biostudies-literatureBarr ALMRFMedical Research FoundationMedical Research CouncilWellcome Trust927https://www.ebi.ac.uk/biostudies/studies/S-EPMC7296740biostudies-literatureUnknown20(1)<h4>Background</h4>Leisure-time physical activity (LTPA) is an important contributor to total physical activity and the focus of many interventions promoting activity in high-income populations. Little is known about LTPA in sub-Saharan Africa (SSA), and with expected declines in physical activity due to rapid urbanisation and lifestyle changes we aimed to assess the sociodemographic differences in the prevalence of LTPA in the adult populations of this region to identify potential barriers for equitable participation.<h4>Methods</h4>A two-step individual participant data meta-analysis was conducted using data collected in SSA through 10 population health surveys that included the Global Physical Activity Questionnaire. For each sociodemographic characteristic, the pooled adjusted prevalenBMC public healthSociodemographic inequities associated with participation in leisure-time physical activity in sub-Saharan Africa: an individual participant data meta-analysis.PMC7296740MR/S019669/1WT206194MR/K013491/1Mwalim OPartap UMayige MTYoung EHBahendeka SKBarr ALMotala AASandhu MSJorgensen JMAMutungi GGuwatudde DKagaruki GBAgoudavi KBovet PLongo-Mbenza BBalde NWesseh CSfalseSociodemographic inequities associated with participation in leisure-time physical activity in sub-Saharan Africa: an individual participant data meta-analysis.<h4>Background</h4>Leisure-time physical activity (LTPA) is an important contributor to total physical activity and the focus of many interventions promoting activity in high-income populations. Little is known about LTPA in sub-Saharan Africa (SSA), and with expected declines in physical activity due to rapid urbanisation and lifestyle changes we aimed to assess the sociodemographic differences in the prevalence of LTPA in the adult populations of this region to identify potential barriers for equitable participation.<h4>Methods</h4>A two-step individual participant data meta-analysis was conducted using data collected in SSA through 10 population health surveys that included the Global Physical Activity Questionnaire. For each sociodemographic characteristic, the pooled adjusted prevalen2020-01-01T00:00:00Z2020 Jun2026-07-15T20:47:15.525Z2026-07-09T10:16:04.86ZS-EPMC72967403253970210.1186/s12889-020-08987-w