Na Zhang1,2, Guo-Ping Shi3, Yong Wang3, Xue-Feng Chu3, Zheng-Dong Wang3, Jian-Ming Shi3, Jiang-Hong Guo3, Yu-Chen Wang1,2, Shun Yao1,2, Xiao-Yan Jiang4, Yin-Sheng Zhu5, Xiao-Feng Wang6,7. 1. State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Science and Institutes of Biomedical Sciences, Fudan University, Shanghai, China. 2. National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China. 3. Rugao People's Hospital, Rugao, Jiangsu, China. 4. Key Laboratory of Arrhythmias of the Ministry of Education of China, Tongji University School of Medicine, Shanghai, China. 5. Rugao People's Hospital, Rugao, Jiangsu, China. zhuyinshengRUGAO@163.com. 6. State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Science and Institutes of Biomedical Sciences, Fudan University, Shanghai, China. xiaofengwang71@163.com. 7. National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China. xiaofengwang71@163.com.
Abstract
BACKGROUND AND AIMS: This study aimed at investigating whether depression symptoms are associated with prevalent and incident physical frailty in Chinese older population. METHODS: We analyzed data of 1168 older Chinese adults aged 70 and above in the aging arm of the Rugao Longevity and Aging Study (RuLAS). Depressive symptoms (Geriatric Depression Scale ≥ 6) were assessed by the Geriatric Depression Scale. Frailty was defined using Fried phenotype criteria at baseline and 3-year survey. RESULTS: At baseline, 8.9% of the participants had depression symptoms. The prevalence of pre-frailty and frailty were 34.5% and 5.9%, respectively. The percentages of depressive symptoms increase from robust (5.3%) to pre-frail (11.2%), and then to frail (31.9%) groups. After adjustments of multiple covariates, depressive symptoms were associated with both prevalent pre-frailty (OR = 1.75, 95% CI 1.08-2.84) and prevalent frailty (OR = 5.64, 95% CI 2.85-11.14) at baseline. At 3-year survey, 9.3% participants reported the development of frailty. After multiple adjustments, depressive symptoms were associated with a 2.79-fold (95% CI 1.09-7.10) increased risk of 3-year incident frailty. CONCLUSION: Depressive symptoms are associated with prevalent and incident frailty in Chinese older population. Together with the observations of the European populations, depressive symptoms may be a candidate risk factor of frailty.
BACKGROUND AND AIMS: This study aimed at investigating whether depression symptoms are associated with prevalent and incident physical frailty in Chinese older population. METHODS: We analyzed data of 1168 older Chinese adults aged 70 and above in the aging arm of the Rugao Longevity and Aging Study (RuLAS). Depressive symptoms (Geriatric Depression Scale ≥ 6) were assessed by the Geriatric Depression Scale. Frailty was defined using Fried phenotype criteria at baseline and 3-year survey. RESULTS: At baseline, 8.9% of the participants had depression symptoms. The prevalence of pre-frailty and frailty were 34.5% and 5.9%, respectively. The percentages of depressive symptoms increase from robust (5.3%) to pre-frail (11.2%), and then to frail (31.9%) groups. After adjustments of multiple covariates, depressive symptoms were associated with both prevalent pre-frailty (OR = 1.75, 95% CI 1.08-2.84) and prevalent frailty (OR = 5.64, 95% CI 2.85-11.14) at baseline. At 3-year survey, 9.3% participants reported the development of frailty. After multiple adjustments, depressive symptoms were associated with a 2.79-fold (95% CI 1.09-7.10) increased risk of 3-year incident frailty. CONCLUSION:Depressive symptoms are associated with prevalent and incident frailty in Chinese older population. Together with the observations of the European populations, depressive symptoms may be a candidate risk factor of frailty.
Entities:
Keywords:
Chinese older population; Depression symptoms; Frailty; Incident
Authors: M K Borges; C V Romanini; N A Lima; M Petrella; D L da Costa; V N An; B N Aguirre; J R Galdeano; I C Fernandes; J F Cecato; E C Robello; R C Oude Voshaar; I Aprahamian Journal: J Nutr Health Aging Date: 2021 Impact factor: 4.075
Authors: Ivan Aprahamian; Marcus K Borges; Denise J C Hanssen; Hans W Jeuring; Richard C Oude Voshaar Journal: Clin Interv Aging Date: 2022-06-22 Impact factor: 3.829