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. Author manuscript; available in PMC: 2011 Mar 1.
Published in final edited form as: Behav Res Ther. 2009 Oct 24;48(3):187–193. doi: 10.1016/j.brat.2009.10.008

The Significance of Overvaluation of Shape and Weight in Binge Eating Disorder

Andrea B Goldschmidt a, Anja Hilbert b, Jamie L Manwaring a, Denise E Wilfley c, Kathleen M Pike d, Christopher G Fairburn e, Ruth H Striegel-Moore f
PMCID: PMC2829349  NIHMSID: NIHMS154936  PMID: 19897174

Abstract

As publication of DSM-V draws near, research is needed to validate the diagnostic scheme for binge eating disorder (BED). Shape and weight overvaluation has stimulated considerable debate in this regard, given associations with psychosocial impairment and poor treatment outcome in BED. This study sought to further explore the convergent validity and diagnostic specificity of shape and weight overvaluation in BED. A total of 160 women with BED, and 108 women with non-eating disordered psychiatric disorders were recruited from the community. Women with BED were classified as more or less severe based on a global measure of eating-related psychopathology; subsequent receiver operating characteristics analysis determined that a threshold of at least “moderate” overvaluation best predicted membership into a more severe group. BED participants with threshold overvaluation exhibited poorer psychosocial functioning than those with subthreshold overvaluation, as well as participants with other psychiatric disorders. Discriminant function analysis revealed that threshold overvaluation predicted a diagnosis of BED versus other psychiatric disorder with 67.7% accuracy. Results suggest that shape and weight overvaluation is a useful diagnostic specifier in BED. Continued research is warranted to examine its predictive validity in natural course and treatment outcome studies.

Keywords: Binge eating disorder, overvaluation of shape and weight, weight and shape concerns, classification


Binge eating disorder (BED) is currently included in the DSM-IV-TR as a provisional diagnosis requiring further study (American Psychiatric Association, 2000). With the impending publication of DSM-V, several questions regarding the validity of BED and its diagnostic criteria remain (Latner & Clyne, 2008; Wilfley, Bishop, Wilson, & Agras, 2007; Wonderlich, Gordon, Mitchell, Crosby, & Engel, in press). In particular, it has been suggested that overvaluation of shape and weight be included in BED's diagnostic scheme in DSM-V, given evidence that it reliably predicts elevated levels of psychosocial impairment (Grilo et al., 2009; Grilo et al., 2008; Grilo, Masheb, & White, in press; Hrabosky, Masheb, White, & Grilo, 2007; Latner & Clyne, 2008; Mond, Hay, Rodgers, & Owen, 2007). Further research is needed to establish the clinical utility of this construct in adults with BED.

Overvaluation of shape and weight denotes the undue importance of shape and weight in one's scheme for self-evaluation (Fairburn, 2008). According to schema theory (Waller, Ohanian, Meyer, & Osman, 2000) and the cognitive behavioral model of eating disorders (Fairburn, 2008), shape and weight overvaluation refers to higher-order cognitive content reflecting core negative beliefs about the self (e.g., low self-esteem) that may manifest itself through automatic negative thoughts or dysfunctional assumptions regarding shape and weight. In contrast to body dissatisfaction, which may be contingent upon mood or current body size, and shape and weight concerns, which broadly encompass many aspects of shape- and weight-related attitudes, overvaluation of shape and weight represents a stable construct that is resistant to change (P. J. Cooper & Fairburn, 1993; Fairburn, 2008). Indeed, shape and weight overvaluation appears to be more closely related to changes in self-esteem over time, as compared to fluctuations in depressive symptoms (P. J. Cooper & Fairburn, 1993; Masheb & Grilo, 2003), and is at least partially responsible for persistence in bulimic symptoms over time (Fairburn, Stice et al., 2003). Given evidence that it is typically present in individuals with eating disorders, regardless of diagnostic group (Fairburn, Cooper, & Shafran, 2003), and appears to be of critical importance in maintaining these disorders (Fairburn, Peveler, Jones, Hope, & Doll, 1993; Fairburn, Stice et al., 2003), shape and weight overvaluation is considered by some, but not all (Slade, 1982; Waller, 2008), investigators to mark the “core psychopathology” of eating disorders (P. J. Cooper & Fairburn, 1993; Fairburn, 2008; Fairburn & Garner, 1986). As such, shape and weight overvaluation is currently a diagnostic criterion for both AN (i.e., “undue influence of body shape and weight on self-evaluation”) and BN (i.e., “self evaluation [that is] unduly influence by body shape and weight”; American Psychiatric Association, 2000).

While recognized as a feature of BN even before the publication of DSM-III (Russell, 1979), it was not until DSM-III-R that a construct approximating overvaluation of shape and weight (i.e., “persistent overconcern with body shape and weight”) was included as a diagnostic criterion for BN (American Psychiatric Association, 1987). DSM-IV's later refinement of this criterion to the more stringent overvaluation of shape and weight criterion purportedly reflects that the “critical disturbance is the undue influence of body shape and weight on self-esteem” (Walsh, 1992). Indeed, this distinction is supported by evidence that overvaluation of shape and weight discriminates individuals with eating disorders from healthy controls (Goldfein, Walsh, & Midlarsky, 2000; McFarlane, McCabe, Jarry, Olmsted, & Polivy, 2001), whereas body dissatisfaction and shape and weight concerns are less discriminating (Garfinkel et al., 1992; Hadigan & Walsh, 1991).

Although BED is a relatively new diagnostic entity, a great deal of empirical work has already focused on the nature of body image disturbance in BED. Individuals with BED report levels of shape and weight concerns that are commensurate to individuals with AN and BN, and significantly higher than both normal-weight and overweight individuals without eating disorders (Eldredge & Agras, 1996; Masheb & Grilo, 2000; Striegel-Moore et al., 2001; Striegel-Moore, Dohm et al., 2000; Wilfley, Schwartz, Spurrell, & Fairburn, 1997). These findings have stimulated research into the utility of including overvaluation of shape and weight in the diagnostic scheme for BED, either as an individual criterion or as a diagnostic specifier (i.e., a sub-category within a diagnosis that assists with treatment matching and/or prediction of treatment outcome). Several studies have documented that overvaluation of shape and weight among individuals with BED is associated with increased psychosocial impairment, including eating-related and general psychopathology, functional impairments, and decrements in quality of life (Grilo et al., 2009; Grilo et al., 2008; Grilo et al., in press; Hrabosky et al., 2007; Mond et al., 2007), as well as treatment-seeking behavior and poorer treatment response on some measures of outcome (Masheb & Grilo, 2008). Taken together, these findings suggest that overvaluation of shape and weight is a clinically relevant construct associated with elevated impairment and distress in BED.

According to research convention, overvaluation of shape and weight is considered to be clinically significant when shape and weight are at least moderately important in one's scheme for self-evaluation (Fairburn & Cooper, 1993). However, no research to date has validated the use of this threshold value, relative to other threshold values, among individuals with eating disorders. Several studies have demonstrated that individuals with full-syndrome and subclinical eating disorders are indistinguishable on measures of impairment and distress (Crow, Agras, Halmi, Mitchell, & Kraemer, 2002; Fairburn et al., 2007; Striegel-Moore, Dohm et al., 2000; Striegel-Moore, Wilson, Wilfley, Elder, & Brownell, 1998); expounding on these findings, it is possible that even less extreme overvaluation of shape and weight may nevertheless be associated with psychopathology and decrements in quality of life. If shape and weight overvaluation are to be included among BED's diagnostic criteria, it will be necessary to establish a threshold rating on this construct that is clinically meaningful and provides useful diagnostic information.

The purpose of the current study is to further examine the utility of including overvaluation of shape and weight in the diagnostic scheme for BED. Specific aims are to: 1) determine a threshold value of shape and weight overvaluation that is predictive of a more severe psychological profile in BED; 2) compare BED participants with threshold shape and weight overvaluation, BED participants with subthreshold overvaluation, and participants with other psychiatric disorders on measures of psychosocial and interpersonal functioning, and health care usage; and 3) examine how well the threshold value discriminates between women with BED and those with other psychiatric disorders.

Method

Participants

Participants were 268 Caucasian or African-American women (69.8% Caucasian, 30.2% African-American), aged 18-40 (M = 30.61; SD = 6.16). Participants were recruited from Connecticut, the Boston area, New York City, and Los Angeles to participate in the New England Women's Health Project (Striegel-Moore, Wilfley, Pike, Dohm, & Fairburn, 2000), a community-based study examining risk factors for BED. The sample consisted of 160 women diagnosed with BED, and 108 women diagnosed with a psychiatric disorder other than an eating disorder (psychiatric controls; PC). Eight participants (4 from the BED group and 4 from the PC group) did not respond to questionnaire items assessing overvaluation of shape and weight, and thus were excluded from all analyses. The final sample included 156 women with BED, and 104 PC women. For full sample characteristics, see Table 1.

Table 1.

Full sample characteristics and comparisons between women with binge eating disorder and psychiatric controls on demographic variables (M ± SD, unless otherwise indicated)

Variable Full Sample
(N = 260)a
BED
(n = 156)
PC
(n = 104)
Test Statistic for
BED vs. PC
Comparison
Age, y 30.62 ± 6.19 31.04 ± 5.79 30.00 ± 6.73 t (258) = 1.29
Body mass index, kg/m2 31.01 ± 9.48 34.40 ± 9.48 25.96 ± 6.91 t (257) = 8.28*
White 70.4 (183) 62.8 (98) 81.7 (85)
Race, %
(n)
Black 29.6 (77) 37.2 (58) 18.3 (19) χ2(1, N = 260) =
10.71*
Education
level, %
(n)
High school or less 20.4 (53) 19.2 (30) 22.1 (23)
Some college 47.7 (124) 50.0 (78) 44.2 (46) χ2(2, N = 260) =
0.85
College graduate or
higher
31.9 (83) 30.8 (48) 33.7 (35)
*

p ≤ .001

a

Excludes 8 participants missing data on questionnaire items assessing overvaluation of shape and weight

Note: BED = binge eating disorder; PC = psychiatric control

Procedures

Participants were recruited through community and media advertisements, and the use of consumer databases. Individuals interested in participating were administered a brief telephone screen and those who met basic eligibility criteria (i.e., age between 18 and 40; absence of medical conditions influencing eating behavior or body weight; absence of a psychotic disorder; being female, of black or white race, and born in the United States) were invited to complete an in-person assessment. Written informed consent was obtained from all participants. The study was approved by the IRBs at Wesleyan University and Columbia University. Detailed descriptions of recruitment and screening procedures are provided elsewhere (Pike, Dohm, Striegel-Moore, Wilfley, & Fairburn, 2001; Striegel-Moore, Dohm, Pike, Wilfley, & Fairburn, 2002; Striegel-Moore et al., 2005).

Measures

Structured Clinical Interview for DSM-IV Axis I Disorders

All participants were given the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID; First, Spitzer, Gibbon, & Williams, 1997) to ascertain psychiatric diagnoses. The SCID (First et al., 1997) is a well-established semi-structured interview assessing the full range of psychiatric disorders. Presence of a comorbid SCID diagnosis was used as a validator in analyses comparing women with BED reporting threshold and subthreshold overvaluation.

Eating Disorder Examination

Participants meeting diagnostic criteria for BED based on the SCID were given an abbreviated diagnostic version of the Eating Disorder Examination (EDE; Fairburn & Cooper, 1993) to confirm the diagnosis. The EDE is a semi-structured, interviewer-based instrument with established reliability and validity (Z. Cooper, Cooper, & Fairburn, 1989; Grilo, Masheb, Lozano-Blanco, & Barry, 2004; Rizvi, Peterson, Crow, & Agras, 2000; Rosen, Vara, Wendt, & Leitenberg, 1990). EDE items assessing weekly frequency of binge eating episodes (i.e., consumption of an unambiguously large amount of food accompanied by loss of control over eating) and binge eating-related distress over the past six months were used as validators in comparisons of women with BED reporting threshold and subthreshold overvaluation.

Eating Disorder Examination-Questionnaire

For the assessment of eating disorder psychopathology, all participants completed the Eating Disorder Examination-Questionnaire (EDE-Q; Fairburn & Beglin, 1994). The EDE-Q is a self-report questionnaire version of the EDE which generates a global index of eating-related pathology (including items measuring restraint, eating concern, weight concern, and shape concern). The EDE-Q was used to measure the independent variable of shape and weight overvaluation. For each participant, individual items assessing overvaluation of shape and overvaluation of weight (i.e., “Over the past four weeks, how much has your shape/weight influenced how you think about (judge) yourself as a person?”) were averaged to form a composite “overvaluation of shape and weight” item; responses ranged from 0 (not at all) to 6 (markedly). The EDE-Q global severity index was used to derive more and less severe BED groups for the receiver operating characteristics analysis. The EDE-Q subscales have demonstrated adequate internal consistency and retest reliability (Luce & Crowther, 1999; Mond, Hay, Rodgers, Owen, & Beumont, 2004). The measure has also shown convergent validity with the EDE across both eating disordered and non-eating disordered samples in the measurement of eating-related attitudes, although the EDE-Q tends to produce higher ratings across subscales than the EDE (Black & Wilson, 1996; Fairburn & Beglin, 1994; Grilo, Masheb, & Wilson, 2001).

Brief Symptom Inventory

The Brief Symptom Inventory (BSI; Derogatis, 1991) was used to assess general psychiatric functioning. The global severity index was included in validation analyses comparing women with BED exhibiting threshold overvaluation, women with BED exhibiting subthreshold overvaluation, and PCs. Scores on the BSI were converted to T-scores ranging from 0 to 100, with higher scores indicating more severe psychiatric symptoms. The BSI has good internal consistency and is highly correlated with the more lengthy Symptom-Checklist-90-R (SCL-90-R) across measured domains of psychopathology (Derogatis, 1991).

Social Adjustment Scale

The Social Adjustment Scale (SAS; Weissman & Bothwell, 1976) was used as a general measure of social functioning in a broad range of domains (e.g., role performance, interpersonal relationships, social and leisure activities). The SAS total score was included in validation analyses comparing women with BED reporting threshold overvaluation, women with BED reporting subthreshold overvaluation, and PCs. Scores on the SAS range from 0 to 5, with higher scores indicating poorer social functioning. The SAS has good reliability and validity (Goldman, Skodol, & Lave, 1992; Weissman, Prusoff, Thompson, Harding, & Myers, 1978).

Healthcare utilization

Health care utilization was determined by whether participants reported any participation in therapy/counseling in the year prior to assessment. This variable was used as a validator in analyses comparing women with BED endorsing threshold overvaluation, women with BED endorsing subthreshold overvaluation, and PCs.

Statistical Analyses

Preliminary descriptive analyses were conducted using ANOVA and chi-square tests. These analyses included three groups: women with BED exhibiting threshold overvaluation, women with BED exhibiting subthreshold overvaluation, and PCs.

In order to determine a threshold value of shape and weight overvaluation that best predicts higher levels of eating-related psychopathology, women with BED were first categorized as more or less severe using a median split of the EDE-Q global severity index (median = 3.38). Next, the EDE-Q overvaluation of shape and weight composite variable was entered into a receiver operating characteristics (ROC) analysis to determine an optimal value for predicting membership into the more severe group. The purpose of this analysis was to establish a clinically significant threshold of shape and weight overvaluation1.

In order to examine the construct validity of clinical overvaluation of shape and weight, first, a MANCOVA of concurrent variables measuring current psychosocial functioning was conducted. The BSI global severity index and SAS total score were included as dependent variables in the MANCOVA, with group (BED threshold, BED subthreshold, PC) as the independent variable. The model included BMI and race as covariates, given findings that both of these variables are associated with body dissatisfaction in adults (Allaz, Bernstein, Rouget, Archinard, & Morabia, 1998; McLaren & Kuh, 2004; Wildes, Emery, & Simons, 2001). Post-hoc Tukey's honestly significant difference tests were used to examine pairwise differences in the dependent variables.

Several additional statistical tests were conducted for further validation. First, a chi-square test was used to compare the three aforementioned groups (i.e., BED threshold, BED subthreshold, and PC) on the dichotomous dependent variable of healthcare utilization in the year before assessment (i.e., whether participants did or did not participate in therapy/counseling in the previous year). Next, two individual Mann-Whitney U-tests were used to compare women with BED reporting threshold and subthreshold overvaluation on the dependent variables of EDE-measured distress and weekly binge eating frequency. PCs were not included in these analyses since they did not complete the EDE at the baseline assessment visit. Lastly, a separate chi-square test was used to compare women with BED reporting threshold and subthreshold overvaluation on the dependent variable of psychiatric comorbidity (i.e., whether participants received a comorbid SCID diagnosis). PCs were not included in these analyses since all of these participants had a psychiatric diagnosis, and thus their inclusion would have biased test results.

Finally, a discriminant function analysis was performed to determine if the threshold value of shape and weight overvaluation accurately predicts membership into the BED vs. PC group.

Results

Determining a Threshold of Shape and Weight Overvaluation

ROC analysis indicated that in predicting membership into the more severe BED group (i.e., those scoring above the median EDE-Q global severity index score; n = 78), the optimal compromise between sensitivity and specificity was achieved at a score of 4.5 on the overvaluation of shape and weight composite item (sensitivity = 0.82, specificity = 0.69; see Figure 1). This score yielded a positive predictive value of 0.73 (i.e., the proportion of individuals with threshold overvaluation who were classified as belonging to the more severe BED group) and a negative predictive value of 0.79 (i.e., the proportion of individuals with subthreshold overvaluation who were classified as belonging to the less severe BED group). A score of 4.5 indicates that shape and weight are moderately important in one's scheme for self-evaluation.

Figure 1.

Figure 1

Receiver operating characteristics curve. Note: Receiver operating characteristics curve predicting membership to the higher severity binge eating disorder subgroup based upon shape and weight overvaluation mean score.

Construct Validity of Threshold Overvaluation of Shape and Weight

Demographic Variables

Among women with BED, the majority (n = 88 out of 156; 56.4%) endorsed levels of shape and weight overvaluation at or above the threshold value of 4.5. BED subthreshold women were comprised of a significantly greater proportion of African-Americans relative to BED threshold and PC women (χ2(2, N = 260) = 25.07; p < .001). There were also significant group differences in BMI (F(2, 258) = 31.13; p < .001). A post-hoc Tukey's test indicated that BED threshold and subthreshold women had significantly higher BMIs than PCs, but did not significantly differ from one another. The three groups did not differ on age (F(2, 259) = 1.05; p = .35) or education level (χ2(4,N = 260) = 1.45; p = .84). See Table 2 for a full description of demographic characteristics.

Table 2.

Demographic characteristics and psychosocial functioning of women with BED reporting threshold shape and weight overvaluation, women with BED reporting subthreshold shape and weight overvaluation, and psychiatric controls (M ± SD, unless otherwise indicated)

Variable BED subthreshold
overvaluation
(n = 68)
BED threshold
overvaluation
(n = 88)
PC
(n = 104)
Test Statistic
Demographics
Age, y 31.37 ± 6.28 30.78 ± 5.40 30.00 ± 6.73 F(2, 259) = 1.05
Body mass index, kg/m2 35.34 ± 9.82a 33.66 ± 9.19a 25.96 ± 6.91b F(2, 258) = 31.13**
Race, %
(n)
White 47.1 (32/68)a 75.0 (66/88)b 81.7 (85/104)b χ2(2, N = 260) =
25.07**
Black 52.9 (36/68)a 25.0 (22/88)b 18.3 (19/104) b
Education
level, %
(n)
High school or less 22.1 (15/68) 17.0 (15/88) 22.1 (23/104) χ2(4, N = 260) = 1.45
Some college 48.5 (33/68) 51.1 (45/88) 44.2 (46/104)
College graduate or
higher
29.4 (20/68) 31.8 (28/88) 33.7 (35/104)

Psychosocial functioning
Full MANCOVA model --- --- --- F(2, 232) = 13.12**
 BSI global severity index 57.56 ± 10.80a 64.49 ± 8.93b 58.18 ± 10.07a F(2, 236) = 10.05**
 SAS total score 1.97 ± 0.48a 2.27 ± 0.59b 1.90 ± 0.44a F(2, 236) = 10.53 **
Any lifetime comorbid psychiatric
diagnosis, % (n)
66.2 (45/68) 92.0 (81/88) --- χ2(2, N = 156) =
16.53**
Sought therapy/counseling in past
6 months, % (n)
31.7 (19/60)a 51.8 (43/83)b 47.6 (49/103)b χ2(2, N = 246) = 6.14*

Note: BED = binge eating disorder; PC = psychiatric control; BSI = Brief Symptom Inventory (range = 0 to 100; higher scores indicate more severe psychopathology); SAS = Social Adjustment Scale (range = 0 to 5; higher scores indicate lower social functioning). Differing superscript letters indicate significant between-group differences.

Denominator indicates total number of available subjects

*

p < .05

**

p < .001

Current Psychosocial Functioning

The full MANCOVA model comparing BED threshold, BED subthreshold, and PC women on measures of current psychosocial functioning was significant (F(2, 232) = 13.12; p < .001), as were univariate tests for both BSI (F(2, 232) = 10.05; p < .001) and SAS total scores (F(2, 232) = 10.53; p < . 001). Post-hoc Tukey's tests demonstrated that BED threshold women had significantly higher levels of BSI global severity than BED subthreshold (p < .001) and PC women (p < .001), whereas BED subthreshold and PC women did not differ from one another (p = .93). Similarly, post-hoc Tukey's tests for SAS total scores indicated that BED threshold women endorsed higher levels of interpersonal dysfunction than BED subthreshold (p = .002) and PC women (p < .001), while BED subthreshold and PC women did not significantly differ (p = .69).

The chi-square test for healthcare utilization indicated that BED subthreshold women were relatively less likely to have sought therapy or counseling in the year prior to assessment, compared to BED threshold and PC participants (χ2(2, N = 246) = 6.14; p < .05), although the standardized residual for BED subthreshold women fell within the critical values. A Mann-Whitney U-test indicated that within the BED group, women with threshold overvaluation reported greater distress over binge eating than those with subthreshold overvaluation (Z(156) = 4.62; p < .001). The two groups did not differ in frequency of binge eating episodes over the previous month (Z(156) = 0.65; p = .52). The chi-square test for psychiatric comorbidity indicated that women with BED who reported threshold overvaluation were also significantly more likely to have been diagnosed with a lifetime comorbid psychiatric disorder than women with BED who reported subthreshold overvaluation (χ2(1, N = 156) = 16.53; p < .001), the most common primary diagnosis being Major Depressive Disorder (n = 41 out of 88; 46.6%). See Table 2 for group means and test statistics.

Predicting Diagnostic Status

Discriminant function analysis revealed that 67.7% of cases were correctly classified into their respective diagnostic group (BED vs. PC) based on the overvaluation of shape and weight cutoff score of 4.5. Specifically, among women reporting threshold levels of shape and weight overvaluation, 84.6% (n = 88 out of 104) were correctly classified as having BED, versus just 15.4% (n = 16 out of 104) who were classified as PC. Among women with subthreshold overvaluation of shape and weight, 56.4% (n = 88 out of 156) were correctly classified as PC, versus 43.6% (n = 68 out of 156) who were classified as BED. The corresponding chi-square value was highly significant (χ2(1, N = 260) = 43.76; p < .001).

Discussion

The purpose of the current study was to examine the construct and discriminant validity of overvaluation of shape and weight in a large, community-based sample of women with BED and other psychiatric disorders. Threshold shape and weight overvaluation was found to be associated with impaired psychosocial functioning in women with BED, and to significantly predict diagnosis of BED versus other disorders. Taken together, these findings highlight the utility of overvaluation of shape and weight in the diagnostic scheme for BED.

Using ROC analysis, we were able to identify a value of shape and weight overvaluation that best predicted a more severely impaired profile in women with BED. Consistent with research convention (Fairburn & Cooper, 1993) and with previous studies examining this construct in BED (Grilo et al., 2008; Grilo et al., in press; Hrabosky et al., 2007; Mond et al., 2007), overvaluation of shape and weight scores corresponding to at least “moderate” importance of shape and weight in one's scheme for self-evaluation best predicted a more severely impaired subset of individuals with BED. Thus, results confirm the use of moderate overvaluation to denote clinical significance.

Women with BED who endorsed threshold overvaluation reported significantly greater levels of general psychopathology and social dysfunction than both women with BED who endorsed subthreshold overvaluation, and women with other psychiatric disorders. Moreover, among women with BED, those exhibiting threshold overvaluation reported greater levels of distress related to their binge eating, greater rates of lifetime psychiatric comorbidity, and increased healthcare utilization relative to those exhibiting subthreshold overvaluation. Threshold and subthreshold women, however, did not differ with regard to frequency of binge eating, perhaps reflecting that shape- and weight-related attitudes are less relevant triggers for binge eating episodes in BED than other psychosocial stressors (e.g., negative affect). Overall, results suggest that overvaluation of shape and weight is a clinically important construct that may be a used as a marker of impairment and distress. Grilo and colleagues (2008) have proposed that overvaluation of shape and weight may be most useful as a diagnostic specifier in BED (i.e., a diagnostic sub-category that can be used to aid treatment planning), rather than as a diagnostic criterion, the latter of which would exclude a significant portion of otherwise diagnosable patients who nevertheless experience significant impairment and distress secondary to their eating disorder. Indeed, in the current study, women with BED reporting subthreshold overvaluation exhibited commensurate levels of psychosocial impairment relative to the psychiatric control group, indicating that even without threshold levels of shape and weight overvaluation, women with BED still demonstrate marked impairment in a range of domains. Thus, current findings support including shape and weight overvaluation as a specifier rather than a criterion for the diagnosis of BED. If included as a diagnostic specifier, overvaluation of shape and weight could assist clinicians in case formulation for individuals with BED.

Discriminant function analysis revealed a modest proportion (15.4%) of PC women who endorsed threshold levels of shape and weight overvaluation. This likely reflects the relatively high levels of shape and weight concerns among women in Western societies in general (i.e., “normative discontent”; Rodin, Silberstein, & Striegel-Moore, 1985). Alternatively, even though PCs were screened for the presence of significant eating disorder symptomatology, the recruitment of a control group with psychiatric diagnoses could have inflated the rates of shape and weight overvaluation in PC women given the association between disordered eating attitudes and psychiatric disorders (Jackson & Grilo, 2002; Srebnik et al., 2003). Nevertheless, future research should explore whether shape and weight overvaluation is related to psychosocial impairment or poor treatment outcome in individuals with non-eating-related psychiatric disorders.

Strengths of this study include the large and ethnically diverse sample, and the community-based study design, which enhances generalizability of the current findings. Further, this was the first study, to the authors' knowledge, to include a psychiatric comparison group when examining shape and weight overvaluation, consequently allowing careful investigation of this variable as a clinically significant construct unique to BED. Limitations include the use of a self-report questionnaire to assess overvaluation of shape and weight. Further, PC women were not matched to women with BED on BMI, thus, some of the current findings could be attributed to increased body weight in women with BED. However, all analyses statistically controlled for BMI, minimizing such concerns.

Overall, research supports overvaluation of shape and weight as a clinically important construct in BED. Continued research on overvaluation of shape and weight in BED is warranted in order to continue to improve intervention and prevention efforts. In particular, future studies should seek to untangle timing with regards to the onset of shape and weight overvaluation relative to eating disorder and other psychosocial symptoms. Healthcare providers are advised to assess overvaluation of shape and weight in patients presenting with BED in order to obtain additional information on psychosocial functioning, and to inform clinical decision-making. For example, individuals with BED who exhibit threshold overvaluation may require interventions that address the full range of psychosocial symptoms, in addition to symptoms of BED, in order improve overall functioning and treatment outcome.

Acknowledgements

Funding sources for this study include NIH grants T32 HL007456 (Ms. Goldschmidt), K24 MH070446 (Dr. Wilfley), and MH52348 (Dr. Striegel-Moore), and a supplemental grant from the Office for Research on Women's Health at NIH. Dr. Fairburn is supported by a Principal Fellowship award from the Wellcome Trust, London (046386).

Footnotes

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1

In order to minimize concerns about the overlap between the predictor (i.e., shape and weight overvaluation composite score) and state (i.e., BED severity status based on EDE-Q global severity index median split) variables in the ROC analysis, an EDE-Q global severity index was recalculated omitting overvaluation of shape and weight items. There was a high correlation between EDE-Q global severity indices derived by including and excluding the overvaluation items (r = .99; p < .001). Moreover, ROC analyses yielded the same optimal shape and weight overvaluation score of 4.5, whether the standard EDE-Q global severity index (i.e., including shape and weight overvaluation items) or the recalculated EDE-Q global severity index (i.e., excluding shape and weight overvaluation items) was used to classify a more severe BED group.

References

  1. Allaz AF, Bernstein M, Rouget P, Archinard M, Morabia A. Body weight preoccupation in middle-age and ageing women: A general population survey. International Journal of Eating Disorders. 1998;23:287–294. doi: 10.1002/(sici)1098-108x(199804)23:3<287::aid-eat6>3.0.co;2-f. [DOI] [PubMed] [Google Scholar]
  2. American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders. 3rd ed., revised Washington, D.C.: 1987. [Google Scholar]
  3. American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders. 4th ed. American Psychiatric Association; Washington, DC: 2000. text revision. [Google Scholar]
  4. Black CM, Wilson GT. Assessment of eating disorders: Interview versus questionnaire. International Journal of Eating Disorders. 1996;20:43–50. doi: 10.1002/(SICI)1098-108X(199607)20:1<43::AID-EAT5>3.0.CO;2-4. [DOI] [PubMed] [Google Scholar]
  5. Cooper PJ, Fairburn CG. Confusion over the core psychopathology of bulimia nervosa. International Journal of Eating Disorders. 1993;13:385–389. doi: 10.1002/1098-108x(199305)13:4<385::aid-eat2260130406>3.0.co;2-w. [DOI] [PubMed] [Google Scholar]
  6. Cooper Z, Cooper PJ, Fairburn CG. The validity of the Eating Disorder Examination and its subscales. British Journal of Psychiatry. 1989;154:807–812. doi: 10.1192/bjp.154.6.807. [DOI] [PubMed] [Google Scholar]
  7. Crow SJ, Agras WS, Halmi K, Mitchell JE, Kraemer HC. Full syndromal versus subthreshold anorexia nervosa, bulimia nervosa, and binge eating disorder: A multicenter study. International Journal of Eating Disorders. 2002;32:309–318. doi: 10.1002/eat.10088. [DOI] [PubMed] [Google Scholar]
  8. Derogatis LR. The Brief Symptom Inventory (BSI); Administration, Scoring and Procedures Manual-II. Clinical Psychometric Research Inc; Baltimore, MD: 1991. [Google Scholar]
  9. Eldredge KL, Agras WS. Weight and shape overconcern and emotional eating in binge eating disorder. International Journal of Eating Disorders. 1996;19:73–82. doi: 10.1002/(SICI)1098-108X(199601)19:1<73::AID-EAT9>3.0.CO;2-T. [DOI] [PubMed] [Google Scholar]
  10. Fairburn CG. Eating disorders: The transdiagnostic view and the cognitive behavioral theory. In: Fairburn CG, editor. Cognitive Behavior Therapy and Eating Disorders. The Guilford Press; New York: 2008. pp. 7–22. [Google Scholar]
  11. Fairburn CG, Beglin SJ. Assessment of eating disorders: Interview or self-report questionnaire? International Journal of Eating Disorders. 1994;16:363–370. [PubMed] [Google Scholar]
  12. Fairburn CG, Cooper Z. The Eating Disorder Examination. In: Fairburn CG, Wilson GT, editors. Binge eating: Nature, assessment, and treatment. 12th Guilford Press; New York: 1993. pp. 317–360. [Google Scholar]
  13. Fairburn CG, Cooper Z, Bohn K, O'Connor ME, Doll HA, Palmer RL. The severity and status of eating disorder NOS: Implications for DSM-V. Behaviour Research and Therapy. 2007;45:1705–1715. doi: 10.1016/j.brat.2007.01.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Fairburn CG, Cooper Z, Shafran R. Cognitive behaviour therapy for eating disorders: A “transdiagnostic” theory and treatment. Behaviour Research and Therapy. 2003;41:509–528. doi: 10.1016/s0005-7967(02)00088-8. [DOI] [PubMed] [Google Scholar]
  15. Fairburn CG, Garner DM. The diagnosis of bulimia nervosa. International Journal of Eating Disorders. 1986;5:403–419. [Google Scholar]
  16. Fairburn CG, Peveler RC, Jones R, Hope RA, Doll HA. Predictors of 12-month outcome in bulimia nervosa and the influence of attitudes to shape and weight. Journal of Consulting and Clinical Psychology. 1993;61:696–698. doi: 10.1037//0022-006x.61.4.696. [DOI] [PubMed] [Google Scholar]
  17. Fairburn CG, Stice E, Cooper Z, Doll HA, Norman PA, O'Connor ME. Understanding persistence in bulimia nervosa: A 5-year naturalistic study. Journal of Consulting and Clinical Psychology. 2003;71:103–109. [PubMed] [Google Scholar]
  18. First MB, Spitzer RL, Gibbon M, Williams JBW. Structured Clinical Interview for DSM-IV Axis I Disorders, Research Version, Patient Edition With Psychotic Screen. Biometrics Research, New York State Psychiatric Institute; New York: 1997. [Google Scholar]
  19. Garfinkel PE, Coldbloom D, Davis R, Olmsted MP, Garner DM, Halmi KA. Body dissatisfaction in bulimia nervosa: Relationship to weight and shape concerns and psychological functioning. International Journal of Eating Disorders. 1992;11:151–161. [Google Scholar]
  20. Goldfein JA, Walsh BT, Midlarsky E. Influence of shape and weight on self-evaluation in bulimia nervosa. International Journal of Eating Disorders. 2000;27:435–445. doi: 10.1002/(sici)1098-108x(200005)27:4<435::aid-eat8>3.0.co;2-2. [DOI] [PubMed] [Google Scholar]
  21. Goldman HH, Skodol AE, Lave TR. Revising axis V for DSM-IV: A review of measures of social functioning. American Journal of Psychiatry. 1992;149:1148–1156. doi: 10.1176/ajp.149.9.1148. [DOI] [PubMed] [Google Scholar]
  22. Grilo CM, Crosby R, Masheb R, White M, Peterson C, Wonderlich S, et al. Overvaluation of shape and weight in binge eating disorder, bulimia nervosa, and sub-threshold bulimia nervosa. Behaviour Research and Therapy. 2009;47:692–696. doi: 10.1016/j.brat.2009.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Grilo CM, Hrabosky JI, White MA, Allison KC, Stunkard AJ, Masheb RM. Overvaluation of shape and weight in binge eating disorder and overweight controls: Refinement of a diagnostic construct. Journal of Abnormal Psychology. 2008;117:414–419. doi: 10.1037/0021-843X.117.2.414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Grilo CM, Masheb RM, Lozano-Blanco C, Barry DT. Reliability of the Eating Disorder Examination in patients with binge eating disorder. International Journal of Eating Disorders. 2004;35:80–85. doi: 10.1002/eat.10238. [DOI] [PubMed] [Google Scholar]
  25. Grilo CM, Masheb RM, White MA. Significance of overvaluation of shape/weight in binge-eating disorder: Comparative study with overweight and bulimia nervosa. Obesity. doi: 10.1038/oby.2009.280. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Grilo CM, Masheb RM, Wilson GT. A comparison of different methods for assessing the features of eating disorders in patients with binge eating disorder. Journal of Consulting and Clinical Psychology. 2001;69:317–322. doi: 10.1037//0022-006x.69.2.317. [DOI] [PubMed] [Google Scholar]
  27. Hadigan CM, Walsh BT. Body shape concerns in bulimia nervosa. International Journal of Eating Disorders. 1991;10:323–331. [Google Scholar]
  28. Hrabosky JI, Masheb RM, White MA, Grilo CM. Overvaluation of shape and weight in binge eating disorder. Journal of Consulting and Clinical Psychology. 2007;75:175–180. doi: 10.1037/0022-006X.75.1.175. [DOI] [PubMed] [Google Scholar]
  29. Jackson TM, Grilo CM. Weight and eating concerns in outpatient men and women being treated for substance abuse. Eating and Weight Disorders. 2002;7:276–283. doi: 10.1007/BF03324973. [DOI] [PubMed] [Google Scholar]
  30. Latner JD, Clyne C. The diagnostic validity of the criteria for binge eating disorder. International Journal of Eating Disorders. 2008;41:1–14. doi: 10.1002/eat.20465. [DOI] [PubMed] [Google Scholar]
  31. Luce KH, Crowther JH. The reliability of the Eating Disorder Examination--Self-Report Questionnaire Version (EDE-Q) International Journal of Eating Disorders. 1999;25:349–351. doi: 10.1002/(sici)1098-108x(199904)25:3<349::aid-eat15>3.0.co;2-m. [DOI] [PubMed] [Google Scholar]
  32. Masheb RM, Grilo CM. Binge eating disorder: A need for additional diagnostic criteria. Comprehensive Psychiatry. 2000;41:159–162. doi: 10.1016/S0010-440X(00)90041-5. [DOI] [PubMed] [Google Scholar]
  33. Masheb RM, Grilo CM. The nature of body image disturbance in patients with binge eating disorder. International Journal of Eating Disorders. 2003;33:333–341. doi: 10.1002/eat.10139. [DOI] [PubMed] [Google Scholar]
  34. Masheb RM, Grilo CM. Prognostic significance of two sub-categorization methods for the treatment of binge eating disorder: Negative affect and overvaluation predict, but do not moderate, specific outcomes. Behaviour Research and Therapy. 2008;46:428–437. doi: 10.1016/j.brat.2008.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. McFarlane T, McCabe RE, Jarry J, Olmsted MP, Polivy J. Weight-related and shape-related self-evaluation in eating-disordered and non-eating-disordered women. International Journal of Eating Disorders. 2001;29:328–335. doi: 10.1002/eat.1026. [DOI] [PubMed] [Google Scholar]
  36. McLaren L, Kuh D. Body dissatisfaction in midlife women. Journal of Women and Aging. 2004;16:35–54. doi: 10.1300/J074v16n01_04. [DOI] [PubMed] [Google Scholar]
  37. Mond JM, Hay PJ, Rodgers B, Owen C. Recurrent binge eating with and without the “undue influence of weight or shape on self-evaluation”: Implications for the diagnosis of binge eating disorder. Behaviour Research and Therapy. 2007;45:929–938. doi: 10.1016/j.brat.2006.08.011. [DOI] [PubMed] [Google Scholar]
  38. Mond JM, Hay PJ, Rodgers B, Owen C, Beumont PJ. Temporal stability of the Eating Disorder Examination Questionnaire. International Journal of Eating Disorders. 2004;36:195–203. doi: 10.1002/eat.20017. [DOI] [PubMed] [Google Scholar]
  39. Pike KM, Dohm FA, Striegel-Moore RH, Wilfley DE, Fairburn CG. A comparison of black and white women with binge eating disorder. American Journal of Psychiatry. 2001;158:1455–1460. doi: 10.1176/appi.ajp.158.9.1455. [DOI] [PubMed] [Google Scholar]
  40. Rizvi SL, Peterson CB, Crow SJ, Agras WS. Test-retest reliability of the Eating Disorder Examination. International Journal of Eating Disorders. 2000;28:311–316. doi: 10.1002/1098-108x(200011)28:3<311::aid-eat8>3.0.co;2-k. [DOI] [PubMed] [Google Scholar]
  41. Rodin J, Silberstein LR, Striegel-Moore RH. Women and weight: A normative discontent. Nebraska Symposium on Motivation. 1984;32:267–307. [PubMed] [Google Scholar]
  42. Rosen JC, Vara L, Wendt S, Leitenberg H. Validity studies of the Eating Disorder Examination. International Journal of Eating Disorders. 1990;9:519–528. [Google Scholar]
  43. Russell G. Bulimia nervosa: An ominous variant of anorexia nervosa. Psychological Medicine. 1979;9:429–448. doi: 10.1017/s0033291700031974. [DOI] [PubMed] [Google Scholar]
  44. Slade P. Towards a functional analysis of anorexia nervosa and bulimia nervosa. British Journal of Psychology. 1982;21:167–179. doi: 10.1111/j.2044-8260.1982.tb00549.x. [DOI] [PubMed] [Google Scholar]
  45. Srebnik D, Comtois K, Stevenson J, Hoff H, Snowden M, Russo J, et al. Eating disorder symptoms among adults with severe and persistent mental illness. Eating Disorders. 2003;11:27–38. doi: 10.1080/10640260390167465. [DOI] [PubMed] [Google Scholar]
  46. Striegel-Moore RH, Cachelin FM, Dohm FA, Pike KM, Wilfley DE, Fairburn CG. Comparison of binge eating disorder and bulimia nervosa in a community sample. International Journal of Eating Disorders. 2001;29:157–165. doi: 10.1002/1098-108x(200103)29:2<157::aid-eat1005>3.0.co;2-8. [DOI] [PubMed] [Google Scholar]
  47. Striegel-Moore RH, Dohm FA, Pike KM, Wilfley DE, Fairburn CG. Abuse, bullying, and discrimination as risk factors for binge eating disorder. American Journal of Psychiatry. 2002;159:1902–1907. doi: 10.1176/appi.ajp.159.11.1902. [DOI] [PubMed] [Google Scholar]
  48. Striegel-Moore RH, Dohm FA, Solomon EE, Fairburn CG, Pike KM, Wilfley DE. Subthreshold binge eating disorder. International Journal of Eating Disorders. 2000;27:270–278. doi: 10.1002/(sici)1098-108x(200004)27:3<270::aid-eat3>3.0.co;2-1. [DOI] [PubMed] [Google Scholar]
  49. Striegel-Moore RH, Fairburn CG, Wilfley DE, Pike KM, Dohm FA, Kraemer HC. Toward an understanding of risk factors for binge-eating disorder in black and white women: A community-based case-control study. Psychological Medicine. 2005;35:907–917. doi: 10.1017/s0033291704003435. [DOI] [PubMed] [Google Scholar]
  50. Striegel-Moore RH, Wilfley DE, Pike KM, Dohm FA, Fairburn CG. Recurrent binge eating in Black American women. Archives of Family Medicine. 2000;9:83–87. doi: 10.1001/archfami.9.1.83. [DOI] [PubMed] [Google Scholar]
  51. Striegel-Moore RH, Wilson GT, Wilfley DE, Elder KA, Brownell KD. Binge eating in an obese community sample. International Journal of Eating Disorders. 1998;23:27–37. doi: 10.1002/(sici)1098-108x(199801)23:1<27::aid-eat4>3.0.co;2-3. [DOI] [PubMed] [Google Scholar]
  52. Waller G. A ‘trans-transdiagnostic’ model of the eating disorders: A new way to open the egg? European Eating Disorders Review. 2008;16:165–172. doi: 10.1002/erv.869. [DOI] [PubMed] [Google Scholar]
  53. Waller G, Ohanian V, Meyer C, Osman S. Cognitive content among bulimic women: The role of core beliefs. International Journal of Eating Disorders. 2000;28:235–241. doi: 10.1002/1098-108x(200009)28:2<235::aid-eat15>3.0.co;2-1. [DOI] [PubMed] [Google Scholar]
  54. Walsh BT. Diagnostic criteria for eating disorders in DSM-IV: Work in progress. International Journal of Eating Disorders. 1992;11:301–304. [Google Scholar]
  55. Weissman MM, Bothwell S. Assessment of social adjustment by patient self-report. Archives of General Psychiatry. 1976;33:1111–1115. doi: 10.1001/archpsyc.1976.01770090101010. [DOI] [PubMed] [Google Scholar]
  56. Weissman MM, Prusoff BA, Thompson WD, Harding PS, Myers JK. Social adjustment by self-report in a community sample and in psychiatric outpatients. Journal of Nervous and Mental Disease. 1978;166:317–326. doi: 10.1097/00005053-197805000-00002. [DOI] [PubMed] [Google Scholar]
  57. Wildes JE, Emery RE, Simons AD. The roles of ethnicity and culture in the development of eating disturbance and body dissatisfaction: A meta-analytic review. Clinical Psychology Review. 2001;21:521–551. doi: 10.1016/s0272-7358(99)00071-9. [DOI] [PubMed] [Google Scholar]
  58. Wilfley DE, Bishop ME, Wilson GT, Agras WS. Classification of eating disorders: Toward DSM-V. International Journal of Eating Disorders. 2007;40(Suppl):S123–129. doi: 10.1002/eat.20436. [DOI] [PubMed] [Google Scholar]
  59. Wilfley DE, Schwartz MB, Spurrell EB, Fairburn CG. Assessing the specific psychopathology of binge eating disorder patients: Interview or self-report? Behaviour Research and Therapy. 1997;35:1151–1159. [PubMed] [Google Scholar]
  60. Wonderlich SA, Gordon KH, Mitchell JE, Crosby RD, Engel SG. The validity and clinical utility of binge eating disorder. International Journal of Eating Disorders. doi: 10.1002/eat.20719. in press. [DOI] [PubMed] [Google Scholar]

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