Journal article
Unique and Shared Symptoms Across Food Addiction and Binge‐Eating Measures: A Content Analysis
The International journal of eating disorders, Forthcoming
19 Jan 2026
PMID: 41550070
Featured in Collection : Drexel's Newest Publications
Abstract
Numerous studies report co‐occurrence rates between food addiction (FA) and binge‐spectrum eating disorders (BSEDs) exceeding 80%. We conducted a content analysis comparing the Yale Food Addiction Scale 2.0 (YFAS 2.0) with the five most‐cited BSED measures to examine whether overlap in the symptoms assessed by these measures may contribute to high co‐occurrence rates. Nearly half of YFAS symptoms were represented in at least one BSED measure, but overlap between the YFAS and any single BSED measure was low. The YFAS specifically assessed tolerance, withdrawal, and functional impairment related to eating, whereas BSED measures focused primarily on symptoms related to eating behaviors and cognitions. These differences may reflect distinct theoretical frameworks rather than differences in underlying pathology. Shared symptom content between FA and BSED measures may partly explain high co‐occurrence rates, but further research on biological markers and clinical courses is needed to determine whether FA and BSEDs are meaningfully distinct.
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Details
- Title
- Unique and Shared Symptoms Across Food Addiction and Binge‐Eating Measures: A Content Analysis
- Creators
- Haley Graver (Corresponding Author) - Drexel UniversityHannah C. McCausland - Drexel UniversityMacarena Kruger - Drexel UniversityLaura G. Rubino - Nemours Children's Health SystemJannah R. Moussaoui - Drexel UniversityLindsey Parnarouskis - Drexel UniversityErica M. LaFata - Oregon Research InstituteStephanie Manasse - Nemours Children's Health System
- Publication Details
- The International journal of eating disorders, Forthcoming
- Publisher
- Wiley; HOBOKEN
- Number of pages
- 11
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology); WELL Center
- Web of Science ID
- WOS:001663917800001
- Other Identifier
- 991022155334104721