Predictors and moderators of three online interventions for eating disorder symptoms in a randomized controlled trial

Author:

Rohrbach Pieter J.12ORCID,Fokkema Marjolein3ORCID,Spinhoven Philip45ORCID,Van Furth Eric F.14ORCID,Dingemans Alexandra E.1ORCID

Affiliation:

1. GGZ Rivierduinen Eating Disorders Ursula Leiden the Netherlands

2. Department of Clinical Psychology, Faculty of Psychology Open University Heerlen the Netherlands

3. Methodology and Statistics Research Unit, Institute of Psychology Leiden University Leiden the Netherlands

4. Department of Psychiatry Leiden University Medical Center Leiden the Netherlands

5. Clinical Psychology Unit, Institute of Psychology Leiden University Leiden the Netherlands

Abstract

AbstractObjectiveTo optimize treatment recommendations for eating disorders, it is important to investigate whether some individuals may benefit more (or less) from certain treatments. The current study explored predictors and moderators of an automated online self‐help intervention “Featback” and online support from a recovered expert patient.MethodsData were used from a randomized controlled trial. For a period of 8 weeks, participants aged 16 or older with at least mild eating disorder symptoms were randomized to four conditions: (1) Featback, (2) chat or e‐mail support from an expert patient, (3) Featback with expert‐patient support, and (4) a waitlist. A mixed‐effects partitioning method was used to see if age, educational level, BMI, motivation to change, treatment history, duration of eating disorder, number of binge eating episodes in the past month, eating disorder pathology, self‐efficacy, anxiety and depression, social support, or self‐esteem predicted or moderated intervention outcomes in terms of eating disorder symptoms (primary outcome), and symptoms of anxiety and depression (secondary outcome).ResultsHigher baseline social support predicted less eating disorder symptoms 8 weeks later, regardless of condition. No variables emerged as moderator for eating disorder symptoms. Participants in the three active conditions who had not received previous eating disorder treatment, experienced larger reductions in anxiety and depression symptoms.DiscussionThe investigated online low‐threshold interventions were especially beneficial for treatment‐naïve individuals, but only in terms of secondary outcomes, making them well‐suited for early intervention. The study results also highlight the importance of a supportive environment for individuals with eating disorder symptoms.Public SignificanceTo optimize treatment recommendations it is important to investigate what works for whom. For an internet‐based intervention for eating disorders developed in the Netherlands, individuals who had never received eating disorder treatment seemed to benefit more from the intervention than those who had received eating disorder treatment, because they experienced larger reductions in symptoms of depression and anxiety. Stronger feelings of social support were related to less eating disorder symptoms in the future.

Funder

ZonMw

Publisher

Wiley

Subject

Psychiatry and Mental health

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Review of machine learning solutions for eating disorders;International Journal of Medical Informatics;2024-09

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