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Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics
PURPOSE: This systematic review aimed to describe objective sleep parameters for athletes under different conditions and address potential sleep issues in this specific population. METHODS: PubMed and Scopus were searched from inception to April 2019. Included studies measured sleep only via objecti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai University of Sport
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343120/ https://www.ncbi.nlm.nih.gov/pubmed/32325024 http://dx.doi.org/10.1016/j.jshs.2020.03.006 |
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author | Vlahoyiannis, Angelos Aphamis, George Bogdanis, Gregory C. Sakkas, Giorgos K. Andreou, Eleni Giannaki, Christoforos D. |
author_facet | Vlahoyiannis, Angelos Aphamis, George Bogdanis, Gregory C. Sakkas, Giorgos K. Andreou, Eleni Giannaki, Christoforos D. |
author_sort | Vlahoyiannis, Angelos |
collection | PubMed |
description | PURPOSE: This systematic review aimed to describe objective sleep parameters for athletes under different conditions and address potential sleep issues in this specific population. METHODS: PubMed and Scopus were searched from inception to April 2019. Included studies measured sleep only via objective evaluation tools such as polysomnography or actigraphy. The modified version of the Newcastle–Ottawa Scale was used for the quality assessment of the studies. RESULTS: Eighty-one studies were included, of which 56 were classified as medium quality, 5 studies as low quality, and 20 studies as high quality. A total of 1830 athletes were monitored over 18,958 nights. Average values for sleep-related parameters were calculated for all athletes according to sex, age, athletic expertise level, training season, and type of sport. Athletes slept on average 7.2 ± 1.1 h/night (mean ± SD), with 86.3% ± 6.8% sleep efficiency (SE). In all datasets, the athletes’ mean total sleep time was <8 h. SE was low for young athletes (80.3% ± 8.8%). Reduced SE was attributed to high wake after sleep onset rather than sleep onset latency. During heavy training periods, sleep duration and SE were on average 36 min and 0.8% less compared to pre-season and 42 min and 3.0% less compared to in-season training periods, respectively. CONCLUSION: Athletes’ sleep duration was found to be short with low SE, in comparison to the general consensus for non-athlete healthy adults. Notable sleep issues were revealed in young athletes. Sleep quality and architecture tend to change across different training periods. |
format | Online Article Text |
id | pubmed-8343120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Shanghai University of Sport |
record_format | MEDLINE/PubMed |
spelling | pubmed-83431202021-08-11 Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics Vlahoyiannis, Angelos Aphamis, George Bogdanis, Gregory C. Sakkas, Giorgos K. Andreou, Eleni Giannaki, Christoforos D. J Sport Health Sci Review PURPOSE: This systematic review aimed to describe objective sleep parameters for athletes under different conditions and address potential sleep issues in this specific population. METHODS: PubMed and Scopus were searched from inception to April 2019. Included studies measured sleep only via objective evaluation tools such as polysomnography or actigraphy. The modified version of the Newcastle–Ottawa Scale was used for the quality assessment of the studies. RESULTS: Eighty-one studies were included, of which 56 were classified as medium quality, 5 studies as low quality, and 20 studies as high quality. A total of 1830 athletes were monitored over 18,958 nights. Average values for sleep-related parameters were calculated for all athletes according to sex, age, athletic expertise level, training season, and type of sport. Athletes slept on average 7.2 ± 1.1 h/night (mean ± SD), with 86.3% ± 6.8% sleep efficiency (SE). In all datasets, the athletes’ mean total sleep time was <8 h. SE was low for young athletes (80.3% ± 8.8%). Reduced SE was attributed to high wake after sleep onset rather than sleep onset latency. During heavy training periods, sleep duration and SE were on average 36 min and 0.8% less compared to pre-season and 42 min and 3.0% less compared to in-season training periods, respectively. CONCLUSION: Athletes’ sleep duration was found to be short with low SE, in comparison to the general consensus for non-athlete healthy adults. Notable sleep issues were revealed in young athletes. Sleep quality and architecture tend to change across different training periods. Shanghai University of Sport 2021-07 2020-03-19 /pmc/articles/PMC8343120/ /pubmed/32325024 http://dx.doi.org/10.1016/j.jshs.2020.03.006 Text en © 2021 Published by Elsevier B.V. on behalf of Shanghai University of Sport. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Vlahoyiannis, Angelos Aphamis, George Bogdanis, Gregory C. Sakkas, Giorgos K. Andreou, Eleni Giannaki, Christoforos D. Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics |
title | Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics |
title_full | Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics |
title_fullStr | Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics |
title_full_unstemmed | Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics |
title_short | Deconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics |
title_sort | deconstructing athletes’ sleep: a systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343120/ https://www.ncbi.nlm.nih.gov/pubmed/32325024 http://dx.doi.org/10.1016/j.jshs.2020.03.006 |
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