Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Jan 20, 2020
Date Accepted: May 13, 2021
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
The efficacy of eHealth interventions in treating adults diagnosed with full and subthreshold binge eating disorder: A Meta-analysis
ABSTRACT
Background:
There has been a recent rise in the use of eHealth treatments for a variety of psychological disorders, including eating disorders.
Objective:
This meta-analysis of randomized controlled trials is the first to evaluate the efficacy of eHealth interventions specifically for the treatment of binge eating disorder (BED)– characterized by compulsive overconsumption of food, in a relatively short period of time and without compensatory behaviors like purging or fasting.
Methods:
A search on the electronic databases PubMed, Web of Science, Embase, Medline, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) was conducted for randomized controlled trials that compared the efficacy of eHealth treatment interventions to wait-list controls. From the databases searched, three studies met the inclusion criteria, and all the interventions administered were forms of internet-based guided cognitive behavioral therapy.
Results:
The results of the analysis demonstrate that when compared to wait list controls, eHealth interventions reduce objective binge episodes (OBE; SMD is -0.77, 95% CI, -1.38 to -0.16) and eating disorder psychopathology (SMD -0.71, 95% CI -1.20 to -0.22), which include shape (SMD -0.61, 95% CI -1.01 to -0.22) and weight concerns (SMD -0.91, 95% CI -1.33 to -0.48). There was no significant difference in body mass index between eHealth interventions and controls (SMD -0.01, 95% CI, -0.40 to 0.39).
Conclusions:
These findings provide promising results for the use of internet-based CBT for BED treatment and support the greater need for future research to explore the efficacy of these eHealth interventions.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.