Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea SA1 8EN, UK.
School of Healthcare Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff CF14 4EP, UK.
Int J Environ Res Public Health. 2022 Jan 18;19(3):1044. doi: 10.3390/ijerph19031044.
Novel coronavirus disease 2019 (COVID-19) pandemic restrictions have negatively impacted physical activity (PA) and sedentary time/behaviour. This integrative review systematically explored the socioecological factors that impacted and influenced these movement behaviours in children and adolescents during the pandemic. Five electronic databases were systematically searched in January 2021, with data extracted from 16 articles ( = 18,352; 5-17 years; 12 countries). Risk-of-bias was assessed using the Mixed Methods Assessment Tool (MMAT), with correlates identified, coded, and themed via thematic analysis. A socioecological model of during-pandemic PA and sedentary time/behaviour was conceptualised and mapped to the Capability, Opportunity, Motivation, and Behaviour (COM-B) model of behaviour-change mechanisms, illustrating influences over five levels: Individual (biological)-age and sex; Individual (psychological)-mental health, and cognition, motivation, and behaviour; Social-family factors, and structured support; Environmental-area of residence and resources; and Policy-COVID-19-related rules. For sedentary time/behaviour, individual-(age and sex), social-(family factors) and policy-(COVID-19-related rules) level factors may be important correlates. There were no age or sex associations with PA levels, though there was some indication that sedentary time/behaviour increased with age. Interventions seeking to enhance young people's movement behaviours during periods of enforced restrictions should focus on enhancing opportunities on a social and environmental level.
新型冠状病毒病 2019(COVID-19)大流行限制对身体活动(PA)和久坐时间/行为产生了负面影响。本综合评价系统地探讨了在大流行期间影响和影响儿童和青少年这些运动行为的社会生态因素。2021 年 1 月系统地搜索了五个电子数据库,从 16 篇文章中提取了数据(= 18,352;5-17 岁;12 个国家)。使用混合方法评估工具(MMAT)评估风险偏差,并通过主题分析对相关因素进行编码和主题化。提出了一个大流行期间 PA 和久坐时间/行为的社会生态学模型,并将其映射到行为改变机制的能力、机会、动机和行为(COM-B)模型,说明了对五个层面的影响:个体(生物)-年龄和性别;个体(心理)-心理健康和认知、动机和行为;社会-家庭因素和结构化支持;环境-居住区域和资源;和政策-与 COVID-19 相关的规则。对于久坐时间/行为,个体(年龄和性别)、社会(家庭因素)和政策(与 COVID-19 相关的规则)层面的因素可能是重要的相关因素。PA 水平与年龄或性别没有关联,但有一些迹象表明久坐时间/行为随着年龄的增长而增加。在强制性限制期间,旨在增强年轻人运动行为的干预措施应侧重于在社会和环境层面上增加机会。