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Long-term impacts of heatwaves on accelerated ageing

Abstract

Climate change and population ageing are both urgent global challenges. Yet the interaction between these, such as associations between long-term exposure to heatwaves and biological age acceleration (BAA), is unclear. Here we analysed data from 24,922 adults in a longitudinal cohort in Taiwan (2008–2022) and used linear mixed models to show heatwaves accelerate ageing. Heatwaves were defined using both relative and absolute thresholds. BAA was calculated as the difference between biological and chronological age. Each interquartile range increase in the cumulative exposure to heatwaves was associated with a 0.023- to 0.031-year increase in BAA. Moreover, the participants demonstrated gradual adaptation to heatwave impacts over the 15-year period. Furthermore, manual workers, rural residents and participants from communities with fewer air conditioners were more susceptible to the health impacts. This study highlights the need for targeted policies and interventions to strengthen adaptive capacity, delay ageing and promote healthy ageing.

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Fig. 1: Associations between heatwave exposure and BAA.
Fig. 2: Concentration–response associations between heatwave exposure and BAA.
Fig. 3: Three-dimensional surface of heatwave exposure and year on BAA.
Fig. 4: Stratified associations between heatwave exposure and BAA.

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Data availability

Daily temperature data are available from the ERA5 land reanalysis dataset (https://cds.climate.copernicus.eu/datasets/reanalysis-era5-land?tab=overview). The cohort data were obtained from the MJ Health Management Institution and are not publicly available due to legal and ethical regulations. However, access may be granted to qualified researchers on reasonable request to the institution (contact_us@mjhrf.org) and the corresponding author. Source data are provided with this paper.

Code availability

The code to reproduce the analysis is available on Zenodo at https://doi.org/10.5281/zenodo.15760341 (ref. 48).

References

  1. World Population Prospects 2022: Summary of Results (United Nations, 2022).

  2. Xi, J. Y., Lin, X. & Hao, Y. T. Measurement and projection of the burden of disease attributable to population aging in 188 countries, 1990–2050: a population-based study. J. Glob. Health 12, 04093 (2022).

    Article  Google Scholar 

  3. Moskalev, A. Biomarkers of Human Aging (Springer, 2019).

  4. Klemera, P. & Doubal, S. A new approach to the concept and computation of biological age. Mech. Ageing Dev. 127, 240–248 (2006).

    Article  Google Scholar 

  5. Chen, L. et al. Modeling biological age using blood biomarkers and physical measurements in Chinese adults. eBioMedicine 89, 104458 (2023).

    Article  CAS  Google Scholar 

  6. Jiang, M. et al. Accelerated biological aging elevates the risk of cardiometabolic multimorbidity and mortality. Nat. Cardiovasc. Res. 3, 332–342 (2024).

    Article  Google Scholar 

  7. Di Ciaula, A. & Portincasa, P. The environment as a determinant of successful aging or frailty. Mech. Ageing Dev. 188, 111244 (2020).

    Article  Google Scholar 

  8. Liu, J. et al. Heat exposure and cardiovascular health outcomes: a systematic review and meta-analysis. Lancet Planet Health 6, e484–e495 (2022).

    Article  Google Scholar 

  9. Xu, Z., FitzGerald, G., Guo, Y., Jalaludin, B. & Tong, S. Impact of heatwave on mortality under different heatwave definitions: a systematic review and meta-analysis. Environ. Int. 89–90, 193–203 (2016).

    Article  Google Scholar 

  10. Xi, D. et al. Risk factors associated with heatwave mortality in Chinese adults over 65 years. Nat. Med. 30, 1489–1498 (2024).

    Article  CAS  Google Scholar 

  11. Zhang, H. et al. Effect of heatwaves and greenness on mortality among Chinese older adults. Environ. Pollut. 290, 118009 (2021).

    Article  CAS  Google Scholar 

  12. Yang, Z., Wang, Q. & Liu, P. Extreme temperature and mortality: evidence from China. Int. J. Biometeorol. 63, 29–50 (2019).

    Article  Google Scholar 

  13. Choi, E. Y., Lee, H. & Chang, V. W. Cumulative exposure to extreme heat and trajectories of cognitive decline among older adults in the USA. J. Epidemiol. Community Health 77, 728–735 (2023).

    Article  Google Scholar 

  14. Wang, Y., Nordio, F., Nairn, J., Zanobetti, A. & Schwartz, J. D. Accounting for adaptation and intensity in projecting heat wave-related mortality. Environ. Res. 161, 464–471 (2018).

    Article  Google Scholar 

  15. Romano, G. H. et al. Environmental stresses disrupt telomere length homeostasis. PLoS Genet. 9, e1003721 (2013).

    Article  CAS  Google Scholar 

  16. Lundblad, V. & Szostak, J. W. A mutant with a defect in telomere elongation leads to senescence in yeast. Cell 57, 633–643 (1989).

    Article  CAS  Google Scholar 

  17. Blasco, M. A. Telomeres and human disease: ageing, cancer and beyond. Nat. Rev. Genet. 6, 611–622 (2005).

    Article  CAS  Google Scholar 

  18. Bakaysa, S. L. et al. Telomere length predicts survival independent of genetic influences. Aging Cell 6, 769–774 (2007).

    Article  CAS  Google Scholar 

  19. Huang, Y. K. et al. Heat acclimation decreased oxidative DNA damage resulting from exposure to high heat in an occupational setting. Eur. J. Appl. Physiol. 112, 4119–4126 (2012).

    Article  CAS  Google Scholar 

  20. Hou, T. et al. Early pulmonary fibrosis-like changes in the setting of heat exposure: DNA damage and cell senescence. Int. J. Mol. Sci. 25, 2992 (2024).

    Article  CAS  Google Scholar 

  21. Yu, T., Deuster, P. & Chen, Y. Role of dynamin-related protein 1-mediated mitochondrial fission in resistance of mouse C2C12 myoblasts to heat injury. J. Physiol. 594, 7419–7433 (2016).

    Article  CAS  Google Scholar 

  22. GBD 2021 Diseases and Injuries Collaborators. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 403, 2133–2161 (2024).

    Article  Google Scholar 

  23. Perkins-Kirkpatrick, S. E. & Lewis, S. C. Increasing trends in regional heatwaves. Nat. Commun. 11, 3357 (2020).

    Article  CAS  Google Scholar 

  24. Goggins, W. B., Yang, C., Hokama, T., Law, L. S. & Chan, E. Y. Using annual data to estimate the public health impact of extreme temperatures. Am. J. Epidemiol. 182, 80–87 (2015).

    Article  Google Scholar 

  25. Zhou, W. et al. The effects of heatwave on cognitive impairment among older adults: exploring the combined effects of air pollution and green space. Sci. Total Environ. 904, 166534 (2023).

    Article  CAS  Google Scholar 

  26. Dai, W. et al. The combined effects of heatwaves, air pollution and greenery on the risk of frailty: a national cohort study. Sci. Rep. 14, 24293 (2024).

    Article  CAS  Google Scholar 

  27. Velichko, A. K., Markova, E. N., Petrova, N. V., Razin, S. V. & Kantidze, O. L. Mechanisms of heat shock response in mammals. Cell. Mol. Life Sci. 70, 4229–4241 (2013).

    Article  CAS  Google Scholar 

  28. Gallo, E. et al. Heat-related mortality in Europe during 2023 and the role of adaptation in protecting health. Nat. Med. 30, 3101–3105 (2024).

    Article  CAS  Google Scholar 

  29. Yang, D. et al. Temporal change in minimum mortality temperature under changing climate: a multicountry multicommunity observational study spanning 1986–2015. Environ. Epidemiol. 8, e334 (2024).

    Article  Google Scholar 

  30. Xu, Y. et al. Differences on the effect of heat waves on mortality by sociodemographic and urban landscape characteristics. J. Epidemiol. Community Health 67, 519–525 (2013).

    Article  Google Scholar 

  31. Chua, P. L. C. et al. Net impact of air conditioning on heat-related mortality in Japanese cities. Environ. Int. 181, 108310 (2023).

    Article  Google Scholar 

  32. Tao, J. et al. Urban-rural disparity in heatwave effects on diabetes mortality in eastern China: a case-crossover analysis in 2016–2019. Sci. Total Environ. 858, 160026 (2023).

    Article  CAS  Google Scholar 

  33. Fastl, C., Arnberger, A., Gallistl, V., Stein, V. K. & Dorner, T. E. Heat vulnerability: health impacts of heat on older people in urban and rural areas in Europe. Wien. Klin. Wochenschr. 136, 507–514 (2024).

    Article  Google Scholar 

  34. Romanello, M. et al. The 2024 report of the Lancet Countdown on health and climate change: facing record-breaking threats from delayed action. Lancet 404, 1847–1896 (2024).

    Article  Google Scholar 

  35. Levine, M. E. Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age? J. Gerontol. A 68, 667–674 (2013).

    Article  Google Scholar 

  36. Wu, X. et al. Cohort profile: the Taiwan MJ Cohort: half a million Chinese with repeated health surveillance data. Int. J. Epidemiol. 46, 1744–1744g (2017).

    Article  Google Scholar 

  37. Guo, C. et al. Effect of long-term exposure to fine particulate matter on lung function decline and risk of chronic obstructive pulmonary disease in Taiwan: a longitudinal, cohort study. Lancet Planet. Health 2, e114–e125 (2018).

    Article  Google Scholar 

  38. Liu, Z. Development and validation of 2 composite aging measures using routine clinical biomarkers in the Chinese population: analyses from 2 prospective cohort studies. J. Gerontol. A 76, 1627–1632 (2021).

    Article  Google Scholar 

  39. Muñoz Sabater, J. ERA5-Land Hourly Data from 1950 to Present (ECMWF, 2019); https://doi.org/10.24381/cds.e2161bac

  40. Xue, T. et al. Estimation of pregnancy losses attributable to exposure to ambient fine particles in South Asia: an epidemiological case-control study. Lancet Planet. Health 5, e15–e24 (2021).

    Article  Google Scholar 

  41. Heat Information Product Description (Central Weather Administration, 2018); https://www.cwa.gov.tw/V8/assets/pdf/HeatInformation_ProductDescription_En.pdf

  42. Li, Z. et al. Progress in biological age research. Front. Public Health 11, 1074274 (2023).

    Article  Google Scholar 

  43. Guo, C. et al. Ambient fine particulate matter and its constituents may exacerbate the acceleration of aging in adults. Environ. Int. 192, 109019 (2024).

    Article  CAS  Google Scholar 

  44. Gasparrini, A. et al. Temporal variation in heat–mortality associations: a multicountry study. Environ. Health Perspect. 123, 1200–1207 (2015).

    Article  Google Scholar 

  45. Teillet, P. M. et al. Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets. Remote Sens. Environ. 78, 39–54 (2001).

    Article  Google Scholar 

  46. Fu, S., Huang, N. & Chou, Y. J. Trends in the prevalence of multiple chronic conditions in Taiwan from 2000 to 2010: a population-based study. Prev. Chronic Dis. 11, E187 (2014).

    Article  Google Scholar 

  47. Liu, Y. et al. Dietary diversity score and the acceleration of biological aging: a population-based study of 88,039 participants. J. Nutr. Health Aging 28, 100271 (2024).

    Article  CAS  Google Scholar 

  48. Chen, S., et al. v1.0.0: initial code release for “Long-term impacts of heatwaves on accelerated ageing”. Zenodo https://doi.org/10.5281/zenodo.15760341 (2025).

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Acknowledgements

C.G. was in part supported by HKU Seed Fund for Collaborative Research (2207101523) and National Natural Science Foundation of China Young Scientists Fund (4240070121). Part of the data used in this research was authorized by the MJ Health Research Foundation (authorization code MJHRF2022008A). Any interpretation or conclusion described in this paper does not necessarily represent the views of MJ Health Research Foundation.

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Contributions

S.C. and C.G. conceived of and designed the study. S.C. performed the analysis and created the visualizations. S.C. and C.G. drafted and revised the paper and interpreted the findings. C.G. secured funding and provided project administration and supervision. Y.L. and Y.Z. contributed to data collection and curation. Y.Y. conducted software and code validation. J.Y., T.L., T.-C.C., R.D. and S.H. contributed to data interpretation and paper revision. All authors approved the final version of the paper.

Corresponding author

Correspondence to Cui Guo.

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Nature Climate Change thanks Paul Beggs, Pierre Masselot and the other, anonymous, reviewer for their contribution to the peer review of this work.

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Supplementary Figs. 1–19 and Tables 1–3.

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Chen, S., Liu, Y., Yi, Y. et al. Long-term impacts of heatwaves on accelerated ageing. Nat. Clim. Chang. 15, 1000–1007 (2025). https://doi.org/10.1038/s41558-025-02407-w

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