Frailty trajectory predicts subsequent cognitive decline: A 26‐year population‐based longitudinal cohort study
Ruidan Li,
Zheran Liu,
Rendong Huang,
Ye Chen,
Zhigong Wei,
Jingjing Wang,
Ling He,
Yiyan Pei,
Yonglin Su,
Xiaolin Hu,
Xingchen Peng
Affiliations
Ruidan Li
Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
Zheran Liu
Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
Rendong Huang
Hangzhou Linan Guorui Health Industry Investment Co., Ltd Hangzhou Zhejiang China
Ye Chen
Department of Abdominal Cancer, Cancer Center, West China Hospital Sichuan University Chengdu Sichuan China
Zhigong Wei
Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
Jingjing Wang
Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
Ling He
Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
Yiyan Pei
Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
Yonglin Su
West China Hospital Sichuan University Chengdu Sichuan China
Xiaolin Hu
West China School of Nursing, West China Hospital Sichuan University Chengdu Sichuan China
Xingchen Peng
Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center West China Hospital Sichuan University Chengdu Sichuan China
Abstract Frailty refers to a decline in the physiological functioning of one or more organ systems. It remained unclear whether variations in the trajectory of frailty over time were associated with subsequent cognitive change. The aim of the current study was to investigate the association between frailty trajectories and subsequent cognitive decline based on the Health and Retirement Study (HRS). A total of 15,454 participants were included. The frailty trajectory was assessed using the Paulson–Lichtenberg Frailty Index, while the cognitive function was evaluated using the Langa–Weir Classification. Results showed that severe frailty was significantly associated with the subsequent decline in cognitive function (β [95% CI] = −0.21 [−0.40, −0.03], p = 0.03). In the five identified frailty trajectories, participants with mild frailty (inverted U‐shaped, β [95% CI] = −0.22 [−0.43, −0.02], p = 0.04), mild frailty (U‐shaped, β [95% CI] = −0.22 [−0.39, −0.06], p = 0.01), and frailty (β [95% CI] = −0.34 [−0.62, −0.07], p = 0.01) were all significantly associated with the subsequent cognition decline in the elderly. The current study suggested that monitoring and addressing frailty trajectories in older adults may be a critical approach in preventing or mitigating cognitive decline, which had significant implications for healthcare.