ArticleScientific reports2025
Cross-sectional and longitudinal trajectory analyses of sleep duration and frailty among middle-aged and older Chinese adults.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- J-shaped relationship between physical activity and frailty risk in adults with sleep disorders: the additional protective role of the weekend warrior pattern.Scientific reports · 2026Article
- Identification of frailty heterogeneity and its transition trajectories in patients with chronic heart failure: a latent transition analysis.Frontiers in medicine · 2026Article
- Nurses as guardians of time: the hidden clinical value of continuous care in geriatrics.Frontiers in public health · 2026Review
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5 authors.
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Abstract
The relationship between sleep duration and frailty remains unclear, particularly regarding their bidirectional nature and temporal dynamics in the Chinese population. This study aimed to investigate the cross-sectional association, developmental trajectories, and interactions between sleep duration and frailty in Chinese middle-aged and older adults. Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS), which included 12,942 participants for cross-sectional analysis and 11,192 participants for the longitudinal trajectory study. Latent growth models and cross-lagged panel models were utilized to explore the temporal effects of sleep duration on frailty and vice versa. Participants' mean age was 59.29 ± 9.48 years, comprising 47.73% men and 52.27% women. Cross-sectional analysis revealed that, compared with participants with normal sleep duration (6-8 h), both Q1 (≤ 5 h, OR = 1.99, 95% CI 1.64-2.41, P < 0.001) and Q4 (> 8 h, OR = 1.50, 95% CI 1.12-2.02, P = 0.01) showed increased risks of frailty. The parallel latent growth model demonstrated that the initial level of sleep duration significantly negatively predicted the initial level of frailty (β = - 0.34, P < 0.001), while the rate of change in sleep duration negatively predicted the rate of change in frailty (β = - 0.61, P < 0.001). Conversely, the initial level of frailty significantly negatively predicted the initial level of sleep duration (β = - 0.36, P < 0.001), and the rate of change in frailty negatively predicted the rate of change in sleep duration (β = - 0.71, P < 0.001). Cross-lagged analysis indicated a bidirectional causal association between sleep duration and frailty, with the negative predictive effect of frailty on sleep duration being relatively stable, while sleep duration had a short-term effect on frailty. Our study revealed a U-shaped correlation between sleep duration and frailty risk in cross-sectional analysis and established a bidirectional relationship through longitudinal investigation. These findings underscore the importance of balanced sleep patterns and early screening for both conditions in middle-aged and older adults.
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