Disorders, 10, 321–334.

Yanez, A. M., Peix, M. A., Atserias, N., Arnau, A., & Brug, J. (2007).

Association of eating attitudes between teenage girls and their

parents. International Journal of Social Psychiatry, 53, 507–513.

J Child Fam Stud (2013) 22:1082–1091 1091

123

http://dx.doi.org/10.1542/peds.2005-1806

http://dx.doi.org/10.1002/eat.20185

http://dx.doi.org/10.1207/s15327752jpa6402_6

http://dx.doi.org/10.1002/erv.888

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  • Parental Influences on Elite Aesthetic Athletes’ Body Image Dissatisfaction and Disordered Eating
  • Abstract
    Introduction
    Method
    Participants
    Measures
    Measures Completed by Adolescents
    McKnight Risk Factor Survey-IV (MRFS-IV; The McKnight Investigators 2003)
    Perception of Parent–Child Relationships Quality and of Family Environment
    Measures Completed by Both Adolescents and Parents
    Contour Drawing Rating Scale (CDRS, Thompson and Gray 1995)
    Eating Disorder Examination-Questionnaire (EDE-Q, Fairburn and Beglin 1994)

    Procedure
    Statistical Analyses
    Results
    Descriptive Statistics and Differences Between Athletes and Controls
    Correlations
    Body Image Dissatisfaction and Disordered Eating Family Predictors
    Family Characteristics of the Group with Clinical Indication of DE
    Discussion
    Acknowledgments
    References

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