Knight, Rachel L, McNarry, Melitta A, Sheeran, Liba, Runacres, Adam ORCID: https://orcid.org/0000-0002-8251-2805, Thatcher, Rhys, Shelley, James and Mackintosh, Kelly A (2021) Moving Forward: Understanding Correlates of Physical Activity and Sedentary Behaviour during COVID-19-An Integrative Review and Socioecological Approach. International Journal of Environmental Research and Public Health, 18 (20). p. 10910. ISSN 1660-4601
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Abstract
Population-level physical activity (PA) and sedentary time/behaviour estimates represent a significant public health issue exacerbated by restrictions enforced to control COVID-19. This integrative review interrogated available literature to explore the pandemic's impact on correlates of such behaviours in adults (≥18 years). Five electronic databases were systematically searched in January 2021. Data extracted from 64 articles were assessed for risk-of-bias using the Mixed Methods Assessment Tool, with correlates identified, coded, and themed via thematic analysis. A socioecological model of during-pandemic PA was conceptualized and mapped to the Capability, Opportunity, Motivation, and Behaviour (COM-B) model of behaviour change mechanisms, which illustrates influences over five levels: Individual (biological)-general health; Individual (psychological)-mental health, cognition, motivation, and behaviour; Social-domestic situation, sociodemographic factors, support, and lifestyle choices; Environmental-resources and area of residence; and Policy-COVID-19-related rules. For sedentary time/behaviour, individual level factors, namely general and mental health, may be important correlates. Neither age or sex were clearly correlated with either behaviour. As we transition into a new normal, understanding which behaviour mechanisms could effectively challenge physical inactivity is essential. Targeting capability on a psychological level may facilitate PA and limit sedentary time/behaviour, whereas, on a physical level, maximizing PA opportunities could be crucial.
Impact and Reach
Statistics
Additional statistics for this dataset are available via IRStats2.