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Updated: Apr 17, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Screening for DSM-5 Other Specified Feeding or Eating Disorder in a Weight-Loss Treatment-Seeking Obese Sample
Andrea S Hartmann1, Mark J Gorman1, Stephanie Sogg1
1Institute of Psychology, Universität Osnabrück, Osnabrück, Germany (Dr Hartmann); Massachusetts General Hospital, Boston (Drs Gorman, Sogg, Eddy, Becker, and Thomas and Mr Lamont); and Department of Psychiatry (Drs Gorman, Sogg, Eddy, and Thomas) and Department of Global Health and Social Medicine (Dr Becker), Harvard Medical School, Boston, Massachusetts.
Objective:
To evaluate the effectiveness of specific self-report questionnaires in detecting DSM-5 eating disorders identified via structured clinical interview in a weight-loss treatment-seeking obese sample, to improve eating disorder recognition in general clinical settings.
Method:
Individuals were recruited over a 3-month period (November 2, 2011, to January 10, 2012) when initially presenting to a hospital-based weight-management center in the northeastern United States, which offers evaluation and treatment for outpatients who are overweight or obese. Participants (N = 100) completed the Structured Clinical Interview for DSM-IV eating disorder module, a DSM-5 feeding and eating disorders interview, and a battery of self-report questionnaires.
Results:
Self-reports and interviews agreed substantially in the identification of bulimia nervosa (DSM-IV and DSM-5: tau-b = 0.71, P < .001) and binge-eating disorder (DSM-IV and DSM-5: tau-b = 0.60, P < .001), modestly for subthreshold binge-eating disorder (tau-b = 0.44, P < .001), and poorly for other subthreshold conditions (night-eating syndrome: tau-b = -0.04, P = .72, r = 0.06 [DSM-5]).
Discussion:
Current self-report assessments are likely to identify full syndrome DSM-5 eating disorders in treatment-seeking obese samples, but unlikely to detect DSM-5 other specified feeding or eating disorders. We propose specific content changes that might enhance clinical utility as suggestions for future evaluation.
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