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State-based markers of disordered eating symptom severity

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Version 2 2024-06-04, 13:52
Version 1 2020-06-29, 11:39
journal contribution
posted on 2024-06-18, 21:24 authored by Matthew Fuller-TyszkiewiczMatthew Fuller-Tyszkiewicz, I Krug, JM Smyth, F Fernandez-Aranda, J Treasure, Jake LinardonJake Linardon, Rajesh VasaRajesh Vasa, A Shatte
Recent work using naturalistic, repeated, ambulatory assessment approaches have uncovered a range of within-person mood- and body image-related dynamics (such as fluctuation of mood and body dissatisfaction) that can prospectively predict eating disorder behaviors (e.g., a binge episode following an increase in negative mood). The prognostic significance of these state-based dynamics for predicting trait-level eating disorder severity, however, remains largely unexplored. The present study uses within-person relationships among state levels of negative mood, body image, and dieting as predictors of baseline, trait-level eating pathology, captured prior to a period of state-based data capture. Two-hundred and sixty women from the general population completed baseline measures of trait eating pathology and demographics, followed by a 7 to 10-day ecological momentary assessment phase comprising items measuring state body dissatisfaction, negative mood, upward appearance comparisons, and dietary restraint administered 6 times daily. Regression-based analyses showed that, in combination, state-based dynamics accounted for 34–43% variance explained in trait eating pathology, contingent on eating disorder symptom severity. Present findings highlight the viability of within-person, state-based dynamics as predictors of baseline trait-level disordered eating severity. Longitudinal testing is needed to determine whether these dynamics account for changes in disordered eating over time.

History

Journal

Journal of Clinical Medicine

Volume

9

Article number

ARTN 1948

Pagination

1-13

Location

Switzerland

Open access

  • Yes

ISSN

2077-0383

eISSN

2077-0383

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Issue

6

Publisher

MDPI