Associations between cardiorespiratory fitness and lifestyle-related factors with DNA methylation-based ageing clocks in older men: WASEDA'S Health Study.
body composition
chronotype
drinking
elderly Japanese men
epigenetic clock
micronutrients
peak oxygen uptake
smoking
Journal
Aging cell
ISSN: 1474-9726
Titre abrégé: Aging Cell
Pays: England
ID NLM: 101130839
Informations de publication
Date de publication:
16 Aug 2023
16 Aug 2023
Historique:
revised:
31
07
2023
received:
14
04
2023
accepted:
02
08
2023
pubmed:
16
8
2023
medline:
16
8
2023
entrez:
16
8
2023
Statut:
aheadofprint
Résumé
DNA methylation-based age estimators (DNAm ageing clocks) are currently one of the most promising biomarkers for predicting biological age. However, the relationships between cardiorespiratory fitness (CRF), measured directly by expiratory gas analysis, and DNAm ageing clocks are largely unknown. We investigated the relationships between CRF and the age-adjusted value from the residuals of the regression of DNAm ageing clock to chronological age (DNAmAgeAcceleration: DNAmAgeAccel) and attempted to determine the relative contribution of CRF to DNAmAgeAccel in the presence of other lifestyle factors. DNA samples from 144 Japanese men aged 65-72 years were used to appraise first- (i.e., DNAmHorvath and DNAmHannum) and second- (i.e., DNAmPhenoAge, DNAmGrimAge, and DNAmFitAge) generation DNAm ageing clocks. Various surveys and measurements were conducted, including physical fitness, body composition, blood biochemical parameters, nutrient intake, smoking, alcohol consumption, disease status, sleep status, and chronotype. Both oxygen uptake at ventilatory threshold (VO
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e13960Subventions
Organisme : Japan Society for the Promotion of Science
ID : Grant-in-Aid for Early-Career Scientists/20K19520
Organisme : Waseda University
ID : Grant for Special Research Projects (2020-410)
Informations de copyright
© 2023 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd.
Références
Araki, E., Goto, A., Kondo, T., Noda, M., Noto, H., Origasa, H., & Osawa, H. (2020). Japanese clinical practice guideline for diabetes 2019. Diabetology International, 11(3), 165-223. https://doi.org/10.1007/s13340-020-00439-5
Arem, H., Moore, S. C., Patel, A., Hartge, P., Berrington De Gonzalez, A., Visvanathan, K., Campbell, P. T., Freedman, M., Weiderpass, E., Adami, H. O., Linet, M. S., Lee, I. M., & Matthews, C. E. (2015). Leisure time physical activity and mortality: A detailed pooled analysis of the dose-response relationship. JAMA Internal Medicine, 175(6), 959-967. https://doi.org/10.1001/jamainternmed.2015.0533
Arpón, A., Milagro, F. I., Santos, J. L., García-Granero, M., Riezu-Boj, J. I., & Martínez, J. A. (2019). Interaction among sex, aging, and epigenetic processes concerning visceral fat, insulin resistance, and dyslipidaemia. Frontiers in Endocrinology, 10, 496. https://doi.org/10.3389/fendo.2019.00496
Backhaus, J., Junghanns, K., Broocks, A., Riemann, D., & Hohagen, F. (2002). Test-retest reliability and validity of the Pittsburgh sleep quality index in primary insomnia. Journal of Psychosomatic Research, 53, 737-740. https://doi.org/10.1016/S0022-3999(02)00330-6
Baker, G. T., & Sprott, R. L. (1988). Biomarkers of aging. Experimental Gerontology, 23, 223-239. https://doi.org/10.1016/0531-5565(88)90025-3
Bassett, D. R., & Howley, E. T. (2000). Limiting factors for maximum oxygen uptake and determinants of endurance performance./Facteurs limitants de la consommation maximale d'oxygene et determinants de la performance d'endurance. Medicine & Science in Sports & Exercise, 32(1), 70-84.
Blair, S. N., Kohl, H. W., Paffenberger, R. S., Clark, D. G., Cooper, K. H., & Gibbons, L. W. (1989). Physical fitness and all-cause mortality. JAMA, 262(17), 2395-2401.
Campisi, J., Kapahi, P., Lithgow, G. J., Melov, S., Newman, J. C., & Verdin, E. (2019). From discoveries in ageing research to therapeutics for healthy ageing. Nature, 571(7764), 183-192. https://doi.org/10.1038/s41586-019-1365-2
Carroll, J. E., Irwin, M. R., Levine, M., Seeman, T. E., Absher, D., Assimes, T., & Horvath, S. (2017). Epigenetic aging and immune senescence in women with insomnia symptoms: Findings from the women's health initiative study. Biological Psychiatry, 81(2), 136-144. https://doi.org/10.1016/j.biopsych.2016.07.008
Carskadon, M. A., Chappell, K. R., Barker, D. H., Hart, A. C., Dwyer, K., Gredvig-Ardito, C., Starr, C., & McGeary, J. E. (2019). A pilot prospective study of sleep patterns and DNA methylation-characterized epigenetic aging in young adults. BMC Research Notes, 12(1), 583. https://doi.org/10.1186/s13104-019-4633-1
Caspersen, C., Kenneth, E. P., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Reports, s9-IX(228), 365-366. https://doi.org/10.1093/nq/s9-IX.228.365-f
Chakravarty, E. F., Hubert, H. B., Lingala, V. B., & Fries, J. F. (2008). Reduced disability and mortality among aging runners. Archives of Internal Medicine, 168(15), 1638-1647. https://doi.org/10.1097/01.jsm.0000358879.23116.98
Chen, L. K., Woo, J., Assantachai, P., Auyeung, T. W., Chou, M. Y., Iijima, K., Jang, H. C., Kang, L., Kim, M., Kim, S., Kojima, T., Kuzuya, M., Lee, J. S. W., Lee, S. Y., Lee, W. J., Lee, Y., Liang, C. K., Lim, J. Y., Lim, W. S., … Arai, H. (2020). Asian working group for sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. Journal of the American Medical Directors Association, 21(3), 300-307.e2. https://doi.org/10.1016/j.jamda.2019.12.012
Chow, L. S., Gerszten, R. E., Taylor, J. M., Pedersen, B. K., van Praag, H., Trappe, S., Febbraio, M. A., Galis, Z. S., Gao, Y., Haus, J. M., Lanza, I. R., Lavie, C. J., Lee, C. H., Lucia, A., Moro, C., Pandey, A., Robbins, J. M., Stanford, K. I., Thackray, A. E., … Snyder, M. P. (2022). Exerkines in health, resilience and disease. Nature Reviews Endocrinology, 18(5), 273-289. https://doi.org/10.1038/s41574-022-00641-2
Crimmins, E. M., Thyagarajan, B., Levine, M. E., Weir, D. R., & Faul, J. (2021). Associations of age, sex, race/ethnicity, and education with 13 epigenetic clocks in a nationally representative U.S. sample: The health and retirement study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 76(6), 1117-1123. https://doi.org/10.1093/gerona/glab016
Dabrowski, J. K., Yang, E. J., Crofts, S. J. C., Hillary, R. F., Simpson, D. J., Mccartney, D. L., Marioni, R. E., Latorre-Crespo, E., & Chandra, T. (2023). Probabilistic inference of epigenetic age acceleration from cellular dynamics. BioRxiv. https://doi.org/10.1101/2023.03.01.530570
Doi, Y., Minowa, M., Uchiyama, M., Okawa, M., Kim, K., Shibui, K., & Kamei, Y. (2000). Psychometric assessment of subjective sleep quality using the Japanese version of the Pittsburgh sleep quality index (PSQI-J) in psychiatric disordered and control subjects. Psychiatry Research, 97(2-3), 165-172. https://doi.org/10.1016/s0165-1781(00)00232-8
Fahy, G. M., Brooke, R. T., Watson, J. P., Good, Z., Vasanawala, S. S., Maecker, H., Leipold, M. D., Lin, D. T. S., Kobor, M. S., & Horvath, S. (2019). Reversal of epigenetic aging and immunosenescent trends in humans. Aging Cell, 18(6), 1-12. https://doi.org/10.1111/acel.13028
Fiorito, G., Caini, S., Palli, D., Bendinelli, B., Saieva, C., Ermini, I., Valentini, V., Assedi, M., Rizzolo, P., Ambrogetti, D., Ottini, L., & Masala, G. (2021). DNA methylation-based biomarkers of aging were slowed down in a two-year diet and physical activity intervention trial: The DAMA study. Aging Cell, 20(10), 1-13. https://doi.org/10.1111/acel.13439
Fitzgerald, K. N., Hodges, R., Hanes, D., Stack, E., Cheishvili, D., Szyf, M., Henkel, J., Twedt, M. W., Giannopoulou, D., Herdell, J., Logan, S., & Bradley, R. (2021). Potential reversal of epigenetic age using a diet and lifestyle intervention: A pilot randomized clinical trial. Aging, 13(7), 9419-9432. https://doi.org/10.18632/aging.202913
Fox, F. A. U., Liu, D., Breteler, M. M. B., & Aziz, N. A. (2023). Physical activity is associated with slower epigenetic ageing-Findings from the Rhineland study. Aging Cell, 22(6), 1-21. https://doi.org/10.1111/acel.13828
Freni-Sterrantino, A., Fiorito, G., D'Errico, A., Robinson, O., Virtanen, M., Ala-Mursula, L., Järvelin, M. R., Ronkainen, J., & Vineis, P. (2022). Work-related stress and well-being in association with epigenetic age acceleration: A northern Finland birth cohort 1966 study. Aging, 14(3), 1128-1144. https://doi.org/10.18632/aging.203872
Gale, C. R., Marioni, R. E., Čukić, I., Chastin, S. F., Dall, P., Dontje, M. L., Skelton, D. A., Deary, I., & Seniors USP Team. (2018). The epigenetic clock and objectively measured sedentary and walking behavior in older adults: The Lothian birth cohort 1936. Clinical Epigenetics, 10(1), 1-6. https://doi.org/10.1186/s13148-017-0438-z
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S. V., Klotzle, B., Bibikova, M., Fan, J. B., Gao, Y., Deconde, R., Chen, M., Rajapakse, I., Friend, S., Ideker, T., & Zhang, K. (2013). Genome-wide methylation profiles reveal quantitative views of human aging rates. Molecular Cell, 49(2), 359-367. https://doi.org/10.1016/j.molcel.2012.10.016
Horvath, S. (2013). DNA methylation age of human tissues and cell types. Genome Biology, 14, R115. https://doi.org/10.1186/s13059-015-0649-6
Horvath, S., Erhart, W., Brosch, M., Ammerpohl, O., Von Schönfels, W., Ahrens, M., Heits, N., Bell, J. T., Tsai, P. C., Spector, T. D., Deloukas, P., Siebert, R., Sipos, B., Becker, T., Röcken, C., Schafmayer, C., & Hampe, J. (2014). Obesity accelerates epigenetic aging of human liver. Proceedings of the National Academy of Sciences of the United States of America, 111(43), 15538-15543. https://doi.org/10.1073/pnas.1412759111
Horvath, S., Gurven, M., Levine, M. E., Trumble, B. C., Kaplan, H., Allayee, H., Ritz, B. R., Chen, B., Lu, A. T., Rickabaugh, T. M., Jamieson, B. D., Sun, D., Li, S., Chen, W., Quintana-Murci, L., Fagny, M., Kobor, M. S., Tsao, P. S., Reiner, A. P., … Assimes, T. L. (2016). An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease. Genome Biology, 17(1), 171. https://doi.org/10.1186/s13059-016-1030-0
Ishihara, K., Miyashita, A., Inugami, M., Fukuda, K., Yamazaki, K., & Miyata, Y. (1986). The results of investigation by the Japanese version of morningness-eveningness questionnaire. Shinrigaku Kenkyu, 57(2), 87-91. https://doi.org/10.4992/jjpsy.57.87
Ito, T., Kawakami, R., Tanisawa, K., Miyawaki, R., Ishii, K., Torii, S., Suzuki, K., Sakamoto, S., Muraoka, I., Oka, K., Higuchi, M., & WASEDA'S Health Study Group. (2019). Dietary patterns and abdominal obesity in middle-aged and elderly Japanese adults: Waseda Alumni's sports, exercise, daily activity, sedentariness and health study (WASEDA'S health study). Nutrition, 58, 149-155. https://doi.org/10.1016/j.nut.2018.05.029
Ito, T., Tanisawa, K., Kawakami, R., Usui, C., Ishii, K., Suzuki, K., Sakamoto, S., Muraoka, I., Oka, K., & Higuchi, M. (2019). Micronutrient intake adequacy in men and women with a healthy japanese dietary pattern. Nutrients, 12(1), 6. https://doi.org/10.3390/nu12010006
Jokai, M., Torma, F., McGreevy, K. M., Koltai, E., Bori, Z., Babszki, G., Bakonyi, P., Gombos, Z., Gyorgy, B., Aczel, D., Toth, L., Osvath, P., Fridvalszky, M., Teglas, T., Posa, A., Kujach, S., Olek, R., Kawamura, T., Seki, Y., … Radak, Z. (2023). DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation. GeroScience, Online ahead of print. https://doi.org/10.1007/s11357-023-00826-1
Jylhävä, J., Pedersen, N. L., & Hägg, S. (2017). Biological age predictors. eBioMedicine, 21, 29-36. https://doi.org/10.1016/j.ebiom.2017.03.046
Kaminsky, L. A., Arena, R., Myers, J., Peterman, J. E., Bonikowske, A. R., Harber, M. P., Medina Inojosa, J. R., Lavie, C. J., & Squires, R. W. (2022). Updated reference standards for cardiorespiratory fitness measured with cardiopulmonary exercise testing: Data from the fitness registry and the importance of exercise National Database (FRIEND). Mayo Clinic Proceedings, 97(2), 285-293. https://doi.org/10.1016/j.mayocp.2021.08.020
Kankaanpää, A., Tolvanen, A., Bollepalli, S., Leskinen, T., Kujala, U. M., Kaprio, J., Ollikainen, M., & Sillanpää, E. (2021). Leisure-time and occupational physical activity associates differently with epigenetic aging. Medicine and Science in Sports and Exercise, 53(3), 487-495. https://doi.org/10.1249/MSS.0000000000002498
Kawakami, R., Miyachi, M., Sawada, S. S., Torii, S., Midorikawa, T., Tanisawa, K., Ito, T., Usui, C., Ishii, K., Suzuki, K., Sakamoto, S., Higuchi, M., Muraoka, I., & Oka, K. (2020). Cut-offs for calf circumference as a screening tool for low muscle mass: WASEDA'S health study. Geriatrics and Gerontology International, 20(10), 943-950. https://doi.org/10.1111/ggi.14025
Kawakami, R., Miyachi, M., Tanisawa, K., Ito, T., Usui, C., Midorikawa, T., Torii, S., Ishii, K., Suzuki, K., Sakamoto, S., Higuchi, M., Muraoka, I., & Oka, K. (2021). Development and validation of a simple anthropometric equation to predict appendicular skeletal muscle mass. Clinical Nutrition, 40(11), 5523-5530. https://doi.org/10.1016/j.clnu.2021.09.032
Kawamura, T., Tanisawa, K., Kawakami, R., Usui, C., Ito, T., Tabata, H., Nakamura, N., Kurosawa, S., Choi, W., Ma, S., Radak, Z., Sawada, S. S., Suzuki, K., Ishii, K., Sakamoto, S., Oka, K., Higuchi, M., & Muraoka, I. (2021). Determinants of resting oxidative stress in middle-aged and elderly men and women: WASEDA'S health study. Oxidative Medicine and Cellular Longevity, 7, 5566880. https://doi.org/10.1155/2021/5566880
Kim, K., Zheng, Y., Joyce, B. T., Jiang, H., Greenland, P., Jacobs, D. R., Zhang, K., Liu, L., Allen, N. B., Wilkins, J. T., Forrester, S. N., Lloyd-Jones, D. M., & Hou, L. (2022). Relative contributions of six lifestyle- and health-related exposures to epigenetic aging: The coronary artery risk development in young adults (CARDIA) study. Clinical Epigenetics, 14(1), 1-12. https://doi.org/10.1186/s13148-022-01304-9
Kobayashi, S., Honda, S., Murakami, K., Sasaki, S., Okubo, H., Hirota, N., Notsu, A., Fukui, M., & Date, C. (2012). Both comprehensive and brief self-administered diet history questionnaires satisfactorily rank nutrient intakes in Japanese adults. Journal of Epidemiology, 22(2), 151-159. https://doi.org/10.2188/jea.JE20110075
Kobayashi, S., Murakami, K., Sasaki, S., Okubo, H., Hirota, N., Notsu, A., Fukui, M., & Date, C. (2011). Comparison of relative validity of food group intakes estimated by comprehensive and brief-type self-administered diet history questionnaires against 16 d dietary records in Japanese adults. Public Health Nutrition, 14(7), 1200-1211. https://doi.org/10.1017/S1368980011000504
Kresovich, J. K., Garval, E. L., Martinez Lopez, A. M., Xu, Z., Niehoff, N. M., White, A. J., Sandler, D. P., & Taylor, J. A. (2021). Associations of body composition and physical activity level with multiple measures of epigenetic age acceleration. American Journal of Epidemiology, 190(6), 984-993. https://doi.org/10.1093/aje/kwaa251
Kulkarni, A. S., Aleksic, S., Berger, D. M., Sierra, F., Kuchel, G. A., & Barzilai, N. (2022). Geroscience-guided repurposing of FDA-approved drugs to target aging: A proposed process and prioritization. Aging Cell, 21(4), 1-23. https://doi.org/10.1111/acel.13596
Lear, S. A., Hu, W., Rangarajan, S., Gasevic, D., Leong, D., Iqbal, R., Casanova, A., Swaminathan, S., Anjana, R. M., Kumar, R., Rosengren, A., Wei, L., Yang, W., Chuangshi, W., Huaxing, L., Nair, S., Diaz, R., Swidon, H., Gupta, R., … Yusuf, S. (2017). The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: The PURE study. The Lancet, 390(10113), 2643-2654. https://doi.org/10.1016/S0140-6736(17)31634-3
Levine, M. E., Lu, A. T., Quach, A., Chen, B. H., Assimes, T. L., Bandinelli, S., Hou, L., Baccarelli, A. A., Stewart, J. D., Li, Y., Whitsel, E. A., Wilson, J. G., Reiner, A. P., Aviv, A., Lohman, K., Liu, Y., Ferrucci, L., & Horvath, S. (2018). An epigenetic biomarker of aging for lifespan and healthspan. Aging, 10(4), 573-591. https://doi.org/10.1145/2820783.2820789
Lin, W. Y. (2023). Epigenetic clocks derived from western samples differentially reflect Taiwanese health outcomes. Frontiers in Genetics, 14, 1-10. https://doi.org/10.3389/fgene.2023.1089819
Lowsky, D. J., Olshansky, S. J., Bhattacharya, J., & Goldman, D. P. (2014). Heterogeneity in healthy aging. Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 69(6), 640-649. https://doi.org/10.1093/gerona/glt162
Lu, A. T., Quach, A., Wilson, J. G., Reiner, A. P., Aviv, A., Raj, K., Hou, L., Baccarelli, A. A., Li, Y., Stewart, J. D., Whitsel, E. A., Assimes, T. L., Ferrucci, L., & Horvath, S. (2019). DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging, 11(2), 303-327. https://doi.org/10.18632/aging.101684
Lundby, C., Montero, D., & Joyner, M. (2017). Biology of VO2max: Looking under the physiology lamp. Acta Physiologica, 220(2), 218-228. https://doi.org/10.1111/apha.12827
Maddock, J., Castillo-Fernandez, J., Wong, A., Cooper, R., Richards, M., Ong, K. K., Ploubidis, G. B., Goodman, A., Kuh, D., Bell, J. T., & Hardy, R. (2020). DNA methylation age and physical and cognitive aging. Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 75(3), 504-511. https://doi.org/10.1093/gerona/glz246
Marioni, R. E., Shah, S., McRae, A. F., Ritchie, S. J., Muniz-Terrera, G., Harris, S. E., Gibson, J., Redmond, P., Cox, S. R., Pattie, A., Corley, J., Taylor, A., Murphy, L., Starr, J. M., Horvath, S., Visscher, P. M., Wray, N. R., & Deary, I. J. (2015). The epigenetic clock is correlated with physical and cognitive fitness in the Lothian birth cohort 1936. International Journal of Epidemiology, 44(4), 1388-1396. https://doi.org/10.1093/ije/dyu277
McCartney, D. L., Hillary, R. F., Stevenson, A. J., Ritchie, S. J., Walker, R. M., Zhang, Q., Morris, S. W., Bermingham, M. L., Campbell, A., Murray, A. D., Whalley, H. C., Gale, C. R., Porteous, D. J., Haley, C. S., McRae, A. F., Wray, N. R., Visscher, P. M., McIntosh, A. M., Evans, K. L., … Marioni, R. E. (2018). Epigenetic prediction of complex traits and death. Genome Biology, 19(1), 136. https://doi.org/10.1186/s13059-018-1514-1
McGreevy, K. M., Radak, Z., Torma, F., Jokai, M., Lu, A. T., Belsky, D. W., Binder, A., Marioni, R. E., Ferrucci, L., Pośpiech, E., Branicki, W., Ossowski, A., Sitek, A., Spólnicka, M., Raffield, L. M., Reiner, A. P., Cox, S., Kobor, M., Corcoran, D. L., & Horvath, S. (2023). DNAmFitAge: Biological age indicator incorporating physical fitness. Aging, 15(10), 3904-3938. https://doi.org/10.18632/aging.204538
Moore, S. C., Patel, A. V., Matthews, C. E., Berrington de Gonzalez, A., Park, Y., Katki, H. A., Linet, M. S., Weiderpass, E., Visvanathan, K., Helzlsouer, K. J., Thun, M., Gapstur, S. M., Hartge, P., & Lee, I. M. (2012). Leisure time physical activity of moderate to vigorous intensity and mortality: A large pooled cohort analysis. PLoS Medicine, 9(11), 1-14. https://doi.org/10.1371/journal.pmed.1001335
Oblak, L., van der Zaag, J., Higgins-Chen, A. T., Levine, M. E., & Boks, M. P. (2021). A systematic review of biological, social and environmental factors associated with epigenetic clock acceleration. Ageing Research Reviews, 69, 101348. https://doi.org/10.1016/j.arr.2021.101348
Ostberg, O., & Horne, J. A. (1976). A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. International Journal of Chronobiology, 4(2), 97-110.
Partridge, L., Fuentealba, M., & Kennedy, B. K. (2020). The quest to slow ageing through drug discovery. Nature Reviews Drug Discovery, 19(8), 513-532. https://doi.org/10.1038/s41573-020-0067-7
Quach, A., Levine, M. E., Tanaka, T., Lu, A. T., Chen, B. H., Ferrucci, L., & Horvath, S. (2018). Epigenetic clock analysis of diet, exercise, education, and lifestyle factors. Aging, 9(2), 419-446. https://doi.org/10.18632/aging.101168
Rasch-Halvorsen, Ø., Hassel, E., Langhammer, A., Brumpton, B. M., & Steinshamn, S. (2019). The association between dynamic lung volume and peak oxygen uptake in a healthy general population: The HUNT study. BMC Pulmonary Medicine, 19(1), 2. https://doi.org/10.1186/s12890-018-0762-x
Ryan, J., Wrigglesworth, J., Loong, J., Fransquet, P. D., & Woods, R. L. (2020). A systematic review and meta-analysis of environmental, lifestyle, and health factors associated with DNA methylation age. Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 75(3), 481-494. https://doi.org/10.1093/gerona/glz099
Sillanpää, E., Heikkinen, A., Kankaanpää, A., Paavilainen, A., Kujala, U. M., Tammelin, T. H., Kovanen, V., Sipilä, S., Pietiläinen, K. H., Kaprio, J., Ollikainen, M., & Laakkonen, E. K. (2021). Blood and skeletal muscle ageing determined by epigenetic clocks and their associations with physical activity and functioning. Clinical Epigenetics, 13(1), 1-15. https://doi.org/10.1186/s13148-021-01094-6
Sillanpää, E., Ollikainen, M., Kaprio, J., Wang, X., Leskinen, T., Kujala, U. M., & Törmäkangas, T. (2019). Leisure-time physical activity and DNA methylation age-A twin study. Clinical Epigenetics, 11(1), 12. https://doi.org/10.1186/s13148-019-0613-5
Simpson, D. J., & Chandra, T. (2021). Epigenetic age prediction. Aging Cell, 20(9), 1-20. https://doi.org/10.1111/acel.13452
Spartano, N. L., Wang, R., Yang, Q., Chernofsky, A., Murabito, J. M., Vasan, R. S., Levy, D., Beiser, A. S., & Seshadri, S. (2023). Association of accelerometer-measured physical activity and sedentary time with epigenetic markers of aging. Medicine and Science in Sports and Exercise, 55(2), 264-272. https://doi.org/10.1249/MSS.0000000000003041
Tajuddin, S. M., Hernandez, D. G., Chen, B. H., Hooten, N. N., Mode, N. A., Nalls, M. A., Singleton, A. B., Ejiogu, N., Chitrala, K. N., Zonderman, A. B., & Evans, M. K. (2019). Novel age-associated DNA methylation changes and epigenetic age acceleration in middle-aged African Americans and whites. Clinical Epigenetics, 11(1), 119.
Tanisawa, K., Ito, T., Kawakami, R., Usui, C., Kawamura, T., Suzuki, K., Sakamoto, S., Ishii, K., Muraoka, I., Oka, K., & Higuchi, M. (2022a). Association between alcohol dietary pattern and prevalence of dyslipidaemia: WASEDA'S health study. British Journal of Nutrition, 127(11), 1712-1722. https://doi.org/10.1017/S0007114521002671
Tanisawa, K., Ito, T., Kawakami, R., Usui, C., Kawamura, T., Suzuki, K., Sakamoto, S., Ishii, K., Muraoka, I., Oka, K., & Higuchi, M. (2022b). Association between dietary patterns and different metabolic phenotypes in Japanese adults: WASEDA'S health study. Frontiers in Nutrition, 27(9), 779967. https://doi.org/10.3389/fnut.2022.779967
Teramoto, T., Sasaki, J., Ishibashi, S., Birou, S., Daida, H., Dohi, S., Egusa, G., Hiro, T., Hirobe, K., Iida, M., Kihara, S., Kinoshita, M., Maruyama, C., Ohta, T., Okamura, T., Yamashita, S., & Yokote, K. (2012). Diagnostic criteria for dyslipidemia executive summary of the Japan atherosclerosis society (JAS) guidelines for the diagnosis and prevention of atherosclerotic cardiovascular diseases in Japan-2012 version. Journal of Atherosclerosis and Thrombosis, 20(8), 655-660. https://doi.org/10.5551/jat.17152
The Ministry of Health, Labor and Welfare. (2020). Dietary Reference Intakes for Japanese (2020 ver.). https://www.mhlw.go.jp/content/10904750/000586553.pdf
Umemura, S., Arima, H., Arima, S., Asayama, K., Dohi, Y., & Hirooka, Y. (2019). The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2019). Hypertension Research, 42, 1235-1481. https://doi.org/10.1038/s41440-019-0284-9
Usui, C., Kawakami, R., Tanisawa, K., Ito, T., Tabata, H., Iizuka, S., Kawamura, T., Midorikawa, T., Sawada, S. S., Torii, S., Sakamoto, S., Suzuki, K., Ishii, K., Oka, K., Muraoka, I., & Higuchi, M. (2020). Visceral fat and cardiorespiratory fitness with prevalence of pre-diabetes/diabetes mellitus among middle-aged and elderly Japanese people: WASEDA'S health study. PLoS One, 15(10), e0241018. https://doi.org/10.1371/journal.pone.0241018
Vainshelboim, B., Arena, R., Kaminsky, L. A., & Myers, J. (2020). Reference standards for ventilatory threshold measured with cardiopulmonary exercise testing: The fitness registry and the importance of exercise: A National Database. Chest, 157(6), 1531-1537. https://doi.org/10.1016/j.chest.2019.11.022
Waziry, R., Ryan, C. P., Corcoran, D. L., Huffman, K. M., Kobor, M. S., Kothari, M., Graf, G. H., Kraus, V. B., Kraus, W. E., Lin, D. T. S., Pieper, C. F., Ramaker, M. E., Bhapkar, M., Das, S. K., Ferrucci, L., Hastings, W. J., Kebbe, M., Parker, D. C., Racette, S. B., … Belsky, D. W. (2023). Effect of long-term caloric restriction on DNA methylation measures of biological aging in healthy adults from the CALERIE trial. Nature Aging., 3, 248-257. https://doi.org/10.1038/s43587-022-00357-y
Wen, C. P., Wai, J. P. M., Tsai, M. K., Yang, Y. C., Cheng, T. Y. D., Lee, M. C., Chan, H. T., Tsao, C. K., Tsai, S. P., & Wu, X. (2011). Minimum amount of physical activity for reduced mortality and extended life expectancy: A prospective cohort study. The Lancet, 378(9798), 1244-1253. https://doi.org/10.1016/S0140-6736(11)60749-6
Wong, C. C. Y., Parsons, M. J., Lester, K. J., Burrage, J., Eley, T. C., Mill, J., Dempster, E. L., & Gregory, A. M. (2015). Epigenome-wide DNA methylation analysis of monozygotic twins discordant for diurnal preference. Twin Research and Human Genetics, 18(6), 662-669. https://doi.org/10.1017/thg.2015.78
World Health Organization. (2022). World Health Statistics 2022: Monitoring Health For The Sdgs, Sustainable Development Goals (pp. 21-22) https://www.who.int/publications/i/item/9789240051157
Zhang, Q., Vallerga, C. L., Walker, R. M., Lin, T., Henders, A. K., Montgomery, G. W., He, J., Fan, D., Fowdar, J., Kennedy, M., Pitcher, T., Pearson, J., Halliday, G., Kwok, J. B., Hickie, I., Lewis, S., Anderson, T., Silburn, P. A., Mellick, G. D., … Visscher, P. M. (2019). Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing. Genome Medicine, 11(1), 1-11. https://doi.org/10.1186/s13073-019-0667-1
Zhong, G. C., Huang, S. Q., Peng, Y., Wan, L., Wu, Y. Q. L., Hu, T. Y., Hu, J. J., & Hao, F. B. (2020). HDL-C is associated with mortality from all causes, cardiovascular disease and cancer in a J-shaped dose-response fashion: A pooled analysis of 37 prospective cohort studies. European Journal of Preventive Cardiology, 27(11), 1187-1203. https://doi.org/10.1177/2047487320914756