Evidence Hub

Predictors of relapse in eating disorders: A meta-analysis

Sala M, Keshishian A, Song S, Moskowitz R, Bulik CM, Roos CR, Levinson CA

Journal of psychiatric research, 2023

70 citations

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…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free