Relationship between physical activity, sleep and aging: a Mendelian randomization study_West China Medical Journal

Authors：

LONG Lifang ¹ , WEI Lin ² , WANG Qiuting ² , XIE Jiaxin ³ , ZHU Xinxin ¹ , XIE Xiangqi ³ ,  LIN Meizhen ^1,2

1. School of Nursing, Hunan University of Chinese Medicine, Changsha, Hunan 410208, P. R. China;
2. Nursing Department, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, P. R. China;
3. The Second Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, P. R. China;

Corresponding author：

LIN Meizhen, Email: lmzmay@163.com

Keywords：

Physical activity; sleep; aging; Mendelian randomization

DOI：

10.7507/1002-0179.202309067

Video：

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Objective To explore the correlation between physical activity, sleep and aging using a two-sample Mendelian randomization (MR) method. Methods The data through genome-wide association studies was summarized. The single nucleotide polymorphisms (SNPs) related to physical activity and sleep as instrumental variables was selected. The inverse variance weighting method was used for the main analyses, complemented by the weighted median method and MR Egger regression, and then sensitivity analyses were carried out in terms of multiplicity, heterogeneity and leave-one-out method. Finally, multivariate Mendelian methods were applied to eliminate confounders and find mediators. Results A total of two types of physical activity (strong physical activity, physical inactivity) and three sleep conditions (daytime naps, short sleep duration, adequate sleep duration) were found to have a causal relationship with frailty index (P<0.05), while physical inactivity was found to have a causal relationship with telomere length (P<0.05). A total of 167 SNPs were included in the analysis. Strong physical activity [correlation coefficient (β)=−1.26, 95% confidence interval (CI) (−1.60, −0.96), P<0.0001], adequate sleep duration [β=−0.17, 95%CI (−0.26, −0.09), P<0.001] were negatively correlated with the frailty index. Physical inactivity [β=1.47, 95%CI (0.85, 2.08), P<0.001], daytime naps [β=0.25, 95%CI (0.12, 0.39), P=0.0002], and short sleep duration [β=0.20, 95%CI (0.13, 0.27), P<0.0001] were positively associated with frailty index. Physical inactivity [β=−0.38, 95%CI (−0.69, −0.07), P=0.02] was negatively correlated with telomere length. Percentage body fat, body fat mass, waist circumference, body weight and body mass index partially mediated 25.52%, 23.52%, 10.08%, 17.6% and 10.08% of the effect between daytime naps and frailty index, respectively. Conclusion There is a causal relationship between physical activity, sleep, and aging.

Citation： LONG Lifang, WEI Lin, WANG Qiuting, XIE Jiaxin, ZHU Xinxin, XIE Xiangqi, LIN Meizhen. Relationship between physical activity, sleep and aging: a Mendelian randomization study. West China Medical Journal, 2024, 39(5): 776-783. doi: 10.7507/1002-0179.202309067 Copy

1.	夏天吉, 闫明珠, 王智, 等. 大小鼠失眠模型和评价方法研究进展. 中国实验动物学报, 2022, 30(3): 428-435.
2.	黄鑫, 李苏宁, 尹军祥, 等. 我国睡眠障碍防控研究现状及建议. 四川大学学报(医学版), 2023, 54(2): 226-230.
3.	林瑜. 我国体力活动研究现状评述. 鄂州大学学报, 2019, 26(1): 103-104.
4.	荣璠, 万宇辉. 体力活动影响衰老的研究进展. 现代预防医学, 2022, 49(8): 1453-1456, 1461.
5.	Chen Z, Chen Z, Jin X. Mendelian randomization supports causality between overweight status and accelerated aging. Aging Cell, 2023, 22(8): e13899.
6.	潘贤丽, 苏增锋. 失眠与端粒长度和衰老的相关性研究进展. 中华全科医学, 2023, 21(3): 481-484.
7.	和思敏, 张雨, 彭刘庆, 等. 倾向性评分与孟德尔随机化国内研究现状. 中华疾病控制杂志, 2022, 26(3): 325-330.
8.	于天琦, 徐文涛, 苏雅娜, 等. 孟德尔随机化研究基本原理、方法和局限性. 中国循证医学杂志, 2021, 21(10): 1227-1234.
9.	Zhao G, Lu Z, Sun Y, et al. Dissecting the causal association between social or physical inactivity and depression: a bidirectional two-sample Mendelian randomization study. Transl Psychiatry, 2023, 13(1): 194.
10.	Dashti HS, Jones SE, Wood AR, et al. Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates. Nat Commun, 2019, 10(1): 1100.
11.	Hemani G, Zheng J, Elsworth B, et al. The MR-base platform supports systematic causal inference across the human phenome. Elife, 2018, 7: e34408.
12.	Curtin F, Schulz P. Multiple correlations and Bonferroni’s correction. Biol Psychiatry, 1998, 44(8): 775-777.
13.	Burgess S, Davies NM, Thompson SG. Bias due to participant overlap in two-sample Mendelian randomization. Genet Epidemiol, 2016, 40(7): 597-608.
14.	Burgess S, Bowden J, Fall T, et al. Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants. Epidemiology, 2017, 28(1): 30-42.
15.	Burgess S, Thompson SG. Erratum to: interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol, 2017, 32(5): 391-392.
16.	Bowden J, Davey Smith G, Haycock PC, et al. Consistent estimation in Mendelian randomization with Some Invalid Instruments Using a Weighted Median Estimator. Genet Epidemiol, 2016, 40(4): 304-314.
17.	Greco MFD, Minelli C, Sheehan NA, et al. Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome. Stat Med, 2015, 34(21): 2926-2940.
18.	Yuan S, Levin MG, Titova OE, et al. Sleep duration, daytime napping, and risk of peripheral artery disease: multinational cohort and Mendelian randomization studies. Eur Heart J Open, 2023, 3(2): oead008.
19.	Li P, Gao L, Yu L, et al. Daytime napping and Alzheimer’s dementia: a potential bidirectional relationship. Alzheimers Dement, 2023, 19(1): 158-168.
20.	Wang X, Xu Y, Li X, et al. Day-to-day deviations in sleep parameters and biological aging: findings from the NHANES 2011-2014. Sleep Health, 2023, 9(6): 940-946.
21.	Mc Carthy CE, Yusuf S, Judge C, et al. Sleep patterns and the risk of acute stroke: results from the INTERSTROKE international case-control study. Neurology, 2023, 100(21): e2191-e2203.
22.	周妍欣, 赵丹, 王惜媛, 等. 农村慢性病老年人口腔健康与心理健康关系及睡眠质量的中介作用. 中国公共卫生, 2023, 39(4): 462-466.
23.	健康中国行动推进委员会. 健康中国行动(2019—2030 年): 总体要求、重大行动及主要指标. 中国循环杂志, 2019, 34(9): 846-858.
24.	冯佳, 王洁, 余丹, 等. 2010—2021 年国内外老年多重慢病研究热点分析. 中国全科医学, 2023, 26(21): 2574-2580.
25.	Boonpor J, Parra-soto S, Petermann-Rocha F, et al. Dose-response relationship between device-measured physical activity and incident type 2 diabetes: findings from the UK biobank prospective cohort study. BMC Med, 2023, 21(1): 191.
26.	Anderson E, Durstine JL. Physical activity, exercise, and chronic diseases: a brief review. Sports Med Health Sci, 2019, 1(1): 3-10.
27.	Ho FK, Zhou Z, Petermann-rocha F, et al. Association between device-measured physical activity and incident heart failure: a prospective cohort study of 94 739 UK biobank participants. Circulation, 2022, 146(12): 883-891.
28.	Lancet. Loneliness as a health issue. Lancet, 2023, 402(10396): 79.
29.	Pearce M, Garcia L, Abbas A, et al. Association between physical activity and risk of depression: a systematic review and meta-analysis. JAMA Psychiatry, 2022, 79(6): 550-559.
30.	Jepsen CH, Bowman-Busato J, Allvin T, et al. Achieving consensus on the language of obesity: a modified Delphi study. EClinicalMedicine, 2023, 62: 102061.
31.	Ma L, Chu M, Li Y, et al. Bidirectional relationships between weight stigma and pediatric obesity: a systematic review and meta-analysis. Obes Rev, 2021, 22(6): e13178.
32.	Masroor M, Haque Z. HbA_1C as a biomarker of non-alcoholic fatty liver disease: comparison with anthropometric parameters. J Clin Transl Hepatol, 2021, 9(1): 15-21.
33.	Fang H, Xie F, Li K, et al. Association between weight-adjusted-waist index and risk of cardiovascular diseases in United States adults: a cross-sectional study. BMC Cardiovasc Disord, 2023, 23(1): 435.
34.	Liu Y, Peng T, Zhang S, et al. The relationship between depression, daytime napping, daytime dysfunction, and snoring in 0. 5 million Chinese populations: exploring the effects of socio-economic status and age. BMC Public Health, 2018, 18(1): 759.
35.	Dashti HS, Daghlas I, Lane JM, et al. Genetic determinants of daytime napping and effects on cardiometabolic health. Nat Commun, 2021, 12(1): 900.

1. 夏天吉, 闫明珠, 王智, 等. 大小鼠失眠模型和评价方法研究进展. 中国实验动物学报, 2022, 30(3): 428-435.
2. 黄鑫, 李苏宁, 尹军祥, 等. 我国睡眠障碍防控研究现状及建议. 四川大学学报(医学版), 2023, 54(2): 226-230.
3. 林瑜. 我国体力活动研究现状评述. 鄂州大学学报, 2019, 26(1): 103-104.
4. 荣璠, 万宇辉. 体力活动影响衰老的研究进展. 现代预防医学, 2022, 49(8): 1453-1456, 1461.
5. Chen Z, Chen Z, Jin X. Mendelian randomization supports causality between overweight status and accelerated aging. Aging Cell, 2023, 22(8): e13899.
6. 潘贤丽, 苏增锋. 失眠与端粒长度和衰老的相关性研究进展. 中华全科医学, 2023, 21(3): 481-484.
7. 和思敏, 张雨, 彭刘庆, 等. 倾向性评分与孟德尔随机化国内研究现状. 中华疾病控制杂志, 2022, 26(3): 325-330.
8. 于天琦, 徐文涛, 苏雅娜, 等. 孟德尔随机化研究基本原理、方法和局限性. 中国循证医学杂志, 2021, 21(10): 1227-1234.
9. Zhao G, Lu Z, Sun Y, et al. Dissecting the causal association between social or physical inactivity and depression: a bidirectional two-sample Mendelian randomization study. Transl Psychiatry, 2023, 13(1): 194.
10. Dashti HS, Jones SE, Wood AR, et al. Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates. Nat Commun, 2019, 10(1): 1100.
11. Hemani G, Zheng J, Elsworth B, et al. The MR-base platform supports systematic causal inference across the human phenome. Elife, 2018, 7: e34408.
12. Curtin F, Schulz P. Multiple correlations and Bonferroni’s correction. Biol Psychiatry, 1998, 44(8): 775-777.
13. Burgess S, Davies NM, Thompson SG. Bias due to participant overlap in two-sample Mendelian randomization. Genet Epidemiol, 2016, 40(7): 597-608.
14. Burgess S, Bowden J, Fall T, et al. Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants. Epidemiology, 2017, 28(1): 30-42.
15. Burgess S, Thompson SG. Erratum to: interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol, 2017, 32(5): 391-392.
16. Bowden J, Davey Smith G, Haycock PC, et al. Consistent estimation in Mendelian randomization with Some Invalid Instruments Using a Weighted Median Estimator. Genet Epidemiol, 2016, 40(4): 304-314.
17. Greco MFD, Minelli C, Sheehan NA, et al. Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome. Stat Med, 2015, 34(21): 2926-2940.
18. Yuan S, Levin MG, Titova OE, et al. Sleep duration, daytime napping, and risk of peripheral artery disease: multinational cohort and Mendelian randomization studies. Eur Heart J Open, 2023, 3(2): oead008.
19. Li P, Gao L, Yu L, et al. Daytime napping and Alzheimer’s dementia: a potential bidirectional relationship. Alzheimers Dement, 2023, 19(1): 158-168.
20. Wang X, Xu Y, Li X, et al. Day-to-day deviations in sleep parameters and biological aging: findings from the NHANES 2011-2014. Sleep Health, 2023, 9(6): 940-946.
21. Mc Carthy CE, Yusuf S, Judge C, et al. Sleep patterns and the risk of acute stroke: results from the INTERSTROKE international case-control study. Neurology, 2023, 100(21): e2191-e2203.
22. 周妍欣, 赵丹, 王惜媛, 等. 农村慢性病老年人口腔健康与心理健康关系及睡眠质量的中介作用. 中国公共卫生, 2023, 39(4): 462-466.
23. 健康中国行动推进委员会. 健康中国行动(2019—2030 年): 总体要求、重大行动及主要指标. 中国循环杂志, 2019, 34(9): 846-858.
24. 冯佳, 王洁, 余丹, 等. 2010—2021 年国内外老年多重慢病研究热点分析. 中国全科医学, 2023, 26(21): 2574-2580.
25. Boonpor J, Parra-soto S, Petermann-Rocha F, et al. Dose-response relationship between device-measured physical activity and incident type 2 diabetes: findings from the UK biobank prospective cohort study. BMC Med, 2023, 21(1): 191.
26. Anderson E, Durstine JL. Physical activity, exercise, and chronic diseases: a brief review. Sports Med Health Sci, 2019, 1(1): 3-10.
27. Ho FK, Zhou Z, Petermann-rocha F, et al. Association between device-measured physical activity and incident heart failure: a prospective cohort study of 94 739 UK biobank participants. Circulation, 2022, 146(12): 883-891.
28. Lancet. Loneliness as a health issue. Lancet, 2023, 402(10396): 79.
29. Pearce M, Garcia L, Abbas A, et al. Association between physical activity and risk of depression: a systematic review and meta-analysis. JAMA Psychiatry, 2022, 79(6): 550-559.
30. Jepsen CH, Bowman-Busato J, Allvin T, et al. Achieving consensus on the language of obesity: a modified Delphi study. EClinicalMedicine, 2023, 62: 102061.
31. Ma L, Chu M, Li Y, et al. Bidirectional relationships between weight stigma and pediatric obesity: a systematic review and meta-analysis. Obes Rev, 2021, 22(6): e13178.
32. Masroor M, Haque Z. HbA_1C as a biomarker of non-alcoholic fatty liver disease: comparison with anthropometric parameters. J Clin Transl Hepatol, 2021, 9(1): 15-21.
33. Fang H, Xie F, Li K, et al. Association between weight-adjusted-waist index and risk of cardiovascular diseases in United States adults: a cross-sectional study. BMC Cardiovasc Disord, 2023, 23(1): 435.
34. Liu Y, Peng T, Zhang S, et al. The relationship between depression, daytime napping, daytime dysfunction, and snoring in 0. 5 million Chinese populations: exploring the effects of socio-economic status and age. BMC Public Health, 2018, 18(1): 759.
35. Dashti HS, Daghlas I, Lane JM, et al. Genetic determinants of daytime napping and effects on cardiometabolic health. Nat Commun, 2021, 12(1): 900.

West China Medical Journal

Relationship between physical activity, sleep and aging: a Mendelian randomization study

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