Joint effect of physical capacity and physical activity predicts depression progression in middle-aged and older Chinese adults

身体机能和身体活动的联合作用可预测中国中老年人抑郁症的进展

阅读:2

Abstract

BACKGROUND: Physical capacity (PC) and physical activity (PA) are key behavioural and physiological determinants of mental health, yet their joint effect on the progression of depression remains unclear. Understanding how these domains interact within a biobehavioural framework may help identify modifiable factors to prevent depression in ageing populations. Using a quadrant-based biobehavioural approach, we aimed to examine the joint effect of PC and PA on the progression of depressive symptoms. METHODS: We drew data for a cohort of participants surveyed in the China Health and Retirement Longitudinal Study from 2011 to 2018. PC was assessed by the Short Physical Performance Battery, and PA by weekly metabolic equivalent of task minutes. Participants were categorised into four PC-PA quadrants: 'can do, do do', 'can do, don't do', 'can't do, do do', and 'can't do, don't do'. Depressive symptoms were measured repeatedly with the 10-item Center for Epidemiologic Studies Depression Scale. We used linear mixed-effects models to estimate trajectories of depression across quadrants. RESULTS: Compared with the 'can't do, don't do' group, participants in the 'can do, do do' (P = 0.001) and 'can do, don't do' (P < 0.001) quadrants had significantly lower depressive symptom levels at baseline. Longitudinal trajectories of depressive symptoms differed by sex: changes over time were largely similar across PC-PA quadrants among men, while women with preserved PC showed a steeper increase in depressive symptoms over time despite lower baseline levels. CONCLUSIONS: Preserved PC is associated with a more favourable mental health status in middle-aged and older adults, including those with low PA. Sex-specific differences in longitudinal depressive symptom patterns highlight the need to consider PC when monitoring mental health in ageing populations.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。