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State-Based Markers of Disordered Eating Symptom Severity

School of Psychology, Deakin University, Geelong, VIC 3220, Australia
School of Psychological Sciences, University of Melbourne, Melbourne, VIC 3010, Australia
Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA
Department of Psychiatry, University Hospital of Bellvitge-IDIBELL and CIBERobn, 08907 L Hospitalet De Llobregat, Spain
Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE59RJ, UK
Applied Artificial Intelligence Institute, Deakin University, Geelong, VIC 3220, Australia
School of Science, Engineering, Information Technology, & Physical Sciences, Federation University, Berwick, VIC 3806, Australia
Author to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(6), 1948;
Received: 25 May 2020 / Revised: 18 June 2020 / Accepted: 18 June 2020 / Published: 22 June 2020
(This article belongs to the Section Clinical Psychology)
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. View Full-Text
Keywords: state body image; experience sampling; disordered eating; within-person dynamics; ecological momentary assessment state body image; experience sampling; disordered eating; within-person dynamics; ecological momentary assessment
MDPI and ACS Style

Fuller-Tyszkiewicz, M.; Krug, I.; Smyth, J.M.; Fernandez-Aranda, F.; Treasure, J.; Linardon, J.; Vasa, R.; Shatte, A. State-Based Markers of Disordered Eating Symptom Severity. J. Clin. Med. 2020, 9, 1948.

AMA Style

Fuller-Tyszkiewicz M, Krug I, Smyth JM, Fernandez-Aranda F, Treasure J, Linardon J, Vasa R, Shatte A. State-Based Markers of Disordered Eating Symptom Severity. Journal of Clinical Medicine. 2020; 9(6):1948.

Chicago/Turabian Style

Fuller-Tyszkiewicz, Matthew, Isabel Krug, Joshua M. Smyth, Fernando Fernandez-Aranda, Janet Treasure, Jake Linardon, Rajesh Vasa, and Adrian Shatte. 2020. "State-Based Markers of Disordered Eating Symptom Severity" Journal of Clinical Medicine 9, no. 6: 1948.

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