Objective To explore the effect of physical activity trajectories on cognitive function in middle-aged and older adults.Methods Based on data from the China Health and Retirement Longitudinal Study(CHARLS)from 2011 to 2020,809 participants aged ≥45 were selected.General data,physical activity levels,and cognitive function were collected.The group-based trajectory model(GBTM)was used to establish the physical activity trajectory model,and multiple linear regression was applied to investigate factors affecting cognitive function in middle-aged and older adults and to analyze the relationship between physical activity trajectories and cognitive function.Results The cognitive function score for the 809 middle-aged and older adults was(11.71±4.60),and the logarithmic metabolic equivalent of physical activity was(8.38±1.06).Based on GBTM,four physical activity trajectories were identified:stable group,slow-increase group,rapid-decrease group,and stable-decrease group.Multiple linear regression analysis showed that the stable and slow-increase activity trajectories,gender,age,marital status,and retirement status were significant factors influencing cognitive function in middle-aged and older adults(P＜0.01).Conclusions Physical activity trajectories are associated with cognitive function in middle-aged and older adults.Maintaining stable or slowly increasing physical activity is beneficial for cognitive health.Nurses should design targeted interventions based on factors influencing cognitive function.
关键词
体力活动/中老年人/认知功能/群组轨迹模型
Key words
Physical activity/Middle-aged and older adults/Cognitive function/Group-based trajectory model
维普
万方数据