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严重 COVID-19 结局 - 体力活动的作用。

Severe COVID-19 outcomes - the role of physical activity.

机构信息

VITAM - Centre de recherche en santé durable, CIUSSS de la Capitale-Nationale, Québec, Québec, Canada.

Department of Kinesiology, Faculty of Medicine, Université Laval, Québec, Québec, Canada.

出版信息

Nat Rev Endocrinol. 2021 Aug;17(8):451-452. doi: 10.1038/s41574-021-00521-1.

DOI:10.1038/s41574-021-00521-1
PMID:34112985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8191438/
Abstract

COVID-19 has been described as a syndemic of COVID-19 and chronic diseases. Obesity has been identified as a contributing factor to morbidity and mortality associated with COVID-19; however, sedentary behaviours and lack of physical activity should also be targeted by health authorities to reduce the risk of severe COVID-19 outcomes.

摘要

COVID-19 被描述为 COVID-19 和慢性病的综合征。肥胖已被确定为与 COVID-19 相关发病率和死亡率的一个促成因素；然而，卫生当局也应该针对久坐行为和缺乏身体活动来降低严重 COVID-19 结局的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/8191438/f7a7e4c8b9be/41574_2021_521_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/8191438/f7a7e4c8b9be/41574_2021_521_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/8191438/f7a7e4c8b9be/41574_2021_521_Fig1_HTML.jpg

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在新冠疫情期间提高运动参与度：怀旧的缓冲作用。
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Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices.使用无监督机器学习研究通过“我的心脏计数”应用程序和智能设备测量的新冠病毒疾病症状及身体活动的轨迹模式。
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An investigation into exercise prescription post-COVID-19 pandemic amongst Non-Consultant Hospital Doctors in an acute hospital setting.探讨大流行后 COVID-19 期间急性医院环境中非顾问医院医生的运动处方。
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