Background Few studies examined socio-ecological factors and leisure time physical activities (LTPA) and rarely focused on self-regulation and social capital, which might play a significant role in impacting people’s physical activity behavior. This study aimed to examine the direct and indirect effects of individual level (perceived benefits, perceived barriers, and self-efficacy), interpersonal level (self-regulation), social level (social capital), and environmental level factors (perceived physical environment) on LTPA among older adults. Methods A cross-sectional study was conducted in 737 older adults from Sichuan, China. Structural equation modeling (SEM) analysis was used to examine the associations of individual, interpersonal, social, and environmental level factors with LTPA. Results The mean age of all participants was 71.22 (range, 60–97), and 56.1% of them were women. The SEM results showed that individual level variables (β = 0.32, ρ < 0.001), self-regulation (β = 0.18, ρ < 0.001) and social capital (β = 0.14, ρ < 0.001) could all directly affect LTPA while there was no significant association of perceived physical environment with LTPA. Self-regulation served as a bridge linking social capital and LTPA. Individual level variables contributed the largest total effect (0.32) on LTPA. Self-regulation and social capital had the same total effect (0.18) on LTPA. Conclusions Factors on three levels were all significantly associated with LTPA. Interventions that incorporate individual, interpersonal, social factors may be considered to promote LTPA in older adults. Self-regulation should receive more attention in future interventions.

BackgroundAlthough a large number of studies have confirmed the benefits of physical activity (PA) in preventing age-related diseases and disabilities, a growing number of older people spent more time in sedentary behavior as opposed to PA. To reverse the alarming trend, numerous studies have corroborated the effectiveness of PA interventions in improving PA among older adults. However, such research is scarce in rural China, where a majority of older adults do not meet the PA recommendation. The Stay Active While Aging (SAWA) aimed to conduct an intervention to improve the PA level among older adults in rural China.MethodsThe SAWA is designed as a single-blind, clustered randomized controlled trial carried out in rural Sichuan, China with an 8-week intervention and a 24-month follow-up. The intervention group will receive a multilevel intervention (individual, interpersonal, and community levels), while the control group will not. The primary outcome is the PA level. Secondary outcome measures include sedentary behavior level, self-efficacy, self-regulation, cognitive function, night-time sleep quality, and anthropometry. The difference-in-differences (DID) will be performed to investigate the between-group differences, adjusted for baseline data and covariates.DiscussionThe SAWA trial will provide a multilevel intervention based on the socio-ecologic model among older adults in rural China. We target the PA level and health status changes while also focus on the maintenance of such intervention during 24 months. If the SAWA produces positive results, it will be possible to recommend similar strategies to be implemented in other Chinese older adults and beyond.Trial registrationChiCTR2100045653 (https://www.chictr.org.cn/index.aspx).

INTRODUCTIONCurrent randomized trial evidence on the effect of physical activity (PA) intervention on cognitive function is scarce and mainly found in well‐educated populations, limiting its generalizability. Furthermore, the modification effect of education levels remains understudied. We conducted a cluster randomized trial to evaluate the effects of PA intervention on cognitive function in a general older population, and whether education modifies such effects.METHODSEight villages were randomized to the intervention (four villages, n = 240) or the control (four villages, n = 271). The intervention group received an 8‐week multilevel PA intervention based on a socio‐ecological model, while the control did not. The intervention has been condensed to three levels with activities occurring at the individual (telephone counseling, printed material, and training sessions), interpersonal (peer group), and community levels (group sharing and coaching). The primary outcome was changes in global cognition (overall cognitive function) measured by the Telephone Interview for Cognitive Status (TICS‐10) at 12‐month follow‐up. Repeated measurements were modeled using the linear mixed model, which assumed that the missing values were missing at random.RESULTSThe mean age was 70.94 years (standard deviation 5.71) and 55.6% were women. Compared to the control, the orientation improved from baseline at 12‐month follow‐up (0.24 points [95% confidence interval (CI), 0.03 to 0.46 points; P = 0.03]). Stratified analysis showed that the global cognition and orientation improved at 12‐month follow‐up among illiterate participants in the intervention (for global cognition, mean difference, 0.57 points [95% CI, 0.03 to 1.10], P = 0.04; for orientation, mean difference, 0.31 points [95% CI, 0.04 to 0.58], P = 0.03).DISCUSSIONThese results confirm the improvements in orientation in older adults, as well as in global cognition and orientation in the illiterate at 12‐month follow‐up.

The purpose of this study was to explore the relationship between total physical activity and different dimensions of cognitive function (orientation, attention, and memory) among older adults in rural Sichuan, China. This cross-sectional study involved 715 older adults (average age of 72 years). Total PA was measured by the Physical Activity Scale for the Elderly, and cognitive function was assessed by the Telephone Interview for Cognitive Status (TICS) questionnaire. The multivariate linear regression analysis indicated that total PA and household PA were significantly associated with the overall Telephone Interview for Cognitive Status score (β = 0.143, p < .001; β = 0.115, p = .002, respectively), the orientation dimension (β = 0.142, p < .001; β = 0.131, p = .001, respectively), and the memory dimension (β = 0.179, p < .001; β = 0.134, p = .001, respectively). The study showed a positive association between total PA, household PA, and cognitive function in older adults, especially in the orientation dimension and the memory dimension of cognitive function.