Predicting Youth Athlete Sleep Quality and the Development of a Translational Tool to Inform Practitioner Decision Making.

Suppiah, Haresh T; Swinbourne, Richard; Wee, Jericho; He, Qixiang; Pion, Johan; Driller, Matthew W; Gastin, Paul B; Carey, David L

Suppiah, Haresh T; Swinbourne, Richard; Wee, Jericho; He, Qixiang; Pion, Johan; Driller, Matthew W; Gastin, Paul B; Carey, David L.

Afiliación

Suppiah HT; Sport and Exercise Science, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia.
Swinbourne R; National Youth Sports Institute, Singapore.
Wee J; Singapore Sport Institute, Singapore.
He Q; National Youth Sports Institute, Singapore.
Pion J; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Driller MW; National Youth Sports Institute, Singapore.
Gastin PB; Nanyang Technological University, Singapore.
Carey DL; HAN University of Applied Sciences, Arnhem, Netherlands.

Sports Health ; 14(1): 77-83, 2022.

Article en En | MEDLINE | ID: mdl-34751069

Asunto(s)

Calidad del Sueño; Deportes; Adolescente; Atletas; Estudios Transversales; Toma de Decisiones; Humanos

Palabras clave

feature reduction; machine learning; nomogram; sleep quality; youth athletes

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Deportes / Calidad del Sueño Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Humans Idioma: En Revista: Sports Health Año: 2022 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Estados Unidos

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