State-based markers of disordered eating symptom severity Fuller-Tyszkiewicz, Matthew, Krug, Isabel, Smyth, Joshua .M, Fernandez-Aranda, Fernando, Treasure, Janet, Linardon, Jake, Vasa, Venkata Rajesh and Shatte, Adrian 2020, State-based markers of disordered eating symptom severity, Journal of clinical medicine, vol. 9, no. 6, pp. 1-13, doi: 10.3390/jcm9061948. Attached Files Name Description MIMEType Size Downloads Title State-based markers of disordered eating symptom severity Author(s) Fuller-Tyszkiewicz, Matthew orcid.org/0000-0003-1145-6057 Krug, Isabel Smyth, Joshua .M Fernandez-Aranda, Fernando Treasure, Janet Linardon, Jake orcid.org/0000-0003-4475-7139 Vasa, Venkata Rajesh orcid.org/0000-0003-4805-1467 Shatte, Adrian orcid.org/0000-0002-6225-9697 Journal name Journal of clinical medicine Volume number 9 Issue number 6 Article ID 1948 Start page 1 End page 13 Total pages 13 Publisher MDPI Place of publication Basel, Switzerland Publication date 2020 ISSN 2077-0383 2077-0383 Keyword(s) disordered eating ecological momentary assessment experience sampling state body image within-person dynamics Summary 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. Language eng DOI 10.3390/jcm9061948 Indigenous content off HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30139404 Document type: Journal Article Collections: Faculty of Health School of Psychology Open Access Collection Related Links Link Description Link to full-text (open access)     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 29 Jun 2020, 11:39:31 EST Tue, 30 Jun 2020, 05:00:21 EST Tue, 30 Jun 2020, 08:07:24 EST Tue, 14 Jul 2020, 09:13:02 EST Wed, 15 Jul 2020, 06:03:27 EST Thu, 16 Jul 2020, 08:51:29 EST Thu, 16 Jul 2020, 08:54:46 EST Thu, 16 Jul 2020, 08:55:26 EST Sat, 01 Aug 2020, 02:31:05 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 87 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 14 Jul 2020, 09:13:02 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.