Background
Little is known about the associations between long-term patterns of sleep and frailty and their impact on cardiovascular disease risk. We aimed to delineate trajectories of nighttime sleep duration and frailty, compare baseline characteristics across trajectory groups, and evaluate their independent and joint associations with cardiovascular disease (CVD) risk.
Methods
Trajectories of sleep duration and frailty index (FI) were modeled using three biennial waves (2011–2015) of the China Health and Retirement Longitudinal Study (CHARLS). Group-based and dual trajectory modeling identified distinct patterns. Baseline characteristics across trajectories were examined using multinomial logistic regression. Cox proportional hazards models estimated hazard ratios (HRs) and 95 % confidence intervals (CIs) for CVD events occurring during 2015–2018 follow-up.
Results
Among 6972 participants, four sleep trajectories and three frailty trajectories were identified. Compared with the stable-8-hours sleep trajectory, the stable-5-hours group had higher risks of CVD (HR: 1.33, 95 % CI: 1.05–1.68) and heart disease (HR: 1.42, 95 % CI: 1.07–1.88), significant only for women in sex-stratified analyses. Stable pre-frail and frail trajectories were linked to elevated risks of CVD (HR: 1.92, 95 % CI: 1.45–2.55; HR: 3.70, 95 % CI: 2.63–5.21) and heart disease (HR: 2.28, 95 % CI: 1.60–3.24; HR: 4.61, 95 % CI: 3.03–7.00) in both sexes. Dual-trajectory analyses revealed co-development patterns of sleep and frailty, with the highest CVD risk (HR: 3.04, 95 % CI: 1.88–4.91) observed among individuals with both stable pre-frail/frail and stable-5-hours trajectories.
Conclusion
Sleep duration and frailty trajectories are interrelated over time and jointly influence CVD risk. Monitoring their long-term patterns may improve the precision of CVD prevention.
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