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Updated: Aug 20, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Empirical classification of eating disorders
Denise M Sloan1, J Scott Mizes, Eva M Epstein
1Department of Psychology, Temple University, Weiss Hall, Philadelphia 19122, USA. dsloan@temple.edu
Abstract:
Although the eating disorder nosology has become refined over the years, considerable problems remain. The purpose of the present study was to empirically examine eating disorder classification using a sample of treatment-seeking eating-disorder patients. One hundred and fifty-nine patients with diagnoses of anorexia nervosa (AN), bulimia nervosa (BN), and eating disorder, not otherwise specified (EDNOS), were included in a cluster analysis using a variety of eating disorder variables. Findings revealed four clusters, with three clusters resembling AN, restricting type, BN, and binge-eating disorder (BED). The remaining cluster appeared to be a group of patients that were subthresholded in terms of symptom severity. Results also indicated a relatively poor fit between the empirically derived groupings and clinical diagnoses. The implications of these findings for both the current classification system and treatment considerations are discussed.
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