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PA during the COVID-19 outbreak in China: a cross-sectional study

COVID-19 has undergone several mutations and is still spreading in most countries now. PA has positive benefits in the prevention of COVID-19 infection and counteracting the negative physical and mental effects caused by COVID-19. However, relevant evidence has indicated a high prevalence of physica...

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Autores principales: Nie, Yingjun, Ma, Yuanyan, Li, Xiaodong, Wu, Yankong, Liu, Weixin, Tan, Zhenke, Li, Jiahui, Zhang, Ce, Lv, Chennan, Liu, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485310/
https://www.ncbi.nlm.nih.gov/pubmed/34611383
http://dx.doi.org/10.1007/s00521-021-06538-x
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author Nie, Yingjun
Ma, Yuanyan
Li, Xiaodong
Wu, Yankong
Liu, Weixin
Tan, Zhenke
Li, Jiahui
Zhang, Ce
Lv, Chennan
Liu, Ting
author_facet Nie, Yingjun
Ma, Yuanyan
Li, Xiaodong
Wu, Yankong
Liu, Weixin
Tan, Zhenke
Li, Jiahui
Zhang, Ce
Lv, Chennan
Liu, Ting
author_sort Nie, Yingjun
collection PubMed
description COVID-19 has undergone several mutations and is still spreading in most countries now. PA has positive benefits in the prevention of COVID-19 infection and counteracting the negative physical and mental effects caused by COVID-19. However, relevant evidence has indicated a high prevalence of physical inactivity among the general population, which has worsened due to the outbreak of the pandemic, and there is a severe lack of exercise guidance and mitigation strategies to advance the knowledge and role of PA to improve physical and mental health in most countries during the epidemic. This study surveyed the effects of COVID-19 on PA in Chinese residents during the pandemic and provided important reference and evidence to inform policymakers and formulate policies and planning for health promotion and strengthening residents’ PA during periods of public health emergencies. ANOVA, Kolmogorov–Smirnov, the chi-square test and Spearman correlation analysis were used for statistical analysis. A total of 14,715 participants were included. The results show that nearly 70% of Chinese residents had inadequate PA (95%CI 58.0%–82.19%) during the COVID-19 outbreak, which was more than double the global level (27.5%, 95%CI 25.0%–32.2%). The content, intensity, duration, and frequency of PA were all affected during the period of home isolation, and the types of PA may vary among different ages. The lack of physical facilities and cultural environment is the main factor affecting PA. However, there was no significant correlation between insufficient PA and the infection rate. During the period of home isolation and social distance of epidemic prevention, it is necessary to strengthen the scientific remote network monitoring and guidance for the process of PA in China.
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spelling pubmed-84853102021-10-01 PA during the COVID-19 outbreak in China: a cross-sectional study Nie, Yingjun Ma, Yuanyan Li, Xiaodong Wu, Yankong Liu, Weixin Tan, Zhenke Li, Jiahui Zhang, Ce Lv, Chennan Liu, Ting Neural Comput Appl S.I. :IoT-based Health Monitoring System COVID-19 has undergone several mutations and is still spreading in most countries now. PA has positive benefits in the prevention of COVID-19 infection and counteracting the negative physical and mental effects caused by COVID-19. However, relevant evidence has indicated a high prevalence of physical inactivity among the general population, which has worsened due to the outbreak of the pandemic, and there is a severe lack of exercise guidance and mitigation strategies to advance the knowledge and role of PA to improve physical and mental health in most countries during the epidemic. This study surveyed the effects of COVID-19 on PA in Chinese residents during the pandemic and provided important reference and evidence to inform policymakers and formulate policies and planning for health promotion and strengthening residents’ PA during periods of public health emergencies. ANOVA, Kolmogorov–Smirnov, the chi-square test and Spearman correlation analysis were used for statistical analysis. A total of 14,715 participants were included. The results show that nearly 70% of Chinese residents had inadequate PA (95%CI 58.0%–82.19%) during the COVID-19 outbreak, which was more than double the global level (27.5%, 95%CI 25.0%–32.2%). The content, intensity, duration, and frequency of PA were all affected during the period of home isolation, and the types of PA may vary among different ages. The lack of physical facilities and cultural environment is the main factor affecting PA. However, there was no significant correlation between insufficient PA and the infection rate. During the period of home isolation and social distance of epidemic prevention, it is necessary to strengthen the scientific remote network monitoring and guidance for the process of PA in China. Springer London 2021-10-01 2023 /pmc/articles/PMC8485310/ /pubmed/34611383 http://dx.doi.org/10.1007/s00521-021-06538-x Text en © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle S.I. :IoT-based Health Monitoring System
Nie, Yingjun
Ma, Yuanyan
Li, Xiaodong
Wu, Yankong
Liu, Weixin
Tan, Zhenke
Li, Jiahui
Zhang, Ce
Lv, Chennan
Liu, Ting
PA during the COVID-19 outbreak in China: a cross-sectional study
title PA during the COVID-19 outbreak in China: a cross-sectional study
title_full PA during the COVID-19 outbreak in China: a cross-sectional study
title_fullStr PA during the COVID-19 outbreak in China: a cross-sectional study
title_full_unstemmed PA during the COVID-19 outbreak in China: a cross-sectional study
title_short PA during the COVID-19 outbreak in China: a cross-sectional study
title_sort pa during the covid-19 outbreak in china: a cross-sectional study
topic S.I. :IoT-based Health Monitoring System
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485310/
https://www.ncbi.nlm.nih.gov/pubmed/34611383
http://dx.doi.org/10.1007/s00521-021-06538-x
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