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The effect of prolonged closed-loop management on athletes’ sleep and mood during COVID-19 pandemic: Evidence from the 2022 Shanghai Omicron Wave
Closed-loop management of athletes at the training base is a compromise approach that balanced epidemic prevention and sports training during the COVID-19 pandemic. This study investigated the impact of prolonged closed-loop management on athletes’ sleep and mood during the 2022 Shanghai Omicron wav...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118198/ https://www.ncbi.nlm.nih.gov/pubmed/37079590 http://dx.doi.org/10.1371/journal.pone.0284858 |
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author | Tan, Chenhao Wang, Jinhao Yin, Jun Cao, Guohuan Cao, Lu Chen, Chao Qiu, Jun |
author_facet | Tan, Chenhao Wang, Jinhao Yin, Jun Cao, Guohuan Cao, Lu Chen, Chao Qiu, Jun |
author_sort | Tan, Chenhao |
collection | PubMed |
description | Closed-loop management of athletes at the training base is a compromise approach that balanced epidemic prevention and sports training during the COVID-19 pandemic. This study investigated the impact of prolonged closed-loop management on athletes’ sleep and mood during the 2022 Shanghai Omicron wave. The Pittsburgh Sleep Quality Index and the Profile of Mood States were used to assess the sleep and mood states of 110 professional athletes in "closed-loop management" at the training base after 1 and 2 months of closed-loop management, respectively, to characterize changes in sleep and mood with prolonged closed-loop management. After two months of control, the sleep and mood of 69 athletes and students of the same age were measured using the Pittsburgh Sleep Quality Index and Perceptual Stress Scale, as well as the Warwick-Edinburgh Mental Well-being Scale, to compare the differences in sleep and mood between athletes undergoing closed-loop management and the general population who were managed in the community. Paired sample t-tests and independent sample t-tests were used for comparisons across different time intervals and different management approaches. Results showed that with the time of closed-loop management increased, athletes woke up earlier (p = 0.002), slept less (p = 0.024), and became angrier (p = 0.014); athletes had poorer overall sleep quality (p < 0.001) but lower stress level (p = 0.004) than those who were outside the base. In closed-loop management, the athletes were able to maintain a stable sleep and mood state. Sports team administrators must be aware of the need to improve athletes’ sleep quality and help athletes to agree with this approach of management. |
format | Online Article Text |
id | pubmed-10118198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-101181982023-04-21 The effect of prolonged closed-loop management on athletes’ sleep and mood during COVID-19 pandemic: Evidence from the 2022 Shanghai Omicron Wave Tan, Chenhao Wang, Jinhao Yin, Jun Cao, Guohuan Cao, Lu Chen, Chao Qiu, Jun PLoS One Research Article Closed-loop management of athletes at the training base is a compromise approach that balanced epidemic prevention and sports training during the COVID-19 pandemic. This study investigated the impact of prolonged closed-loop management on athletes’ sleep and mood during the 2022 Shanghai Omicron wave. The Pittsburgh Sleep Quality Index and the Profile of Mood States were used to assess the sleep and mood states of 110 professional athletes in "closed-loop management" at the training base after 1 and 2 months of closed-loop management, respectively, to characterize changes in sleep and mood with prolonged closed-loop management. After two months of control, the sleep and mood of 69 athletes and students of the same age were measured using the Pittsburgh Sleep Quality Index and Perceptual Stress Scale, as well as the Warwick-Edinburgh Mental Well-being Scale, to compare the differences in sleep and mood between athletes undergoing closed-loop management and the general population who were managed in the community. Paired sample t-tests and independent sample t-tests were used for comparisons across different time intervals and different management approaches. Results showed that with the time of closed-loop management increased, athletes woke up earlier (p = 0.002), slept less (p = 0.024), and became angrier (p = 0.014); athletes had poorer overall sleep quality (p < 0.001) but lower stress level (p = 0.004) than those who were outside the base. In closed-loop management, the athletes were able to maintain a stable sleep and mood state. Sports team administrators must be aware of the need to improve athletes’ sleep quality and help athletes to agree with this approach of management. Public Library of Science 2023-04-20 /pmc/articles/PMC10118198/ /pubmed/37079590 http://dx.doi.org/10.1371/journal.pone.0284858 Text en © 2023 Tan et al 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/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Tan, Chenhao Wang, Jinhao Yin, Jun Cao, Guohuan Cao, Lu Chen, Chao Qiu, Jun The effect of prolonged closed-loop management on athletes’ sleep and mood during COVID-19 pandemic: Evidence from the 2022 Shanghai Omicron Wave |
title | The effect of prolonged closed-loop management on athletes’ sleep and mood during COVID-19 pandemic: Evidence from the 2022 Shanghai Omicron Wave |
title_full | The effect of prolonged closed-loop management on athletes’ sleep and mood during COVID-19 pandemic: Evidence from the 2022 Shanghai Omicron Wave |
title_fullStr | The effect of prolonged closed-loop management on athletes’ sleep and mood during COVID-19 pandemic: Evidence from the 2022 Shanghai Omicron Wave |
title_full_unstemmed | The effect of prolonged closed-loop management on athletes’ sleep and mood during COVID-19 pandemic: Evidence from the 2022 Shanghai Omicron Wave |
title_short | The effect of prolonged closed-loop management on athletes’ sleep and mood during COVID-19 pandemic: Evidence from the 2022 Shanghai Omicron Wave |
title_sort | effect of prolonged closed-loop management on athletes’ sleep and mood during covid-19 pandemic: evidence from the 2022 shanghai omicron wave |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118198/ https://www.ncbi.nlm.nih.gov/pubmed/37079590 http://dx.doi.org/10.1371/journal.pone.0284858 |
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