Rossiello F, Jurk D, Passos JF, d'Adda di Fagagna F. Telomere dysfunction in ageing and age-related diseases. Nat Cell Biol. 2022;24(2):135–147. https://doi.org/10.1038/s41556-022-00842-x.

Campisi J, Kapahi P, Lithgow GJ, Melov S, Newman JC, Verdin E. From discoveries in ageing research to therapeutics for healthy ageing. Nature. 2019;571(7764):183–92. https://doi.org/10.1038/s41586-019-1365-2.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ho FK, Celis-Morales C, Gray SR, et al. Association and pathways between shift work and cardiovascular disease: a prospective cohort study of 238 661 participants from UK Biobank. Int J Epidemiol. 2022;51(2):579–90. https://doi.org/10.1093/ije/dyab144.

Article  PubMed  Google Scholar 

Gao X, Geng T, Jiang M, et al. Accelerated biological aging and risk of depression and anxiety: evidence from 424,299 UK Biobank participants. Nat Commun. 2023;14(1):2277. https://doi.org/10.1038/s41467-023-38013-7.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Christiansen L, Lenart A, Tan Q, et al. DNA methylation age is associated with mortality in a longitudinal Danish twin study. Aging Cell. 2016;15(1):149–54. https://doi.org/10.1111/acel.12421.

Article  CAS  PubMed  Google Scholar 

Chen BH, Marioni RE, Colicino E, et al. DNA methylation-based measures of biological age: meta-analysis predicting time to death. Aging (Albany NY). 2016;8(9):1844–65. https://doi.org/10.18632/aging.101020.

Article  CAS  PubMed  Google Scholar 

Perna L, Zhang Y, Mons U, Holleczek B, Saum K-U, Brenner H. Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort. Clinical Epigenetics. 2016;8(1). https://doi.org/10.1186/s13148-016-0228-z.

Duan R, Fu Q, Sun Y, Li Q. Epigenetic clock: A promising biomarker and practical tool in aging. Ageing Res Rev. 2022;81:101743. https://doi.org/10.1016/j.arr.2022.101743.

Article  CAS  PubMed  Google Scholar 

Partridge L, Deelen J, Slagboom PE. Facing up to the global challenges of ageing. Nature. 2018;561(7721):45–56. https://doi.org/10.1038/s41586-018-0457-8.

Article  CAS  PubMed  Google Scholar 

Trades Union Congress: Number of people working night shifts up by more than 150,000 in 5 years. https://www.tuc.org.uk/news/number-people-working-night-shifts-more-150000-5-years Accessed 7 Jul 2024.

Alterman T, Luckhaupt SE, Dahlhamer JM, Ward BW, Calvert GM. Prevalence rates of work organization characteristics among workers in the US: Data from the 2010 national health interview survey. Am J Ind Med. 2013;56(6):647–59. https://doi.org/10.1002/ajim.22108.

Article  PubMed  Google Scholar 

Jorgensen JT, Karlsen S, Stayner L, Hansen J, Andersen ZJ. Shift work and overall and cause-specific mortality in the Danish nurse cohort. Scand J Work Environ Health. 2017;43(2):117–26. https://doi.org/10.5271/sjweh.3612.

Article  PubMed  Google Scholar 

Gu FY, Han JL, Laden F, et al. Total and cause-specific mortality of US nurses working rotating night shifts. Am J Prev Med. 2015;48(3):241–52. https://doi.org/10.1016/j.amepre.2014.10.018.

Article  PubMed  PubMed Central  Google Scholar 

Vyas MV, Garg AX, Iansavichus AV, et al. Shift work and vascular events: systematic review and meta-analysis. BMJ. 2012;345(11):e4800. https://doi.org/10.1136/bmj.e4800.

Article  Google Scholar 

Vetter C, Dashti HS, Lane JM, et al. Night shift work, genetic risk, and type 2 diabetes in the UK biobank. Diabetes Care. 2018;41(4):762–9. https://doi.org/10.2337/dc17-1933.

Article  PubMed  PubMed Central  Google Scholar 

Straif K, Baan R, Grosse Y, et al. Carcinogenicity of shift-work, painting, and fire-fighting. Lancet Oncol. 2007;8(12):1065–6. https://doi.org/10.1016/S1470-2045(07)70373-X.

Article  PubMed  Google Scholar 

Xu M, Yin X, Gong Y. Lifestyle factors in the association of shift work and depression and anxiety. JAMA Network Open. 2023;6(8):e2328798. https://doi.org/10.1001/jamanetworkopen.2023.28798

Klemera P, Doubal S. A new approach to the concept and computation of biological age. Mech Ageing Dev. 2006;127(3):240–8. https://doi.org/10.1016/j.mad.2005.10.004.

Article  PubMed  Google Scholar 

Levine ME. Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age? J Gerontol A Biol Sci Med Sci. 2013;68(6):667–74. https://doi.org/10.1093/gerona/gls233.

Article  PubMed  Google Scholar 

Basu S, Liu Z, Kuo P-L, et al. A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study. PLOS Medicine. 2018;15(12). https://doi.org/10.1371/journal.pmed.1002718

Graf GH, Crowe CL, Kothari M, et al. Testing black-white disparities in biological aging among older adults in the United States: Analysis of DNA-Methylation and blood-chemistry methods. Am J Epidemiol. 2022;191(4):613–25. https://doi.org/10.1093/aje/kwab281.

Article  PubMed  Google Scholar 

Hastings WJ, Shalev I, Belsky DW. Comparability of biological aging measures in the national health and nutrition examination study, 1999–2002. Psychoneuroendocrinology. 2019;106:171–8. https://doi.org/10.1016/j.psyneuen.2019.03.012.

Article  PubMed  PubMed Central  Google Scholar 

Parker DC, Bartlett BN, Cohen HJ, et al. Association of blood chemistry quantifications of biological aging with disability and mortality in older adults. J Gerontol A Biol Sci Med Sci. 2020;75(9):1671–9. https://doi.org/10.1093/gerona/glz219.

Article  PubMed  Google Scholar 

Carugno M, Maggioni C, Ruggiero V, et al. Can night shift work affect biological age? Hints from a cross-sectional study on hospital female nurses. Int J Environ Res Public Health. 2021;18(20). https://doi.org/10.3390/ijerph182010639.

Freni-Sterrantino A, Fiorito G, d’Errico A, et al. Association between work characteristics and epigenetic age acceleration: cross-sectional results from UK - understanding society study. Aging (Albany NY). 2022;14(19):7752–73. https://doi.org/10.18632/aging.204327.

Article  PubMed  Google Scholar 

White AJ, Kresovich JK, Xu Z, Sandler DP, Taylor JA. Shift work, DNA methylation and epigenetic age. Int J Epidemiol. 2019;48(5):1536–44. https://doi.org/10.1093/ije/dyz027.

Article  PubMed  PubMed Central  Google Scholar 

Jones MJ, Goodman SJ, Kobor MS. DNA methylation and healthy human aging. Aging Cell. 2015;14(6):924–32. https://doi.org/10.1111/acel.12349.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sudlow C, Gallacher J, Allen N, et al. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age. PLOS Medicine. 2015;12(3). https://doi.org/10.1371/journal.pmed.1001779.

Mak JKL, McMurran CE, Kuja-Halkola R, et al. Clinical biomarker-based biological aging and risk of cancer in the UK Biobank. Br J Cancer. 2023;129(1):94–103. https://doi.org/10.1038/s41416-023-02288-w.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kwon D, Belsky DW. A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge. Geroscience. 2021;43(6):2795–808. https://doi.org/10.1007/s11357-021-00480-5.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Tyrrell J, Jones SE, Beaumont R, et al. Height, body mass index, and socioeconomic status: mendelian randomisation study in UK Biobank. BMJ-British Med J. 2016;352(10):i582. https://doi.org/10.1136/bmj.i582.

Article  Google Scholar 

Hakulinen C, Pulkki-Råback L, Jokela M, et al. Structural and functional aspects of social support as predictors of mental and physical health trajectories: Whitehall II cohort study. J Epidemiol Commun Health. 2016;70(7):710–5. https://doi.org/10.1136/jech-2015-206165.

Article  Google Scholar 

Hughes ME, Waite LJ, Hawkley LC, Cacioppo JT. A short scale for measuring loneliness in large surveys - Results from two population-based studies. Res Aging. 2004;26(6):655–72. https://doi.org/10.1177/0164027504268574.

Article  PubMed  PubMed Central  Google Scholar 

Elovainio M, Hakulinen C, Pulkki-Råback L, et al. Contribution of risk factors to excess mortality in isolated and lonely individuals: an analysis of data from the UK Biobank cohort study. Lancet Public Health. 2017;2(6):e260–6. https://doi.org/10.1016/s2468-2667(17)30075-0.

Article  PubMed  PubMed Central  Google Scholar 

Kroenke K, Spitzer RL, Williams JBW. The patient health questionnaire-2 - validity of a two-item depression screener. Med Care. 2003;41(11):1284–92. https://doi.org/10.1097/01.Mlr.0000093487.78664.3c.