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Related Experiment Video

Updated: May 8, 2025

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
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Understanding Personalized Dynamics in Eating Disorders: A Dynamic Time Warp Analysis.

A E Dingemans1,2, E J Giltay2,3, P J Rohrbach4

  • 1Rivierduinen Eating Disorders Ursula, Leiden, the Netherlands.

The International Journal of Eating Disorders
|March 13, 2025
PubMed
Summary
This summary is machine-generated.

This study used Dynamic Time Warp to analyze eating disorder (ED) symptom changes. Social support and anxiety significantly influenced other symptoms, suggesting they are key targets for intervention.

Keywords:
E‐healthanxietydynamic time warpeating disordershelp‐seeking behaviorlaxatives abuselow‐threshold interventionssocial supportsymptom interactiontemporal relationships

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Area of Science:

  • Psychiatry
  • Psychology
  • Digital Health

Background:

  • Eating disorders (EDs) are complex mental health conditions requiring effective interventions.
  • Low-threshold internet-based interventions show promise for decreasing ED symptoms and increasing help-seeking.
  • Understanding the dynamic interplay of symptoms is crucial for optimizing treatment.

Purpose of the Study:

  • To apply Dynamic Time Warp (DTW) to analyze symptom trajectories in individuals undergoing internet-based ED interventions.
  • To identify temporal relationships and influential factors among various ED-related symptoms and psychological variables.
  • To enhance understanding of change processes within these interventions.

Main Methods:

  • Utilized data from the Featback study, including 355 participants over 14 months and six time points.
  • Analyzed factors: ED psychopathology, binge eating, vomiting, laxative use, BMI, anxiety, depression, self-efficacy, social support, well-being, and health-related quality of life.
  • Employed DTW to assess symptom temporal relationships (in-strength and out-strength).

Main Results:

  • Identified four distinct within-person symptom trajectory dimensions.
  • Group 1: Depression, anxiety, ED psychopathology, quality of life, self-rated health.
  • Group 2: Binge eating, vomiting.
  • Group 3: Self-efficacy, social support.
  • Group 4: BMI, well-being, laxative use.
  • Social support and anxiety demonstrated significant temporal leads (out-strength).
  • Laxative use and well-being showed significant lags (in-strength).

Conclusions:

  • Depressive and anxiety symptoms are strongly linked to ED severity.
  • Social support emerged as a potentially critical factor, influencing other symptoms.
  • Targeting social support early in interventions may positively impact other ED-related factors.