Fuller-Tyszkiewicz, Matthew, Krug, Isabel, Smyth, Joshua M., Fernandez-Aranda, Fernando, Treasure, Janet, Linardon, Jake, Vasa, Rajesh, and Shatte, Adrian (2020) State-Based Markers of Disordered Eating Symptom Severity. Journal of Clinical Medicine, 9 (6). 1948.

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Abstract

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.

Item ID:	81643
Item Type:	Article (Research - C1)
ISSN:	2077-0383
Keywords:	state body image, experience sampling, disordered eating, within-person dynamics, ecological momentary assessment
Copyright Information:	© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Date Deposited:	19 Apr 2024 04:15
FoR Codes:	52 PSYCHOLOGY > 5201 Applied and developmental psychology > 520105 Psychological methodology, design and analysis @ 50% 52 PSYCHOLOGY > 5203 Clinical and health psychology > 520302 Clinical psychology @ 50%
SEO Codes:	20 HEALTH > 2004 Public health (excl. specific population health) > 200409 Mental health @ 100%
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