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Combined effects of genetic predisposition and sleep quality on acceleration of biological ageing: Findings from the UK biobank cohort. | LitMetric

Combined effects of genetic predisposition and sleep quality on acceleration of biological ageing: Findings from the UK biobank cohort.

Arch Gerontol Geriatr

College of Public Health, Zhengzhou University, No.100 Science Avenue, Zhengzhou, Henan, 450001, China. Electronic address:

Published: November 2024

AI Article Synopsis

  • The study investigates how genetic risks and sleep quality interact to influence the acceleration of biological aging among over 400,000 participants from the UK Biobank.
  • Participants were evaluated on various sleep behaviors, and their biological ages were calculated to determine age acceleration.
  • Results showed that improved sleep quality significantly reduces biological age acceleration, particularly for individuals with high genetic risk.

Article 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.

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.

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.

Conclusion: Our findings elucidate that better sleep quality could lessen accelerated biological ageing especially among population with high genetic risk.

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Source
http://dx.doi.org/10.1016/j.archger.2024.105525DOI Listing

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