Psychological Risk Indicators of Disordered Eating in Athletes

Hannah Stoyel; Vaithehy Shanmuganathan-Felton; Caroline Meyer; Lucy Serpell

doi:10.1371/journal.pone.0232979

Psychological Risk Indicators of Disordered Eating in Athletes

Hannah Stoyel, Vaithehy Shanmuganathan-Felton, Caroline Meyer, Lucy Serpell

School of Life and Health Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

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 (χ2 [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 (χ2 [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.

Original language	English
Journal	PLoS One
DOIs	https://doi.org/10.1371/journal.pone.0232979
Publication status	Published - 14 May 2020

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Cite this

@article{b90410e13c74490b8dd527b2e0b70235,

title = "Psychological Risk Indicators of Disordered Eating in Athletes",

abstract = "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 (χ2 [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 (χ2 [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. ",

author = "Hannah Stoyel and Vaithehy Shanmuganathan-Felton and Caroline Meyer and Lucy Serpell",

year = "2020",

month = may,

day = "14",

doi = "10.1371/journal.pone.0232979",

language = "English",

journal = "PLoS One",

issn = "1932-6203",

publisher = "Public Library of Science",

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AU - Stoyel, Hannah

AU - Shanmuganathan-Felton, Vaithehy

AU - Meyer, Caroline

AU - Serpell, Lucy

PY - 2020/5/14

Y1 - 2020/5/14

N2 - 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 (χ2 [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 (χ2 [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.

AB - 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 (χ2 [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 (χ2 [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.

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