Department of Behavioral Science and Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
Institute of Epidemiology and Public Health, University College London, London, UK.
Sci Rep. 2021 Sep 2;11(1):17723. doi: 10.1038/s41598-021-97065-1.
Recent studies have shown reduced physical activity at early stages of the COVID-19 pandemic. However, there is a lack of investigation on longitudinal changes in physical activity beyond lockdowns and stay-at-home orders. Moreover, it is unclear if there is heterogeneity in physical activity growth trajectories. This study aimed to explore longitudinal patterns of physical activity and factors associated with them. Data were from the UCL COVID-19 Social Study. The analytical sample consisted of 35,915 adults in England who were followed up for 22 weeks from 24th March to 23rd August 2020. Data were analysed using growth mixture models. Our analyses identified six classes of growth trajectories, including three stable classes showing little change over time (62.4% in total), two classes showing decreasing physical activity (28.6%), and one class showing increasing physical activity over time (9%). A range of factors were found to be associated the class membership of physical activity trajectories, such as age, gender, education, income, employment status, and health. There is substantial heterogeneity in longitudinal changes in physical activity during the COVID-19 pandemic. However, a substantial proportion of our sample showed persistent physical inactivity or decreasing physical activity. Given the well-established link between physical activity and health, persistent or increased physical inactivity is likely to have both immediate and long-term implications for people's physical and mental health, as well as general wellbeing. More efforts are needed to promote physical activity during the pandemic and beyond.
最近的研究表明,在 COVID-19 大流行的早期阶段,人们的身体活动减少了。然而,对于封锁和居家令之外的身体活动的纵向变化,缺乏调查。此外,不清楚身体活动增长轨迹是否存在异质性。本研究旨在探讨身体活动的纵向模式及其相关因素。数据来自 UCL COVID-19 社会研究。分析样本包括来自英格兰的 35915 名成年人,他们从 2020 年 3 月 24 日至 8 月 23 日被跟踪了 22 周。使用增长混合模型对数据进行分析。我们的分析确定了六种增长轨迹类别,包括三个随着时间变化而变化不大的稳定类别(总共占 62.4%),两个身体活动减少的类别(28.6%),以及一个随着时间身体活动增加的类别(9%)。发现一系列因素与身体活动轨迹的类别有关,例如年龄、性别、教育、收入、就业状况和健康状况。在 COVID-19 大流行期间,身体活动的纵向变化存在很大的异质性。然而,我们的样本中有相当一部分人表现出持续的身体不活动或身体活动减少。鉴于身体活动与健康之间的密切联系,持续或增加的身体不活动可能会对人们的身心健康以及整体幸福感产生直接和长期的影响。需要在大流行期间及以后加大力度促进身体活动。