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Binge Eating Disorders

Binge Eating Disorders

Binge eating disorder is a significant mental health condition characterized by recurrent episodes of excessive food consumption within a short period, accompanied by a perceived loss of control over eating behavior. Unlike occasional overeating, binge eating disorder is marked by distressing emotions such as guilt, shame, and anxiety following binge episodes. The disorder affects individuals across different ages and backgrounds, with profound implications for physical and psychological...

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Optimizing a Digital Mindfulness-Based Intervention to Reduce Risk Factors for Disordered Eating: A

Emma L Osborne¹, Ben Ainsworth^1,2, Nic Hooper³

¹Department of Psychology, University of Bath, Bath, UK.

The International Journal of Eating Disorders

|September 16, 2025

Summary

This summary is machine-generated.

This pilot study found that a digital mindfulness intervention incorporating emotion regulation and self-compassion components is feasible and acceptable. These findings support further research into optimizing digital interventions for disordered eating risk factors.

Keywords:

body image digital intervention disordered eating emotion regulation factorial trial mindfulness‐based intervention multiphase optimisation strategy negative affect self‐compassion weight and shape concerns

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Control of Eating Behavior Using a Novel Feedback System

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Published on: May 8, 2018

Area of Science:

Digital health interventions
Mindfulness-based interventions (MBIs)
Eating disorder risk factors

Background:

Digital MBIs show promise for reducing disordered eating risk factors but have variable effects and suboptimal engagement.
Intervention length, complexity, and content variation may hinder engagement.
Optimizing digital interventions requires identifying effective and engaging components.

Purpose of the Study:

To assess the feasibility of a factorial trial using the Multiphase Optimization Strategy (MOST) to evaluate digital MBI components.
To determine if adding emotion regulation (ER) and self-compassion (SC) enhances decentred awareness and acceptance (DA+A) in a digital MBI.

Main Methods:

A 2x2 factorial design tested four conditions: DA+A with or without ER and/or SC.
92 participants (M age=21.1 years) were randomized for 3-week access.
Feasibility (recruitment, retention, engagement, acceptability) and intervention outcomes were assessed.

Main Results:

Recruitment exceeded targets; retention was acceptable (58-59%).
All planned analyses were feasible; engagement met criteria (77-85% completion).
Acceptability was high (M=4.28/5), with participants valuing reminders and offering design suggestions.

Conclusions:

Findings support progression to a fully powered optimization trial.
The Multiphase Optimization Strategy (MOST) can be embedded within pilot studies.
This approach provides a foundation for developing more effective, engaging, and scalable digital interventions.