| Title: | Combined effects of genetic predisposition and sleep quality on acceleration of biological ageing: Findings from the UK biobank cohort |
| Journal: | Archives of Gerontology and Geriatrics |
| Published: | 7 Jun 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38896974/ |
| DOI: | https://doi.org/10.1016/j.archger.2024.105525 |
Publication 11898
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Abstract
OBJECTIVE: Genetic risks can accelerate ageing, yet better quality sleep may slow down it. We thus examined the interaction and combined effects of genetic predisposition and sleep quality on the risk of accelerate aging.</p>
METHODS: This study included 407,027 participants from the UK Biobank. Sleep index of each participant was retrieved from the following seven sleep behaviors: snoring, chronotype, daytime sleepiness, sleep duration, insomnia, nap and difficulties in getting up. The biological age (PhenoAge) were estimated by corresponding algorithms based on clinical traits, and their residual discrepancies with chronological age were defined as the age accelerations (PhenoAgeaccel). We explored the interaction and combined effects of genetic risk and sleep quality on accelerated ageing by constructing a linear model.</p>
RESULTS: Compared with participants in low sleep quality group, those in medium and high sleep quality group decreased 0.727 (95%CI, 0.653 to 0.801) and 1.056 (95%CI, 0.982 to 1.130) years of PhenoAgeaccel, respectively. Compared with participants in low genetic risk group, those in medium and high genetic risk group increased 0.833 (95%CI, 0.792 to 0.874) and 1.543 (95%CI, 1.494 to 1.592) years of PhenoAgeaccel, respectively. There was interaction between the genetic risk and sleep quality (P-interaction<0.001). For combined effect, compared to the group with high sleep quality and lower genetic risk, people with low sleep quality and high genetic risk had 2.747 (95%CI, 2.602 to 2.892) years higher PhenoAgeaccel.</p>
CONCLUSION: Our findings elucidate that better sleep quality could lessen accelerated biological ageing especially among population with high genetic risk.</p>
8 Authors
- Chenyu Zhao
- Yongli Yang
- Yuping Wang
- Xiaocan Jia
- Jingwen Fan
- Nana Wang
- Yacong Bo
- Xuezhong Shi
1 Application
| Application ID | Title |
|---|---|
| 93398 | Investigating the risk factors of non-communicable chronic disease using biomarkers, lifestyle factors, and environmental factors |
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