Cargando…

Psychological risk indicators of disordered eating in athletes

OBJECTIVES: This project examined risk factors of disordered eating in athletes by adapting and applying a theoretical model. It tested a previously proposed theoretical model and explored the utility of a newly formed model within an athletic population across gender, age, and sport type to explain...

Descripción completa

Detalles Bibliográficos
Autores principales: Stoyel, Hannah, Shanmuganathan-Felton, Vaithehy, Meyer, Caroline, Serpell, Lucy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224458/
https://www.ncbi.nlm.nih.gov/pubmed/32407345
http://dx.doi.org/10.1371/journal.pone.0232979
_version_ 1783533902684487680
author Stoyel, Hannah
Shanmuganathan-Felton, Vaithehy
Meyer, Caroline
Serpell, Lucy
author_facet Stoyel, Hannah
Shanmuganathan-Felton, Vaithehy
Meyer, Caroline
Serpell, Lucy
author_sort Stoyel, Hannah
collection PubMed
description OBJECTIVES: This project examined risk factors of disordered eating in athletes by adapting and applying a theoretical model. It tested a previously proposed theoretical model and explored the utility of a newly formed model within an athletic population across gender, age, and sport type to explain disordered eating. DESIGN: The design was cross-sectional and the first phase in a series of longitudinal studies. METHODS: 1,017 athletes completed online questionnaires related to social pressures, internalisation, body dissatisfaction, negative affect, restriction, and bulimia. Structural equation modelling was employed to analyse the fit of the measurement and structural models and to do invariance testing. RESULTS: The original theoretical model failed to achieve acceptable goodness of fit (χ(2) [70, 1017] = 1043.07; p < .0001. CFI = .55; GFI = .88; NFI = .53; RMSEA = .12 [90% CI = .111-.123]). Removal of non-significant pathways and addition of social media resulted in the model achieving a parsimonious goodness of fit (χ(2) [19, 1017] = 77.58; p < .0001. CFI = .96; GFI = .98; NFI = .95; RMSEA = .055 [90% CI = .043-.068]). Invariance tests revealed that the newly revised model differed across gender, age, level, competition status, and length of sport participation. CONCLUSION: This study showed that the formation of disordered eating symptomology might not be associated with sport pressures experienced by athletes. It revealed that disordered eating development varies across gender, competition level, sport type, and age, which must be considered to prevent and treat disordered eating in athletes.
format Online
Article
Text
id pubmed-7224458
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-72244582020-06-01 Psychological risk indicators of disordered eating in athletes Stoyel, Hannah Shanmuganathan-Felton, Vaithehy Meyer, Caroline Serpell, Lucy PLoS One Research Article OBJECTIVES: This project examined risk factors of disordered eating in athletes by adapting and applying a theoretical model. It tested a previously proposed theoretical model and explored the utility of a newly formed model within an athletic population across gender, age, and sport type to explain disordered eating. DESIGN: The design was cross-sectional and the first phase in a series of longitudinal studies. METHODS: 1,017 athletes completed online questionnaires related to social pressures, internalisation, body dissatisfaction, negative affect, restriction, and bulimia. Structural equation modelling was employed to analyse the fit of the measurement and structural models and to do invariance testing. RESULTS: The original theoretical model failed to achieve acceptable goodness of fit (χ(2) [70, 1017] = 1043.07; p < .0001. CFI = .55; GFI = .88; NFI = .53; RMSEA = .12 [90% CI = .111-.123]). Removal of non-significant pathways and addition of social media resulted in the model achieving a parsimonious goodness of fit (χ(2) [19, 1017] = 77.58; p < .0001. CFI = .96; GFI = .98; NFI = .95; RMSEA = .055 [90% CI = .043-.068]). Invariance tests revealed that the newly revised model differed across gender, age, level, competition status, and length of sport participation. CONCLUSION: This study showed that the formation of disordered eating symptomology might not be associated with sport pressures experienced by athletes. It revealed that disordered eating development varies across gender, competition level, sport type, and age, which must be considered to prevent and treat disordered eating in athletes. Public Library of Science 2020-05-14 /pmc/articles/PMC7224458/ /pubmed/32407345 http://dx.doi.org/10.1371/journal.pone.0232979 Text en © 2020 Stoyel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Stoyel, Hannah
Shanmuganathan-Felton, Vaithehy
Meyer, Caroline
Serpell, Lucy
Psychological risk indicators of disordered eating in athletes
title Psychological risk indicators of disordered eating in athletes
title_full Psychological risk indicators of disordered eating in athletes
title_fullStr Psychological risk indicators of disordered eating in athletes
title_full_unstemmed Psychological risk indicators of disordered eating in athletes
title_short Psychological risk indicators of disordered eating in athletes
title_sort psychological risk indicators of disordered eating in athletes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224458/
https://www.ncbi.nlm.nih.gov/pubmed/32407345
http://dx.doi.org/10.1371/journal.pone.0232979
work_keys_str_mv AT stoyelhannah psychologicalriskindicatorsofdisorderedeatinginathletes
AT shanmuganathanfeltonvaithehy psychologicalriskindicatorsofdisorderedeatinginathletes
AT meyercaroline psychologicalriskindicatorsofdisorderedeatinginathletes
AT serpelllucy psychologicalriskindicatorsofdisorderedeatinginathletes