Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
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.
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http://dx.doi.org/10.1016/j.jpsychires.2023.01.002 | DOI Listing |
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