握力
萧条(经济学)
混淆
医学
优势比
手部力量
逻辑回归
置信区间
人口
纵向研究
老人忧郁量表
物理疗法
老年学
心理学
物理医学与康复
精神科
认知
抑郁症状
内科学
环境卫生
经济
病理
宏观经济学
作者
Jinbao Wang,Xianghong Jasmine Zhou,Shi Qiu,Linghui Deng,Jiakun Li,Lu Yang,Wei Qiang,Birong Dong
标识
DOI:10.3389/fnagi.2022.937087
摘要
Background The association between grip strength and depression in elderly individuals in low- and middle-income countries (LMICs) has rarely been studied. This study aims to explore the relevance of grip strength and depression in the elderly population using data from a national large-scale population. Methods This study was conducted using data from seniors over 60 years old in wave 1 of the Longitudinal Aging Study in India (LASI). Grip strength is the maximum of three measurements by the dynamometer. Depression symptoms were assessed using 10 items on the Center for Epidemiologic Studies Depression Scale (CESD-10) with a 10-point boundary. Multivariate linear regression analysis, non-linear analysis, subgroup analysis, interaction tests and sensitivity analysis were performed. Results There were 27,343 participants in this study, including 19,861 participants with low grip strength and 7,482 participants with normal grip strength. The results revealed that grip strength and depression were negatively correlated in elderly individuals after adequate adjustment for confounding factors [odds ratio (OR) = 1.237, 95% confidence interval (CI) 1.172–1.305, p < 0.00001]. The results remained stable after adjusting for all confounding factors (OR = 1.090, 95% CI 1.030–1.155, p = 0.00307). Regression analysis showed that physical activity (PA), comorbidities and cognition may have an impact on the correlation between grip strength and depression symptoms. Smooth curve fit suggested that grip strength and depressive symptoms were linearly related. The interaction test results of gender in the relationship between grip strength and depression were significant ( p for interaction < 0.05). Conclusion Grip strength and depression were negatively correlated in older Indians, and larger prospective studies are needed in the future to determine this association.
科研通智能强力驱动
Strongly Powered by AbleSci AI