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Fuller-TyszkiewiczM.pdf (261.74 KB)

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2020-06-01

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cc by (c) Fuller-Tyszkiewicz et al., 2020
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/171773

State-Based Markers of Disordered Eating Symptom Severity

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https://doi.org/10.3390/jcm9061948

Resum

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.

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Appetite disorders, Body image

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Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

Citació

FULLER-TYSZKIEWICZ, Matthew, et al. State-Based Markers of Disordered Eating Symptom Severity. Journal of Clinical Medicine. 2020. Vol. 9, num. 6. [consulted: 14 of August of 2026]. Available at: https://hdl.handle.net/2445/171773

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