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Leisure‐Time Physical Activity, Sedentary Behavior, and Biological Aging: Evidence From Genetic Correlation and Mendelian Randomization Analyses
Xunying Zhao, Xueyao Wu, Lin He, Jinyu Xiao, Rong Xiang, Linna Sha, Mingshuang Tang, Hao Yu, Yang Qu, Changfeng Xiao, Chenjiarui Qin, Jiaojiao Hou, Qin Deng, Jiangbo Zhu, Sirui Zheng
Scandinavian Journal of Medicine and Science in Sports · 2025 · ▲ 4 citations
Abstract
ABSTRACT Physical inactivity and sedentary behavior are associated with higher risks of age‐related morbidity and mortality. However, whether they causally contribute to accelerating biological aging has not been fully elucidated. Utilizing the largest available genome‐wide association study (GWAS) summary data, we implemented a comprehensive analytical framework to investigate the associations between genetically predicted moderate‐to‐vigorous leisure‐time physical activity (MVPA), leisure screen time (LST), and four epigenetic age acceleration (EAA) measures: HannumAgeAccel, intrinsic HorvathAgeAccel, PhenoAgeAccel, and GrimAgeAccel. Shared genetic backgrounds across these traits were quantified through genetic correlation analysis. Overall and independent associations were assessed through univariable and multivariable Mendelian randomization (MR). A recently developed tissue‐partitioned MR approach was further adopted to explore potential tissue‐specific pathways that contribute to the observed associations. Among the four EAA measures investigated, consistent results were identified for PhenoAgeAccel and GrimAgeAccel. These two measures were negatively genetically correlated with MVPA ( r g = −0.18 to −0.29) and positively genetically correlated with LST ( r g = 0.22–0.37). Univariable MR yielded a robust effect of genetically predicted LST on GrimAgeAccel ( β IVW = 0.69, p = 1.10 × 10 −7 ), while genetically predicted MVPA ( β IVW = −1.02, p = 1.50 × 10 −2 ) and LST ( β IVW = 0.37, p = 1.90 × 10 −2 ) showed marginal effects on PhenoAgeAccel. Multivariable MR suggested an independent association between genetically predicted LST and GrimAgeAccel after accounting for MVPA and other important confounders. Tissue‐partitioned MR suggested skeletal muscle tissue associated variants to be predominantly responsible for driving the effect of LST on GrimAgeAccel. Findings support sedentary lifestyles as a modifiable risk factor in accelerating epigenetic aging, emphasizing the need for preventive strategies to reduce sedentary screen time for healthy aging.
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- DOI
- 10.1111/sms.70014
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- 2026-10-16 MST
Cite this
APA
Zhao, X., Wu, X., He, L., Xiao, J., Xiang, R., Sha, L., Tang, M., Yu, H., Qu, Y., Xiao, C., Qin, C., Hou, J., Deng, Q., Zhu, J., Zheng, S., Zhou, J., Yu, T., Yang, B.T., Song, X., & Han, T. (2025). Leisure‐Time Physical Activity, Sedentary Behavior, and Biological Aging: Evidence From Genetic Correlation and Mendelian Randomization Analyses. <em>Scandinavian Journal of Medicine and Science in Sports</em>. https://doi.org/10.1111/sms.70014
Vancouver
Zhao X, Wu X, He L, Xiao J, Xiang R, Sha L, et al. Leisure‐Time Physical Activity, Sedentary Behavior, and Biological Aging: Evidence From Genetic Correlation and Mendelian Randomization Analyses. Scandinavian Journal of Medicine and Science in Sports. 2025. doi:10.1111/sms.70014.
BibTeX
@article{xunying2025Leisur,
title = {Leisure‐Time Physical Activity, Sedentary Behavior, and Biological Aging: Evidence From Genetic Correlation and Mendelian Randomization Analyses},
author = {Xunying Zhao and Xueyao Wu and Lin He and Jinyu Xiao and Rong Xiang and Linna Sha and Mingshuang Tang and Hao Yu and Yang Qu and Changfeng Xiao and Chenjiarui Qin and Jiaojiao Hou and Qin Deng and Jiangbo Zhu and Sirui Zheng and Jinyu Zhou and Ting Yu and Bin Tang Yang and Xin Song and Tao Han and Jiaqiang Liao and Tao Zhang and Mengyu Fan and Jiayuan Li and Xia Jiang},
journal = {Scandinavian Journal of Medicine and Science in Sports},
year = {2025},
doi = {10.1111/sms.70014},
}
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