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Article

State-Based Markers of Disordered Eating Symptom Severity

1
School of Psychology, Deakin University, Geelong, VIC 3220, Australia
2
School of Psychological Sciences, University of Melbourne, Melbourne, VIC 3010, Australia
3
Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA
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Department of Psychiatry, University Hospital of Bellvitge-IDIBELL and CIBERobn, 08907 L Hospitalet De Llobregat, Spain
5
Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE59RJ, UK
6
Applied Artificial Intelligence Institute, Deakin University, Geelong, VIC 3220, Australia
7
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; https://doi.org/10.3390/jcm9061948
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. https://doi.org/10.3390/jcm9061948

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. https://doi.org/10.3390/jcm9061948

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. https://doi.org/10.3390/jcm9061948

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