State-Based Markers of Disordered Eating Symptom Severity

Area of Science:

• Psychology
• Eating Disorders Research
• Behavioral Science

Background:

• Ambulatory assessment reveals within-person mood and body image dynamics predict eating disorder behaviors.
• The link between these state-based dynamics and trait-level eating disorder severity is understudied.

Purpose of the Study:

• To investigate if within-person dynamics of negative mood, body image, and dieting predict baseline trait eating pathology.
• To assess the prognostic significance of state-based dynamics for trait-level eating disorder severity.

Main Methods:

• 260 women completed baseline eating pathology measures.
• A 7-10 day ecological momentary assessment (EMA) phase involved 6 daily surveys on mood, body image, appearance comparisons, and dietary restraint.
• Regression analyses examined the predictive power of state-based dynamics on trait eating pathology.

Main Results:

• State-based dynamics collectively explained 34-43% of the variance in trait eating pathology.
• Predictive power was contingent on the severity of eating disorder symptoms.
• Within-person dynamics are viable predictors of baseline disordered eating severity.

Conclusions:

• State-based mood and body image dynamics significantly predict trait-level eating disorder severity.
• These findings support the utility of within-person, state-based assessments in understanding eating pathology.
• Further longitudinal research is required to confirm if these dynamics predict changes in disordered eating over time.