Understanding Personalized Dynamics in Eating Disorders: A Dynamic Time Warp Analysis.

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.