Affiliation:
1. Nursing School of Peking University Health Science Center Beijing China
2. Guizhou Provincial People's Hospital Guiyang Guizhou China
Abstract
AbstractBackgroundPhysical frailty (PF) is highly prevalent and associated with undesirable outcomes in stroke survivors aged 65 years or older. However, the long‐term trajectories of PF are understudied in those older stroke survivors.AimsTo identify PF trajectories and relative predictors associated with the PF trajectories in older stroke survivors.DesignThis is a secondary analysis of a population‐based cohort study in the United States.MethodsSix hundred and sixty‐three older stroke survivors from the National Health and Ageing Trends Study from 2015 to 2021 were included. PF was operationally assessed based on the Fried Frailty Phenotype. Trajectories were identified by group‐based trajectory modelling. The associations between sociodemographic characteristics, clinical factors, symptoms, cognitive factors and PF trajectories were examined using the design‐based logistic regression method.ResultsMost older stroke survivors were 75 and older (63.32%), female (53.99%), white (80.54%) and partnered (50.64%). Two PF trajectory groups were identified (Group 1: low risk, robust; 49.47%; Group 2: high risk, deteriorating; 50.53%). Individuals were at a higher risk to be assigned to Group 2 if they were 75–84 years (adjusted odds ratio [aOR]: 2.16, 95% CI: 1.23–3.80) or 85+ years (aOR: 2.77, 95% CI: 1.52–5.04), had fair self‐reported health (aOR: 2.78, 95% CI: 1.53–5.07) or poor self‐reported health (aOR: 3.37, 95% CI: 1.51–7.52), had comorbidities (aOR: 8.44, 95% CI: 1.31–54.42), had breathing problems (aOR: 2.18, 95% CI: 1.18–4.02) and had balance problems (aOR: 1.70, 95% CI: 1.06–2.73).ConclusionPF trajectories in older stroke survivors were heterogeneous and were associated with age, self‐rated health status, comorbidities, breathing problems and balance problems.Implication to Clinical PracticeEarly, routine, dynamic screening for stroke‐related physical frailty (PF) and relative predictors might be beneficial for identifying the most vulnerable individuals. Our findings might help develop strategies to manage PF progression.Reporting MethodThe reporting followed the STROBE guideline.
Funder
Ministry of Science and Technology of the People's Republic of China
National Natural Science Foundation of China