Diagnostic efficiency of DSM–IV indicators for binge eating episodes.
Open accessAbstract
OBJECTIVE: Research has examined various aspects of the validity of the research criteria for binge eating disorder (BED) but has yet to evaluate the utility of the 5 Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) "indicators for impaired control" specified to help determine loss of control while overeating (i.e., binge eating). We examined the diagnostic efficiency of these indicators proposed as part of the research criteria for BED (eating until uncomfortably full; eating when not hungry; eating more rapidly than usual; eating in secret; and feeling disgust, shame, or depression after the episode). METHOD: A total of 916 community volunteers completed a battery of measures including questions about each of the indicators. Participants were categorized into 3 groups: BED (N = 164), bulimia nervosa (BN; N = 83), and non-binge-eating controls (N = 669). Four conditional probabilities (sensitivity, specificity, positive predictive power [PPP], and negative predictive power [NPP]) as well as total predictive value (TPV) and kappa coefficients were calculated for each indicator criterion in separate analyses comparing BED, BN, and combined BED + BN groups relative to controls. RESULTS: PPPs and NPPs suggest all of the indicators have predictive value, with eating alone because embarrassed (PPP = .80) and feeling disgusted (NPP = .93) performing as the best inclusion and exclusion criteria, respectively. The best overall indicators for correctly identifying binge eating (based on TPV and kappa) were eating when not hungry and eating alone because embarrassed. CONCLUSIONS: All 5 proposed indicators for impaired control for determining binge eating have utility, and the diagnostic efficiency statistics provide guidance for clinicians and the DSM-5 regarding their usefulness for inclusion or exclusion.
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The behavioral indicators for establishing binge eating in the DSM-IV/DSM-5 have received empirical support.
“the behavioral indicators for establishing binge eating in the DSM-IV/DSM-5, which have received empirical support [91]”
From Mental, behavioral and neurodevelopmental disorders in the ICD-11: an international perspective on key changes and controversies (2020) · cites this paper as [91]
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- Authors
- White, M. A., & Grilo, C. M.
- Affiliations
- Yale University (US)
- Venue
- Journal of Consulting and Clinical Psychology
- Published
- 2011
- Volume
- 79
- Issue
- 1
- Pages
- 75-83
- ISSN
- 0022-006X (ISSN-L)
- 1939-2117
- PMC
- PMC3078698
- OpenAlex
- W2072956704
- Cited by
- 58
- References
- 37
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 2 · 2021: 1 · 2020: 5 · 2019: 5 · 2018: 3 · 2017: 3 · 2016: 4 · 2015: 9 · 2014: 5 · 2013: 5 · 2012: 5
- FWCI
- 5.87
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Consulting and Clinical Psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (K23 DK071646, K24 DK070052)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- binge eating disorder, DSM-IV diagnostic criteria, diagnostic validity, bulimia nervosa, sensitivity and specificity, positive predictive value, negative predictive value
- MeSH terms
- Adolescent, Adult, Analysis of Variance, Bulimia, Female, Humans, Male, Predictive Value of Tests, Surveys and Questionnaires, Reproducibility of Results, Diagnostic and Statistical Manual of Mental Disorders, Binge-Eating Disorder
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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