Institute of Sport and Exercise Medicine, Division of Orthopaedics, Department of Surgical Sciences, Faculty of Health and Medicine, Stellenbosch University, Cape Town 8000, South Africa.
Sports Performance Research Institute New Zealand (SPRINZ), School of Sport and Recreation, Auckland University of Technology, Auckland 1010, New Zealand.
Int J Environ Res Public Health. 2021 Nov 15;18(22):11977. doi: 10.3390/ijerph182211977.
Physical activity behaviour is complex, particularly in low-resource settings, while existing behavioural models of physical activity behaviour are often linear and deterministic. The objective of this review was to (i) synthesise the wide scope of factors that affect physical activity and thereby (ii) underpin the complexity of physical activity in low-resource settings through a qualitative meta-synthesis of studies conducted among patients with cardiometabolic disease living in low-to-middle income countries (LMIC). A total of 41 studies were included from 1200 unique citations (up to 15 March 2021). Using a hybrid form of content analysis, unique factors ( = 208) that inform physical activity were identified, and, through qualitative meta-synthesis, these codes were aggregated into categories ( = 61) and synthesised findings ( = 26). An additional five findings were added through deliberation within the review team. Collectively, the 31 synthesised findings highlight the complexity of physical activity behaviour, and the connectedness between person, social context, healthcare system, and built and natural environment. Existing behavioural and ecological models are inadequate in fully understanding physical activity participation in patients with cardiometabolic disease living in LMIC. Future research, building on complexity science and systems thinking, is needed to identify key mechanisms of action applicable to the local context.
身体活动行为较为复杂,在资源匮乏的环境中尤甚,而现有的身体活动行为模式往往是线性且确定的。本综述的目的在于:(i)综合影响身体活动的广泛因素,从而(ii)通过对中低收入国家(LMIC)心血管代谢疾病患者开展的研究进行定性元综合分析,来揭示资源匮乏环境中身体活动的复杂性。从 1200 篇独特的引用文献中,共纳入了 41 项研究(截至 2021 年 3 月 15 日)。通过混合形式的内容分析,确定了 208 个独特的身体活动影响因素,并通过定性元综合分析,将这些编码归类为 61 个类别和 26 个综合发现。通过综述团队内部的讨论,又增加了 5 个发现。总的来说,这 31 个综合发现突出了身体活动行为的复杂性,以及人与社会环境、医疗保健系统、建筑和自然环境之间的联系。现有的行为和生态模型不足以全面理解中低收入国家心血管代谢疾病患者的身体活动参与度。需要基于复杂性科学和系统思维开展未来研究,以确定适用于当地环境的关键作用机制。