| Title: | U-shaped association between sleep duration and biological aging: Evidence from the UK Biobank study. |
| Journal: | Aging Cell |
| Published: | 31 Mar 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38556842/ |
| DOI: | https://doi.org/10.1111/acel.14159 |
| URL: | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/acel.14159 |
Publication 10005
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Abstract
Previous research on sleep and aging largely has failed to illustrate the optimal dose-response curve of this relationship. We aimed to analyze the associations between sleep duration and measures of predicted age. In total, 241,713 participants from the UK Biobank were included. Habitual sleep duration was collected from the baseline questionnaire. Four indicators, homeostatic dysregulation (HD), phenoAge (PA), Klemera-Doubal method (KDM), and allostatic load (AL), were chosen to assess predicted age. Multivariate linear regression models were utilized. The association of sleep duration and predicted age followed a U-shape (All p for nonlinear <0.05). Compared with individuals who sleep for 7 h/day, the multivariable-adjusted beta of ≤5 and ≥9 h/day were 0.05 (95% CI 0.03, 0.07) and 0.03 (95% CI 0.02, 0.05) for HD, 0.08 (95% CI 0.01, 0.14) and 0.36 (95% CI 0.31, 0.41) for PA, and 0.21 (95% CI 0.12, 0.30) and 0.30 (95% CI 0.23, 0.37) for KDM. Significant independent and joint effects of sleep and cystatin C (CysC) and gamma glutamyltransferase (GGT) on predicted age metrics were future found. Similar results were observed when conducting stratification analyses. Short and long sleep duration were associated with accelerated predicted age metrics mediated by CysC and GGT.</p>
10 Authors
- Xuanyang Wang
- Xuemin Yan
- Mengdi Li
- Licheng Cheng
- Xiang Qi
- Jia Zhang
- Sijia Pan
- Xiaoqing Xu
- Wei Wei
- Ying Li
1 Application
| Application ID | Title |
|---|---|
| 103547 | The health impacts of lifestyle and environmental factors exposed at different life stages on aging and non-communicable chronic diseases |
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