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Objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union

BACKGROUND: Growing evidence highlights that elite rugby union players experience poor sleep quality and quantity which can be detrimental for performance. OBJECTIVES: This study aimed to i) compare objective sleep measures of rugby union players between age categories over a one week period, and ii...

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Autores principales: Leduc, C, Tee, J, Phibbs, P, Read, D, Ramirez, C, Sawczuk, T, Weaving, D, Jones, B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: South African Sports Medicine Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924602/
https://www.ncbi.nlm.nih.gov/pubmed/36818989
http://dx.doi.org/10.17159/2078-516X/2020/v32i1a8456
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author Leduc, C
Tee, J
Phibbs, P
Read, D
Ramirez, C
Sawczuk, T
Weaving, D
Jones, B
author_facet Leduc, C
Tee, J
Phibbs, P
Read, D
Ramirez, C
Sawczuk, T
Weaving, D
Jones, B
author_sort Leduc, C
collection PubMed
description BACKGROUND: Growing evidence highlights that elite rugby union players experience poor sleep quality and quantity which can be detrimental for performance. OBJECTIVES: This study aimed to i) compare objective sleep measures of rugby union players between age categories over a one week period, and ii) compare self-reported measures of sleep to wristwatch actigraphy as the criterion. METHODS: Two hundred and fifty-three nights of sleep were recorded from 38 players representing four different age groups (i.e. under 16, under 18, senior academy, elite senior) in a professional rugby union club in the United Kingdom (UK). Linear mixed models and magnitude-based decisions were used for analysis. RESULTS: The analysis of sleep schedules showed that U16 players went to bed and woke up later than their older counterparts (small differences). In general, players obtained seven hours of sleep per night, with trivial or unclear differences between age groups. The validity analysis highlighted a large relationship between objective and subjective sleep measures for bedtime (r = 0.56 [0.48 to 0.63]), and get up time (r = 0.70 [0.63 to 0.75]). A large standardised typical error (1.50 [1.23 to 1.88]) was observed for total sleep time. CONCLUSION: This study highlights that differences exist in sleep schedules between rugby union players in different age categories that should be considered when planning training. Additionally, self-reported measures overestimated sleep parameters. Coaches should consider these results to optimise sleep habits of their players and should be careful with self-reported sleep measures.
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spelling pubmed-99246022023-02-16 Objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union Leduc, C Tee, J Phibbs, P Read, D Ramirez, C Sawczuk, T Weaving, D Jones, B S Afr J Sports Med Original Research BACKGROUND: Growing evidence highlights that elite rugby union players experience poor sleep quality and quantity which can be detrimental for performance. OBJECTIVES: This study aimed to i) compare objective sleep measures of rugby union players between age categories over a one week period, and ii) compare self-reported measures of sleep to wristwatch actigraphy as the criterion. METHODS: Two hundred and fifty-three nights of sleep were recorded from 38 players representing four different age groups (i.e. under 16, under 18, senior academy, elite senior) in a professional rugby union club in the United Kingdom (UK). Linear mixed models and magnitude-based decisions were used for analysis. RESULTS: The analysis of sleep schedules showed that U16 players went to bed and woke up later than their older counterparts (small differences). In general, players obtained seven hours of sleep per night, with trivial or unclear differences between age groups. The validity analysis highlighted a large relationship between objective and subjective sleep measures for bedtime (r = 0.56 [0.48 to 0.63]), and get up time (r = 0.70 [0.63 to 0.75]). A large standardised typical error (1.50 [1.23 to 1.88]) was observed for total sleep time. CONCLUSION: This study highlights that differences exist in sleep schedules between rugby union players in different age categories that should be considered when planning training. Additionally, self-reported measures overestimated sleep parameters. Coaches should consider these results to optimise sleep habits of their players and should be careful with self-reported sleep measures. South African Sports Medicine Association 2020-01-01 /pmc/articles/PMC9924602/ /pubmed/36818989 http://dx.doi.org/10.17159/2078-516X/2020/v32i1a8456 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Leduc, C
Tee, J
Phibbs, P
Read, D
Ramirez, C
Sawczuk, T
Weaving, D
Jones, B
Objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union
title Objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union
title_full Objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union
title_fullStr Objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union
title_full_unstemmed Objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union
title_short Objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union
title_sort objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924602/
https://www.ncbi.nlm.nih.gov/pubmed/36818989
http://dx.doi.org/10.17159/2078-516X/2020/v32i1a8456
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