The correlates of physical activity differ across domains. The authors explored the contribution of domain-specific physical activity to total physical activity and examined how different sociodemographic and social capital-related variables are associated with different physical activity domains in older adults, using nationally representative samples from six low- to middle-income countries. Activity at work and home combined plays an important role in contributing to total physical activity, while leisure-time physical activity accounted for an extremely small proportion. Some correlates of physical activity were similar across countries, such as working status and structural social capital, while other associations were country specific. Promoting structural social capital, trust, and perceived safety may confer positive benefits on older adults’ activity.
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Correlates of Domain-Specific Physical Activity Among Older Adults in Six Low- to Middle-Income Countries: Analysis of Nationally Representative Samples From Study of Global Aging and Adult Health (SAGE) (Wave 1)
Mengyun Luo, Philayrath Phongsavan, Adrian Bauman, Joel Negin, Zhiruo Zhang, and Ding Ding
A Holistic Way to Understand the Determinants of Physical Activity in Urban New South Wales, Australia: A Codesigned Systems Mapping Project
Mengyun Luo, Binh Nguyen, Tracy Nau, Simon K. Chiu, Adrian Bauman, Louise Freebairn, William Bellew, Lucie Rychetnik, David T. Burns, Elizabeth A. Calleja, Lucy Corbett, Jennifer L. Kent, David R. Lubans, Anthony D. Okely, Catherine Sherrington, Anne Tiedemann, and Ding Ding
Background: To meet the World Health Organization goal of reducing physical inactivity by 15% by 2030, a multisectoral system approach is urgently needed to promote physical activity (PA). We report the process of and findings from a codesigned systems mapping project to present determinants of PA in the context of urban New South Wales, Australia. Methods: A participatory conceptual mapping workshop was held in May 2023 with 19 participants working in education, transportation, urban planning, community, health, and sport and recreation. Initial maps were developed and refined using online feedback from the participants. Interviews were conducted with 10 additional policymakers from relevant sectors to further refine the maps. Results: Two systems maps were cocreated, identifying over 100 variables influencing PA and their interconnections. Five settings emerged from the adults’ map—social and community, policy, built environment and transportation, health care, and workplace—and 4 for the young people’s map—family, school, transportation, and community and environment. The maps share similarities, such as regarding potential drivers within the transportation, community, and built environment sectors; however, the young people’s map has a specific focus on the school setting and the adults’ map on workplace and health care settings. Interviews with policymakers provided further unique insights into understanding and intervening in the PA system. Conclusions: This codesigned participatory systems mapping process, supplemented by stakeholder interviews, provided a unique opportunity to bring together stakeholders across sectors to understand the complexity within the PA system and begin to identify leverage points for tackling physical inactivity in New South Wales.
