The interaction of physical activity and sleep quality with depression and anxiety in older adults

身体活动和睡眠质量与老年人抑郁和焦虑的相互作用

阅读:2

Abstract

BACKGROUND: With the increase in the global aging population, the mental health of older adults has become increasingly prominent. This study aims to explore the relationship between the interaction of physical activity and sleep quality in older adults and depression and anxiety. METHODS: A multi-stage stratified random sampling method was employed to survey various communities within Nanchang City, collecting data from 2,497 older adults. The assessment tools included the Physical Activity Rating Scale (PARS-3), Pittsburgh Sleep Quality Index (PSQI), the 9-item Patient Health Questionnaire (PHQ-9), and the 7-item Generalized Anxiety Disorder scale (GAD-7). RESULTS: Among 2,497 participants, 582 (23.30%) had depressive tendencies; 1,122 (44.90%) had anxiety tendencies. The detection rate of depression and anxiety was higher in females than in males. Logistic regression analysis results showed that low physical activity was positively correlated with depression and anxiety (OR = 9.46; 3.66), while poor sleep quality was positively associated with depression and anxiety (OR = 2.40; 9.96) (P < 0.05). There is an interactive effect between physical activity and sleep quality in relation to anxiety and depressive symptoms in older adults. Specifically, compared to low physical activity combined with poor sleep quality, the combination of high physical activity and good sleep quality is associated with reduced levels of both anxiety and depression (P < 0.05). CONCLUSION: This investigation underscores the dynamic interplay among physical activity, sleep quality, depressive symptoms, and anxiety in older adults, forming a critical foundation for designing tailored interventions to enhance mental health outcomes in this population.

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。