Cross-sectional and longitudinal trajectory analyses of sleep duration and frailty among middle-aged and older Chinese adults

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-15
DOI
https://doi.org/10.1038/s41598-025-97130-z
Citations
2
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
4.24

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross-sectional and longitudinal trajectory analyses of sleep duration and frailty among middle-aged and older Chinese adults

Yan Sun, Miao Lu, Di Xu, Wei Zheng et al.
2 citations
Scientific Reports
Sleep and related disorders
4.24
article

Cross-sectional and longitudinal trajectory analyses of sleep duration and frailty among middle-aged and older Chinese adults

Yan Sun, Miao Lu, Di Xu, Wei Zheng, Xianling Liu
article en
2 citations

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.

Scientific ReportsVol. 15(1)
Jiangsu Province Hospital (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China, Peking University, National Institute on Aging
Openalex Percentile: Top 7%
Sleep and related disorders
4.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.