Predictors of relapse in eating disorders: A meta-analysis.

Margaret Sala, Ani Keshishian, Sarah Song, Rivka Moskowitz, Cynthia M Bulik, Corey R Roos, Cheri A Levinson

Journal: Journal of psychiatric research 2023;158():281-299

PMID: 36623362

Abstract

INTRODUCTION

Eating disorders (EDs) have high rates of relapse. However, it is still not clear which factors are the strongest predictors of ED relapse, and the extent to which predictors of relapse may vary due to study and individual differences.

OBJECTIVE

We conducted a meta-analysis to quantify and compare which factors predict relapse in EDs and evaluate various potential moderators of these relations (e.g., ED subtype, sample age, length of follow-up, timing of predictor assessment, relapse operationalization).

METHODS

A total of 35 papers (effects = 315) were included. We used a multilevel random-effects model to estimate summary study-level effect sizes, and multilevel mixed-effects models to examine moderator effects.

RESULTS

Higher level of care, having psychiatric comorbidity, and higher severity of ED psychopathology were associated with higher odds of relapse. Higher leptin, higher meal energy density/variety, higher motivation for change, higher body mass index/weight/body fat, better response to treatment, anorexia nervosa-restricting (vs. anorexia nervosa-binge purge) subtype diagnosis, and older age of ED onset were associated with lower odds of relapse. Several moderators were identified.

DISCUSSION

A variety of variables can predict ED relapse. Furthermore, predictors of ED relapse vary among ED subtypes, sample ages, lengths of follow-up, timing of predictor assessments, and relapse operationalization. Future research should identify the mechanisms by which these variables may contribute to relapse.

Copyright © 2023 Elsevier Ltd. All rights reserved.

Address: Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA. Electronic address: [email protected].; Department of Psychological and Brain Science, University of Louisville, Louisville, KY, USA.; Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA.; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.; Yale School of Medicine, Department of Psychiatry, New Haven, CT, USA.
Bant logo

© Copyright 2026, Nutrition Evidence

NED wishes to thank the following organisations for their support:

We use cookies to improve your experience and analyze site traffic with Google Analytics. By continuing to use our site, you agree to our use of cookies. Learn more.