Longitudinal sleep duration trajectories and their association with cardio-renal-metabolic multimorbidity risk in postmenopausal women: evidence from the CHARLS study.
11 affiliations
- 1Department of Cardiology, Shenzhen Nanshan People's Hospital, Affiliated Nanshan Hospital of Shenzhen University, Guangdong, 518000, China.
- 2Department of Endocrinology, Shenzhen Nanshan People's Hospital, Affiliated Nanshan Hospital of Shenzhen University, Guangdong, 518000, China.
- 3Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University Medical School, Guangdong, 518000, China.
- 4Department of Hematology, First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
- 5Department of Gastroenterology, People's Hospital of Baoan District, Shenzhen, 518101, China.
- 6Department of Cardiology, Shenzhen Nanshan People's Hospital, Affiliated Nanshan Hospital of Shenzhen University, Guangdong, 518000, China. [email protected].
- 7Shenzhen Nanshan People's Hospital, Affiliated Nanshan Hospital of Shenzhen University, 89 Taoyuan Road, Nanshan District, Shenzhen, Guangdong, China. [email protected].
- 8Department of Geriatrics, The third Affiliated Hospital of Sun Yat-sen University, Guangdong, 510630, Guangzhou, China. [email protected].
- 9The third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Tianhe District, Guangzhou, Guangdong, China. [email protected].
- 10Department of Geriatrics, The third Affiliated Hospital of Sun Yat-sen University, Guangdong, 510630, Guangzhou, China. [email protected].
- 11The third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Tianhe District, Guangzhou, Guangdong, China. [email protected].
Abstract
Background
To investigate the association between longitudinal sleep duration trajectories and the risk of cardio-renal-metabolic multimorbidity (CRMM) in a population of postmenopausal women.Methods
A total of 2,859 postmenopausal women from the China Health and Retirement Longitudinal Study (CHARLS) were included, with 4 repeated measurements of night sleep duration collected from 2011 to 2018. Group-based trajectory modeling was adopted to identify distinct sleep duration trajectory patterns. Multivariable logistic regression was used to examine the associations between sleep trajectories and incident CRMM ascertained between 2018 and 2020. Subgroup analyses and sensitivity analyses were further conducted to validate the robustness of the findings.Results
Three sleep duration trajectory patterns were identified: normal-stable (33.9% of the cohort), normal-fluctuating decline (52.0%), and short-rapid decline (14.1%). During a median follow-up of 2 years, the primary outcome (incident CRMM) occurred in 108 participants (3.8%). Compared with normal-stable group, those in normal-fluctuating decline and short-rapid decline groups had an increased risk of CRMM (ORs of 2.30 [95%CI, 1.35-3.91] and 3.75 [95%CI, 1.99-7.07], respectively) after adjustment for multiple covariates. Subgroup and sensitivity analyses confirmed the robustness of these associations, which were independent of key baseline characteristics and missing data.Conclusion
In postmenopausal women, short and declining sleep duration trajectories are strong, independent risk factors for CRMM. Public health and clinical interventions should prioritize maintaining stable, adequate sleep to mitigate multimorbidity risk in this population.
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BibTeX
@article{xu2026longitudinal,
title = {{Longitudinal sleep duration trajectories and their association with cardio-renal-metabolic multimorbidity risk in postmenopausal women: evidence from the CHARLS study.}},
author = {Junwei Xu and Rongzhi Liu and Minchun Zhang and Piaorong Zeng and Shuting Liao and Zixiang Lin and Bihan Huang and Yixin Yao and Kuihua Xie and Shaoyuan Chen and Ling Long and Yuxi Huang},
journal = {BMC public health},
year = {2026},
month = jul,
doi = {10.1186/s12889-026-28622-4},
url = {https://europepmc.org/article/MED/42897539},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Longitudinal sleep duration trajectories and their association with cardio-renal-metabolic multimorbidity risk in postmenopausal women: evidence from the CHARLS study.
AU - Junwei Xu
AU - Rongzhi Liu
AU - Minchun Zhang
AU - Piaorong Zeng
AU - Shuting Liao
AU - Zixiang Lin
AU - Bihan Huang
AU - Yixin Yao
AU - Kuihua Xie
AU - Shaoyuan Chen
AU - Ling Long
AU - Yuxi Huang
PY - 2026
DA - 2026/07/01
JO - BMC public health
DO - 10.1186/s12889-026-28622-4
UR - https://europepmc.org/article/MED/42897539
AB - Background To investigate the association between longitudinal sleep duration trajectories and the risk of cardio-renal-metabolic multimorbidity (CRMM) in a population of postmenopausal women.Methods A total of 2,859 postmenopausal women from the China Health and Retirement Longitudinal Study (CHARLS) were included, with 4 repeated measurements of night sleep duration collected from 2011 to 2018. Group-based trajectory modeling was adopted to identify distinct sleep duration trajectory patterns. Multivariable logistic regression was used to examine the associations between sleep trajectories and incident CRMM ascertained between 2018 and 2020. Subgroup analyses and sensitivity analyses were further conducted to validate the robustness of the findings.Results Three sleep duration trajectory patterns were identified: normal-stable (33.9% of the cohort), normal-fluctuating decline (52.0%), and short-rapid decline (14.1%). During a median follow-up of 2 years, the primary outcome (incident CRMM) occurred in 108 participants (3.8%). Compared with normal-stable group, those in normal-fluctuating decline and short-rapid decline groups had an increased risk of CRMM (ORs of 2.30 [95%CI, 1.35-3.91] and 3.75 [95%CI, 1.99-7.07], respectively) after adjustment for multiple covariates. Subgroup and sensitivity analyses confirmed the robustness of these associations, which were independent of key baseline characteristics and missing data.Conclusion In postmenopausal women, short and declining sleep duration trajectories are strong, independent risk factors for CRMM. Public health and clinical interventions should prioritize maintaining stable, adequate sleep to mitigate multimorbidity risk in this population.
SN - 1471-2458
ER -