新冠肺炎在中国爆发期间的PA:一项横断面研究。

IF 4.5 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Neural Computing & Applications Pub Date : 2023-01-01 Epub Date: 2021-10-01 DOI:10.1007/s00521-021-06538-x
Yingjun Nie, Yuanyan Ma, Xiaodong Li, Yankong Wu, Weixin Liu, Zhenke Tan, Jiahui Li, Ce Zhang, Chennan Lv, Ting Liu
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引用次数: 2

摘要

新冠肺炎已经发生了几次变异,目前仍在大多数国家传播。PA在预防新冠肺炎感染和抵消新冠肺炎造成的负面身心影响方面具有积极益处。然而,相关证据表明,普通人群中缺乏体育活动的比例很高,由于疫情的爆发,这种情况有所恶化,而且在疫情期间,大多数国家严重缺乏锻炼指导和缓解策略来提高PA的知识和作用,以改善身心健康。本研究调查了疫情期间新冠肺炎对我国居民PA的影响,为突发公共卫生事件期间决策者制定健康促进和加强居民PA的政策和规划提供了重要参考和依据。采用方差分析、Kolmogorov-Smirnov、卡方检验和Spearman相关分析进行统计分析。共有14715名参与者参加。结果显示,新冠肺炎暴发期间,近70%的中国居民PA不足(95%CI 58.0%-82.19%),是全球水平(27.5%,95%CI 25.0%-32.2%)的两倍多。物理设施和文化环境的缺乏是影响PA的主要因素。然而,PA不足与感染率没有显著相关性。在居家隔离和防疫社交距离期间,有必要加强对中国PA过程的科学远程网络监测和指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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 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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来源期刊
Neural Computing & Applications
Neural Computing & Applications 工程技术-计算机:人工智能
CiteScore
11.40
自引率
8.30%
发文量
1280
审稿时长
6.9 months
期刊介绍: Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems. All items relevant to building practical systems are within its scope, including but not limited to: -adaptive computing- algorithms- applicable neural networks theory- applied statistics- architectures- artificial intelligence- benchmarks- case histories of innovative applications- fuzzy logic- genetic algorithms- hardware implementations- hybrid intelligent systems- intelligent agents- intelligent control systems- intelligent diagnostics- intelligent forecasting- machine learning- neural networks- neuro-fuzzy systems- pattern recognition- performance measures- self-learning systems- software simulations- supervised and unsupervised learning methods- system engineering and integration. Featured contributions fall into several categories: Original Articles, Review Articles, Book Reviews and Announcements.
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