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Sleep Regularity and Predictors of Sleep Efficiency and Sleep Duration in Elite Team Sport Athletes

BACKGROUND: Many elite athletes have suboptimal sleep duration and efficiency, potentially due to factors that may impact sleep onset and offset times. Variability in sleep onset and offset may negatively influence sleep. The sleep regularity index (SRI) is a novel metric for sleep regularity, howev...

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Autores principales: Halson, Shona L., Johnston, Rich D., Piromalli, Laura, Lalor, Benita J., Cormack, Stuart, Roach, Gregory D., Sargent, Charli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206056/
https://www.ncbi.nlm.nih.gov/pubmed/35713743
http://dx.doi.org/10.1186/s40798-022-00470-7
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author Halson, Shona L.
Johnston, Rich D.
Piromalli, Laura
Lalor, Benita J.
Cormack, Stuart
Roach, Gregory D.
Sargent, Charli
author_facet Halson, Shona L.
Johnston, Rich D.
Piromalli, Laura
Lalor, Benita J.
Cormack, Stuart
Roach, Gregory D.
Sargent, Charli
author_sort Halson, Shona L.
collection PubMed
description BACKGROUND: Many elite athletes have suboptimal sleep duration and efficiency, potentially due to factors that may impact sleep onset and offset times. Variability in sleep onset and offset may negatively influence sleep. The sleep regularity index (SRI) is a novel metric for sleep regularity, however there are no published descriptions of SRI in elite athletes. Further, contributors to sleep efficiency and duration in elite athletes using objective measures have not been explored. METHODS: Sleep was monitored over a minimum of seven consecutive days (7 to 43)—in 203 elite team sport athletes (age range = 19–36 years; female, n = 79; male, n = 124, total sleep nights = 1975) using activity monitoring and sleep diaries. The sleep regularity index (SRI) was calculated to reflect the night-to-night shifts in sleep by accounting for changes in sleep onset and sleep offset. Sleep characteristics were compared between regular and irregular sleepers and important contributors to sleep efficiency and total sleep time were assessed using multiple linear regression models. RESULTS: The median sleep regularity index and interquartile range were 85.1 (81.4 to 88.8). When compared to irregular sleepers, regular sleepers demonstrated (1) significantly greater sleep efficiency (p = 0.006; 0.31 medium effect size [ES]), (2) significantly less variability in total sleep time (− p ≤ 0.001; − 0.69, large ES) and sleep efficiency (− 0.34, small ES), (3) similar total sleep time and (4) significantly less variation in sleep onset (p ≤ 0.001; − 0.73, large ES) and offset (p ≤ 0.001; − 0.74, large ES) times. Sleep characteristics explained 73% and 22% of the variance in total sleep time and sleep efficiency, respectively. The most important contributor to total sleep time was a later sleep offset time, while the most important contributors to sleep efficiency were an earlier bedtime and less variable sleep onset times. CONCLUSIONS: Bedtime and a consistent sleep onset time are important factors associated with sleep efficiency in athletes, while sleep offset is an important factor for total sleep time. Coaches and staff can assist their athletes by providing training schedules that allow for both regularity and sufficiency of time in bed where possible.
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spelling pubmed-92060562022-06-19 Sleep Regularity and Predictors of Sleep Efficiency and Sleep Duration in Elite Team Sport Athletes Halson, Shona L. Johnston, Rich D. Piromalli, Laura Lalor, Benita J. Cormack, Stuart Roach, Gregory D. Sargent, Charli Sports Med Open Original Research Article BACKGROUND: Many elite athletes have suboptimal sleep duration and efficiency, potentially due to factors that may impact sleep onset and offset times. Variability in sleep onset and offset may negatively influence sleep. The sleep regularity index (SRI) is a novel metric for sleep regularity, however there are no published descriptions of SRI in elite athletes. Further, contributors to sleep efficiency and duration in elite athletes using objective measures have not been explored. METHODS: Sleep was monitored over a minimum of seven consecutive days (7 to 43)—in 203 elite team sport athletes (age range = 19–36 years; female, n = 79; male, n = 124, total sleep nights = 1975) using activity monitoring and sleep diaries. The sleep regularity index (SRI) was calculated to reflect the night-to-night shifts in sleep by accounting for changes in sleep onset and sleep offset. Sleep characteristics were compared between regular and irregular sleepers and important contributors to sleep efficiency and total sleep time were assessed using multiple linear regression models. RESULTS: The median sleep regularity index and interquartile range were 85.1 (81.4 to 88.8). When compared to irregular sleepers, regular sleepers demonstrated (1) significantly greater sleep efficiency (p = 0.006; 0.31 medium effect size [ES]), (2) significantly less variability in total sleep time (− p ≤ 0.001; − 0.69, large ES) and sleep efficiency (− 0.34, small ES), (3) similar total sleep time and (4) significantly less variation in sleep onset (p ≤ 0.001; − 0.73, large ES) and offset (p ≤ 0.001; − 0.74, large ES) times. Sleep characteristics explained 73% and 22% of the variance in total sleep time and sleep efficiency, respectively. The most important contributor to total sleep time was a later sleep offset time, while the most important contributors to sleep efficiency were an earlier bedtime and less variable sleep onset times. CONCLUSIONS: Bedtime and a consistent sleep onset time are important factors associated with sleep efficiency in athletes, while sleep offset is an important factor for total sleep time. Coaches and staff can assist their athletes by providing training schedules that allow for both regularity and sufficiency of time in bed where possible. Springer International Publishing 2022-06-17 /pmc/articles/PMC9206056/ /pubmed/35713743 http://dx.doi.org/10.1186/s40798-022-00470-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research Article
Halson, Shona L.
Johnston, Rich D.
Piromalli, Laura
Lalor, Benita J.
Cormack, Stuart
Roach, Gregory D.
Sargent, Charli
Sleep Regularity and Predictors of Sleep Efficiency and Sleep Duration in Elite Team Sport Athletes
title Sleep Regularity and Predictors of Sleep Efficiency and Sleep Duration in Elite Team Sport Athletes
title_full Sleep Regularity and Predictors of Sleep Efficiency and Sleep Duration in Elite Team Sport Athletes
title_fullStr Sleep Regularity and Predictors of Sleep Efficiency and Sleep Duration in Elite Team Sport Athletes
title_full_unstemmed Sleep Regularity and Predictors of Sleep Efficiency and Sleep Duration in Elite Team Sport Athletes
title_short Sleep Regularity and Predictors of Sleep Efficiency and Sleep Duration in Elite Team Sport Athletes
title_sort sleep regularity and predictors of sleep efficiency and sleep duration in elite team sport athletes
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206056/
https://www.ncbi.nlm.nih.gov/pubmed/35713743
http://dx.doi.org/10.1186/s40798-022-00470-7
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