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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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 |
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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 |
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