State-based markers of disordered eating symptom severity

Matthew Fuller-Tyszkiewicz, Isabel Krug, Joshua M. Smyth, Fernando Fernandez-Aranda, Janet Treasure, Jake Linardon, Rajesh Vasa, Adrian Shatte

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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 tatebased 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.

Original languageEnglish (US)
Article number1948
Pages (from-to)1-13
Number of pages13
JournalJournal of Clinical Medicine
Issue number6
StatePublished - Jun 2020

All Science Journal Classification (ASJC) codes

  • General Medicine


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