Relationship between physical activity trajectories and cognitive function of middle-aged and older adults based on group-based trajectory model
10.3760/cma.j.cn115682-20240729-04228
- VernacularTitle:基于群组轨迹模型的体力活动变化轨迹与中老年人认知功能的关系研究
- Author:
Li LI
1
;
Xiangyun GUAN
;
Yuanyuan JIANG
;
Jingzheng YAN
;
Yingjuan CAO
Author Information
1. 山东大学齐鲁医院国际医疗部，济南 250012
- Keywords:
Physical activity;
Middle-aged and older adults;
Cognitive function;
Group-based trajectory model
- From:
Chinese Journal of Modern Nursing
2024;30(32):4373-4377
- CountryChina
- Language:Chinese
-
Abstract:
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.
