Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Healthy lifestyle and life expectancy free of major chronic diseases at age 40 in China

Abstract

Whether a healthy lifestyle helps achieve gains in life expectancy (LE) free of major non-communicable diseases and its share of total LE in Chinese adults remains unknown. We considered five low-risk lifestyle factors: never smoking or quitting for reasons other than illness, no excessive alcohol use, being physically active, healthy eating habits and healthy body fat levels. Here we show that after a median follow-up of 11.1 years for 451,233 Chinese adults, the LE free of cardiovascular diseases, cancer and chronic respiratory diseases (95% confidence interval) at age 40 years for individuals with all five low-risk factors was on average 6.3 (5.1–7.5) years (men) and 4.2 (3.6–5.4) years (women) longer than those with 0–1 low-risk factors. Correspondingly, the proportion of disease-free LE to total LE increased from 73.1% to 76.3% for men and from 67.6% to 68.4% for women. Our findings suggest that promoting healthy lifestyles could be associated with gains in disease-free LE in the Chinese population.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Multivariable-adjusted hazard ratios (95% CIs) for each transition by individual low-risk lifestyle factors in men (n = 181,544) and women (n = 269,689) separately.
Fig. 2: LE at age 40 years with and without CVDs, cancer and/or CRDs by levels of individual lifestyle risk factors in men (n = 181,544) and women (n = 269,689) separately.
Fig. 3: LE at age 40 years with and without CVDs, cancer and/or CRDs by the number of low-risk lifestyle factors in men (n = 181,544) and women (n = 269,689) separately.
Fig. 4: LE at age 40 years without chronic diseases and LE differences by the number of low-risk lifestyle factors in men (n = 181,544) and women (n = 269,689) separately.

Similar content being viewed by others

Data availability

CKB data are available to all bona fide researchers. Details of how to access and details of the data release schedule are available from www.ckbiobank.org/site/Data+Access. As stated in the access policy, the CKB study group must maintain the integrity of the database for future use and regulate data access to comply with prior conditions agreed with the Chinese government. Data security is an integral part of CKB study protocols. Data can be released outside the CKB research group only with appropriate security safeguards.

Code availability

Analysis code for this study is available at https://github.com/qiufen-code/Lifestyle-and-disease-free-LE.

References

  1. GBD 2017 Mortality Collaborators. Global regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1684–1735 (2018).

    Article  Google Scholar 

  2. GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1789–1858 (2018).

    Article  Google Scholar 

  3. Fries, J. F. Aging, natural death, and the compression of morbidity. New Engl. J. Med. 303, 130–135 (1980).

    Article  CAS  PubMed  Google Scholar 

  4. From MDGS to SDGS: General Introduction (WHO, 2015).

  5. Pang, Y. J., Yu, C. Q., Guo, Y., Lyu, J. & Li, L. M. Associations of lifestyles with major chronic diseases in Chinese adults: evidence from the China Kadoorie Biobank. Zhonghua Liu Xing Bing Xue Za Zhi 42, 369–75. (2021).

    CAS  PubMed  Google Scholar 

  6. Zhang, Y.-B. et al. Combined lifestyle factors, all-cause mortality and cardiovascular disease: a systematic review and meta-analysis of prospective cohort studies. J. Epidemiol. Community Health 75, 92 (2021).

    PubMed  Google Scholar 

  7. Zhang, Y. B. et al. Combined lifestyle factors, incident cancer, and cancer mortality: a systematic review and meta-analysis of prospective cohort studies. Br. J. Cancer 122, 1085–1093 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Li, Y. et al. Healthy lifestyle and life expectancy free of cancer, cardiovascular disease, and type 2 diabetes: prospective cohort study. Br. Med. J. 368, l6669 (2020).

    Article  Google Scholar 

  9. Cuthbertson, C. C. et al. Associations of leisure-time physical activity and television viewing with life expectancy free of nonfatal cardiovascular disease: the ARIC study. J. Am. Heart Assoc. 8, e012657 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Khan, S. S. et al. Association of body mass index with lifetime risk of cardiovascular disease and compression of morbidity. J. Am. Med. Assoc. Cardiol. 3, 280–287 (2018).

    Google Scholar 

  11. O’Doherty, M. G. et al. Effect of major lifestyle risk factors, independent and jointly, on life expectancy with and without cardiovascular disease: results from the Consortium on Health and Ageing Network of Cohorts in Europe and the United States (CHANCES). Eur. J. Epidemiol. 31, 455–468 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  12. Dhana, K. et al. Obesity and life expectancy with and without diabetes in adults aged 55 years and older in the Netherlands: a prospective cohort study. PLoS Med. 13, e1002086 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  13. Nyberg, S. T. et al. Association of healthy lifestyle with years lived without major chronic diseases. J. Am. Med. Assoc. Internal Med. 180, 760–768 (2020).

    Google Scholar 

  14. Stenholm, S. et al. Smoking, physical inactivity and obesity as predictors of healthy and disease-free life expectancy between ages 50 and 75: a multicohort study. Int. J. Epidemiol. 45, 1260–1270 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Zhou, M. et al. Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 394, 1145–1158 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  16. Qin, F. et al. Exercise and air pollutants exposure: a systematic review and meta-analysis. Life Sci. 218, 153–164 (2019).

    Article  CAS  PubMed  Google Scholar 

  17. Lu, Y. et al. Comparison of prevalence, awareness, treatment, and control of cardiovascular risk factors in China and the United States. J. Am. Heart Assoc. 7, e007462 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Aggarwal, N. R. et al. Sex differences in ischemic heart disease. Circ. Cardiovasc. Qual. Outcomes 11, e004437 (2018).

    Article  PubMed  Google Scholar 

  19. Mamun, A. A. et al. Smoking decreases the duration of life lived with and without cardiovascular disease: a life course analysis of the Framingham Heart Study. Eur. Heart J. 25, 409–415 (2004).

    Article  PubMed  Google Scholar 

  20. Nusselder, W. J., Franco, O. H., Peeters, A. & Mackenbach, J. P. Living healthier for longer: comparative effects of three heart-healthy behaviors on life expectancy with and without cardiovascular disease. BMC Public Health 9, 487 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Snetselaar, L. G., de Jesus, J. M., DeSilva, D. M. & Stoody, E. E. Dietary guidelines for Americans, 2020–2025: understanding the scientific process, guidelines, and key recommendations. Nutri. Today 56, 287 (2021).

    Article  Google Scholar 

  22. Gong, W. et al. Nutrient supplement use among the Chinese population: a cross-sectional study of the 2010–2012 China nutrition and health surveillance. Nutrients 10, 1733 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  23. Craig, W. J. Health effects of vegan diets. Am. J. Clin. Nutr. 89, 1627–1633 (2009).

    Article  Google Scholar 

  24. Dale, C. E. et al. Causal associations of adiposity and body fat distribution with coronary heart disease, stroke subtypes, and type 2 diabetes mellitus: a Mendelian randomization analysis. Circulation 135, 2373–2388 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  25. Zhang, X. et al. Genetically predicted physical activity levels are associated with lower colorectal cancer risk: a Mendelian randomisation study. Br. J. Cancer 124, 1330–1338 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  26. Larsson, S. C. et al. Smoking, alcohol consumption, and cancer: a Mendelian randomisation study in UK Biobank and international genetic consortia participants. PLoS Med. 17, e1003178 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Chen, Z. et al. China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up. Int. J. Epidemiol. 40, 1652–1666 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  28. Chinese Nutrition Society. The Chinese Dietary Guidelines (People’s Medical Publishing House, 2016).

  29. Zhu, N. et al. Adherence to a healthy lifestyle and all-cause and cause-specific mortality in Chinese adults: a 10-year prospective study of 0.5 million people. Int. J. Behav. Nutr. Phys. Act. 16, 98 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  30. Xi, B. et al. Relationship of alcohol consumption to all-cause, cardiovascular, and cancer-related mortality in U.S. adults. J. Am. Coll. Cardiol. 70, 913–922 (2017).

    Article  PubMed  Google Scholar 

  31. Klurfeld, D. M. What is the role of meat in a healthy diet? Anim. Front. 8, 5–10 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  32. Lee, D. H. et al. Predicted lean body mass, fat mass, and all cause and cause specific mortality in men: prospective US cohort study. Br. Med. J. 362, k2575 (2018).

    Article  Google Scholar 

  33. Han, Y. et al. Lifestyle, cardiometabolic disease, and multimorbidity in a prospective Chinese study. Eur. Heart J. 42, 3374–3384 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  34. Kurmi, O. P. et al. Validity of COPD diagnoses reported through nationwide health insurance systems in the People’s Republic of China. Int. J. Chron. Obstruct .Pulmon. Dis. 11, 419–430 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Peeters, A., Mamun, A. A., Willekens, F. & Bonneux, L. A cardiovascular life history. A life course analysis of the original Framingham Heart Study cohort. Eur. Heart J. 23, 458–466 (2002).

    Article  CAS  PubMed  Google Scholar 

  36. Franco, O. H., Peeters, A., Bonneux, L. & de Laet, C. Blood pressure in adulthood and life expectancy with cardiovascular disease in men and women: life course analysis. Hypertension 46, 280–286 (2005).

    Article  CAS  PubMed  Google Scholar 

  37. Tassistro, E., Bernasconi, D. P., Rebora, P., Valsecchi, M. G. & Antolini, L. Modeling the hazard of transition into the absorbing state in the illness–death model. Biom. J. 62, 836–851 (2020).

    Article  PubMed  Google Scholar 

  38. Tibshirani, R. J. & Efron, B. An introduction to the bootstrap. Monogr Stat. Appl. Prob. 57, 1–436 (1993).

    Google Scholar 

Download references

Acknowledgements

The most important acknowledgement is to the participants in the study and the members of the survey teams in each of the ten regional centres, as well as to the project development and management teams based at Beijing, Oxford and the ten regional centres. This work was supported by National Natural Science Foundation of China (82192904 (J.L.), 82192901 (L.L.), 82192900 (L.L.) and 81941018 (J.L.)). The CKB baseline survey and the first resurvey were supported by a grant from the Kadoorie Charitable Foundation in Hong Kong. The long-term follow-up is supported by grants from the UK Wellcome Trust (212946/Z/18/Z, 202922/Z/16/Z, 104085/Z/14/Z and 088158/Z/09/Z) (Z.C.), grants (2016YFC0900500 (Y.G.)) from the National Key R&D Program of China, National Natural Science Foundation of China (81390540 and 91846303) (L.L.) and Chinese Ministry of Science and Technology (2011BAI09B01) (L.L.). The funders had no role in the study design, data collection, data analysis, interpretation, writing of the report or the decision to submit the article for publication.

Author information

Authors and Affiliations

Consortia

Contributions

J.L. and L.L. conceived and designed the study and contributed to the interpretation of the results and critical revision of the paper for valuable intellectual content. L.L., Z.C. and J.C., as the members of the CKB steering committee, designed and supervised the conduct of the whole study, obtained funding and together with C.Y., Y.G., P.P., L.Y., Y.C., H.D., S.B., S.S. and F.N. acquired the CKB data. Q.S. and Y.H. accessed, verified and analysed the data. Q.S. drafted the paper. All authors had access to the data and have read and approved the final paper. The corresponding author attests that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted. J.L. and L.L. are the guarantors.

Corresponding authors

Correspondence to Liming Li or Jun Lv.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Human Behaviour thanks Josje Schoufour and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available. Primary Handling Editor: Charlotte Payne, in collaboration with the Nature Human Behaviour team.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Text (including a list of CKB members and their affiliations), Methods, Tables 1–4 and Figs. 1–12.

Reporting Summary

Peer Review File

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

The China Kadoorie Biobank Collaborative Group. Healthy lifestyle and life expectancy free of major chronic diseases at age 40 in China. Nat Hum Behav 7, 1542–1550 (2023). https://doi.org/10.1038/s41562-023-01624-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41562-023-01624-7

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing