Bilateral association between muscle strength and depression: evidence from a prospective cohort study

肌肉力量与抑郁症的双侧关联:一项前瞻性队列研究的证据

阅读:3

Abstract

BACKGROUND: Both low muscle strength and depressive symptoms are common among middle-aged and older adults. However, their bilateral association has not been thoroughly investigated. This study examined whether muscle strength and depression are bilaterally associated using data from a prospective cohort in China. METHODS: A total of 6,961 participants without depression and 6,817 participants without low muscle strength from the China Health and Retirement Longitudinal Study were included to investigate the association of muscle strength with depression and of depressive symptoms with low muscle strength, respectively. The 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) was used to assess depressive symptoms, with a cut-off score of 10. Handgrip strength and the time taken to complete the Five Times Sit-to-Stand Test (5TSTS) were used to evaluate muscle strength. Cox regression was applied to assess the associations after adjusting for relevant variables. Restricted cubic splines (RCS) were used to explore potential non-linear relationships. RESULTS: There was a significant association between handgrip strength (HR: 0.98; 95% CI: 0.98-0.99) and time of 5TSTS (HR: 1.02; 95% CI: 1.01-1.03) with the 7-year incident depressive symptoms. Similarly, depressive symptoms were significantly associated with the 4-year incident low muscle strength, as defined by both handgrip strength (HR: 1.04; 95% CI: 1.02-1.05) and time of 5TSTS (HR: 1.02; 95% CI: 1.01-1.04). No evidence of non-linear associations was detected. LIMITATION: Depressive symptoms were assessed using the CESD-10 scale rather than a clinical diagnosis. CONCLUSIONS: A bilateral longitudinal association exists between muscle strength and depression.

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。