Yinsheng Zhu1, Zuyun Liu2, Yong Wang1, Zhengdong Wang1, Jianming Shi1, Xuejuan Xie1, Li Jin2, Xuefeng Chu1, Xiaofeng Wang3. 1. Rugao People's Hospital, Rugao 226500, Jiangsu, China. 2. Unit of Epidemiology, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, 200433, Shanghai, China. 3. Unit of Epidemiology, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, 200433, Shanghai, China. Electronic address: xiaofengwang71@163.com.
Abstract
BACKGROUND: The objective of this study is to examine the agreement between two commonly used frailty measurements (frailty index and phenotype) and their associations with falls and overnight hospitalizations in a community-based population. METHODS: Data was collected from 1663 elderly adults (aged 70-84 years) from the aging arm of the Rugao Longevity and Ageing study, a two-arm cohort conducted in Rugao, China. Items concerning the frailty index and phenotype, falls and overnight hospitalizations were collected. RESULTS: The Kappa agreement examining three levels of these two frailty measurements was 0.310 (95% CI: 0.277-0.343) according to the frailty index cut-off developed by Hoover et al. Both frailty measurements were significantly associated with falls and overnight hospitalizations. For instance, compared with the frailty index defined non-frail participants, their pre-frail and frail counterparts had significantly increased risks for falls, with odds ratios (ORs) of 1.69 (95% CI: 1.17-2.43) and 2.87 (95% CI: 1.93-4.28), respectively. When the two frailty measurements were simultaneously included in the models, significant associations were also observed. More importantly, a sub-analysis in participants who were categorized as robust by frailty phenotype revealed that frail participants (frailty index>0.21) still had increased risks for falls (OR=2.35, 95% CI: 1.24-4.46) and overnight hospitalizations (OR=2.56, 95% CI: 1.05-6.23) compared with their non-frail counterparts. CONCLUSIONS: Common characteristics and complementarity existed in the frailty index and phenotype in the elderly Chinese population. Additional consideration of the frailty index when applying frailty phenotype should be undertaken. The findings provide preliminary but crucial clues for future studies on frailty.
BACKGROUND: The objective of this study is to examine the agreement between two commonly used frailty measurements (frailty index and phenotype) and their associations with falls and overnight hospitalizations in a community-based population. METHODS: Data was collected from 1663 elderly adults (aged 70-84 years) from the aging arm of the Rugao Longevity and Ageing study, a two-arm cohort conducted in Rugao, China. Items concerning the frailty index and phenotype, falls and overnight hospitalizations were collected. RESULTS: The Kappa agreement examining three levels of these two frailty measurements was 0.310 (95% CI: 0.277-0.343) according to the frailty index cut-off developed by Hoover et al. Both frailty measurements were significantly associated with falls and overnight hospitalizations. For instance, compared with the frailty index defined non-frail participants, their pre-frail and frail counterparts had significantly increased risks for falls, with odds ratios (ORs) of 1.69 (95% CI: 1.17-2.43) and 2.87 (95% CI: 1.93-4.28), respectively. When the two frailty measurements were simultaneously included in the models, significant associations were also observed. More importantly, a sub-analysis in participants who were categorized as robust by frailty phenotype revealed that frail participants (frailty index>0.21) still had increased risks for falls (OR=2.35, 95% CI: 1.24-4.46) and overnight hospitalizations (OR=2.56, 95% CI: 1.05-6.23) compared with their non-frail counterparts. CONCLUSIONS: Common characteristics and complementarity existed in the frailty index and phenotype in the elderly Chinese population. Additional consideration of the frailty index when applying frailty phenotype should be undertaken. The findings provide preliminary but crucial clues for future studies on frailty.
Authors: Deborah A Lekan; Debra C Wallace; Thomas P McCoy; Jie Hu; Susan G Silva; Heather E Whitson Journal: Biol Res Nurs Date: 2017-01-25 Impact factor: 2.522
Authors: Anh Trung Nguyen; Thanh Xuan Nguyen; Tu N Nguyen; Thu Hoai Thi Nguyen; Thang Pham; Robert Cumming; Sarah N Hilmer; Huyen Thi Thanh Vu Journal: Clin Interv Aging Date: 2019-02-20 Impact factor: 4.458
Authors: Tam Ngoc Nguyen; Tu Ngoc Nguyen; Anh Trung Nguyen; Thanh Xuan Nguyen; Huong Thu Thi Nguyen; Thu Thi Hoai Nguyen; Thang Pham; Huyen Thanh Thi Vu Journal: BMJ Open Date: 2020-09-17 Impact factor: 2.692