Archives of gerontology and geriatrics · 2026
Frailty transitions and incident stroke in older adults: A comparative longitudinal cohort study between China and the UK.
СтатьяСравнительное исследованиеНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Zhong Senda, Hua Xin, Li Haorui, Liao Siyu
Аннотация
OBJECTIVES: To examine the association between frailty status, its dynamic changes, and the risk of incident stroke among older adults in China and England.
MEASUREMENTS: A total of 19,723 participants (CHARLS: n = 9048; ELSA: n = 10,675) were included in the baseline analysis. Among them, 14,682 participants (CHARLS: n = 6419; ELSA: n = 8236) with complete data for both baseline and the second survey (2-year interval) were included in the analysis of frailty transitions. Frailty was assessed using a 28-item frailty index (FI) and categorized as robust (FI ≤0.10), pre-frail (0.10<FI<0.25), or frail (FI ≥0.25). Changes in frailty status were determined between baseline and the second survey. The primary outcome was incident stroke, ascertained by self-reported physician diagnosis. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CIs), adjusting for sociodemographic and lifestyle factors.
RESULT: Baseline frailty was associated with an increased risk of stroke in both cohorts. Participants whose frailty progressed from robust to pre-frail or frail had a significantly higher stroke risk, while those who recovered from frail to robust or pre-frail showed a reduced risk. Additionally, higher cumulative FI was strongly associated with increased stroke incidence, with a significant dose-response relationship (all trend P-values < 0.0001). Sensitivity analyses using alternative FI thresholds yielded consistent results.
CONCLUSION: Frailty status and its dynamic changes are significant predictors of stroke in older adults. Monitoring frailty transitions may help identify individuals at high risk of stroke and inform early intervention strategies.
MEASUREMENTS: A total of 19,723 participants (CHARLS: n = 9048; ELSA: n = 10,675) were included in the baseline analysis. Among them, 14,682 participants (CHARLS: n = 6419; ELSA: n = 8236) with complete data for both baseline and the second survey (2-year interval) were included in the analysis of frailty transitions. Frailty was assessed using a 28-item frailty index (FI) and categorized as robust (FI ≤0.10), pre-frail (0.10<FI<0.25), or frail (FI ≥0.25). Changes in frailty status were determined between baseline and the second survey. The primary outcome was incident stroke, ascertained by self-reported physician diagnosis. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CIs), adjusting for sociodemographic and lifestyle factors.
RESULT: Baseline frailty was associated with an increased risk of stroke in both cohorts. Participants whose frailty progressed from robust to pre-frail or frail had a significantly higher stroke risk, while those who recovered from frail to robust or pre-frail showed a reduced risk. Additionally, higher cumulative FI was strongly associated with increased stroke incidence, with a significant dose-response relationship (all trend P-values < 0.0001). Sensitivity analyses using alternative FI thresholds yielded consistent results.
CONCLUSION: Frailty status and its dynamic changes are significant predictors of stroke in older adults. Monitoring frailty transitions may help identify individuals at high risk of stroke and inform early intervention strategies.