Malkowski Olivia S, Harvey Jessica, Townsend Nick P, Kelson Mark J, Foster Charlie E M, Western Max J
Centre for Motivation and Behaviour Change, Department for Health, University of Bath, Bath, UK.
Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK.
Int J Behav Nutr Phys Act. 2025 Jun 23;22(1):83. doi: 10.1186/s12966-025-01775-y.
Understanding socio-economic differences in the factors influencing physical activity among older adults is essential for developing comprehensive interventions. We aimed to quantify the associations of modifiable correlates and determinants on physical activity among older adults of lower versus higher socio-economic status in the United Kingdom.
In this systematic review and meta-analysis, we searched MEDLINE, Embase, Web of Science, Cochrane Central Register of Controlled Trials (CENTRAL), and Scopus from inception to December 2023, for peer-reviewed studies published in English, investigating associations between a modifiable factor as an independent variable and physical activity as a dependent variable, by socio-economic status (defined according to various area- and individual-level indicators, including neighbourhood deprivation, wealth or income, education, and occupational class), in samples of community-dwelling older adults aged 60+ years in the United Kingdom. Hospitalised and institutionalised populations were excluded. Random effects meta-analyses were performed separately for people of lower and higher socio-economic status. Risk of bias was assessed with the Mixed Methods Appraisal Tool. This study was registered with the International prospective register of systematic reviews (PROSPERO; CRD42022351708).
Searches identified 11,472 references; seventy-seven studies met the selection criteria, of which fifty-one contributed to meta-analyses (N range = 134-29,280). Of the exposures positively associated with physical activity, physical function, social participation, and perception of general health had the largest effect sizes (standardised mean difference [SMD] range = 0.53-0.81; I range = 54.81-91.00%). Estimates were comparable among older adults of lower and higher socio-economic status, except for the presence of built physical activity facilities, access to walking and cycling infrastructure, and less smoking, which were positively associated with physical activity only among individuals of lower socio-economic status.
Our results suggest researchers need to better understand discrepancies in the prevalence of the assessed correlates (e.g., fewer participants of lower socio-economic status reported good physical function) to inform policies that reduce inequalities in older adults' physical activity levels. However, most studies were cross-sectional. Future longitudinal and experimental research should gauge the suitability of these correlates as intervention targets.
了解影响老年人身体活动的因素中的社会经济差异对于制定全面的干预措施至关重要。我们旨在量化英国社会经济地位较低与较高的老年人中,可改变的相关因素和决定因素与身体活动之间的关联。
在这项系统评价和荟萃分析中,我们检索了从创刊到2023年12月的MEDLINE、Embase、Web of Science、Cochrane对照试验中央注册库(CENTRAL)和Scopus,查找以英文发表的同行评审研究,这些研究调查了作为自变量的可改变因素与作为因变量的身体活动之间的关联,按社会经济地位(根据各种地区和个人层面指标定义,包括邻里贫困、财富或收入、教育和职业阶层),在英国60岁及以上社区居住老年人样本中进行。排除住院和机构化人群。对社会经济地位较低和较高的人群分别进行随机效应荟萃分析。使用混合方法评估工具评估偏倚风险。本研究已在国际前瞻性系统评价注册库(PROSPERO;CRD42022351708)注册。
检索到11,472篇参考文献;77项研究符合入选标准,其中51项纳入荟萃分析(样本量范围 = 134 - 29,280)。在与身体活动呈正相关的暴露因素中,身体功能、社会参与和总体健康感知的效应量最大(标准化均值差[SMD]范围 = 0.53 - 0.81;I²范围 = 54.81 - 91.00%)。社会经济地位较低和较高的老年人之间的估计值具有可比性,但已建成的体育活动设施的存在、步行和自行车基础设施的可达性以及较少吸烟除外,这些因素仅在社会经济地位较低的个体中与身体活动呈正相关。
我们的结果表明,研究人员需要更好地理解所评估的相关因素患病率的差异(例如,社会经济地位较低的参与者中报告身体功能良好的人数较少),以便为减少老年人身体活动水平不平等的政策提供信息。然而,大多数研究是横断面研究。未来的纵向和实验研究应评估这些相关因素作为干预目标的适用性。