Abstract
Cancer remains a leading cause of morbidity globally, largely attributable to modifiable risks. We estimated the 2022 global and national cancer burden attributable to 30 such factors, including tobacco smoking, alcohol consumption, high body mass index, insufficient physical activity, smokeless tobacco and areca nut, suboptimal breastfeeding, air pollution, ultraviolet radiation, 9 infectious agents and 13 occupational exposures, to inform prevention efforts. Using GLOBOCAN data for 36 cancer sites in 185 countries, we applied prevalence data from around 2012 to reflect exposure−cancer latency and estimated Levin-based or Miettinen-based population-attributable fractions (PAFs) or direct estimates where applicable. Combined PAFs accounting for overlapping exposures were derived by cancer, sex, country and region. In 2022, an estimated 7.1 million of 18.7 million new cancer cases (37.8%) were attributable to 30 modifiable risk factors—2.7 million (29.7%) in women and 4.3 million (45.4%) in men. The proportion of preventable cancers ranged from 24.6% to 38.2% in women and from 28.1% to 57.2% in men across regions. Smoking (15.1%), infections (10.2%) and alcohol consumption (3.2%) were the leading contributors to cancer burden. Lung, stomach and cervical cancers represented nearly half of preventable cancers. Strengthening efforts to reduce modifiable exposures remains central to global cancer prevention.
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Data availability
All data used in this analysis are publicly available. GLOBOCAN estimates for cancer incidence data are available from the International Agency for Research on Cancer’s Global Cancer Observatory (https://gco.iarc.fr/today/), and CI5 population-based cancer registry data are available from the International Agency for Research on Cancer’s Cancer Incidence in Five Continents Volume XII: https://ci5.iarc.fr/ci5-xii/. Tobacco smoking prevalence is available on the Institute for Health Metrics and Evaluation Global Burden of Disease Study 2019 Data Input Sources Tool: https://ghdx.healthdata.org/gbd-2019/data-input-sources. Alcohol consumption prevalence data are available on the World Health Organization’s Global Health Observatory: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/average-daily-intake-in-grams-of-alcohol–population-15. High-BMI prevalence data are available on the Noncommunicable Disease Risk Factor Collaboration’s website: https://www.ncdrisc.org/data-downloads-adiposity.html. Insufficient physical activity prevalence data are available on the World Health Organization’s Global Health Observatory: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(crude-estimate)-(-). Suboptimal breastfeeding prevalence data are available on the UNICEF website: https://data.unicef.org/topic/nutrition/breastfeeding/#data. Concentrations of fine particulate matter (PM2.5) are available on the World Health Organization’s Global Health Observatory: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/concentrations-of-fine-particulate-matter-(pm2-5). Prevalence data for occupational exposures are available from the World Health Organization and International Labour Organization’s report: https://www.ilo.org/sites/default/files/wcmsp5/groups/public/@ed_dialogue/@lab_admin/documents/publication/wcms_819788.pdf.
Code availability
A sample code for PAF estimation of high BMI as well as the code used for the combination and harmonization of all PAF files of the individual risk factors are available at https://github.com/hfink1/Causes_of_cancer.git.
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Acknowledgements
The authors received no specific funding for this work. Where authors are identified as personnel of the International Agency for Research on Cancer/World Health Organization (IARC/WHO), the authors alone are responsible for the views expressed in this article, and they do not necessarily represent the decisions, policies or views of the IARC/WHO. We thank R.X.M. and his team at Octoma—L.L.-P., L. Jimenez-Perez and M. Erandi—for their assistance with the PAF calculations for insufficient physical activity, suboptimal breastfeeding, air pollution and occupational exposures.
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The study was conceptualized by I.S. Analyses were conducted by H.F., O.L., J.V., H.R., R.M., M.S. and L.L.-P., under the supervision of and with input from I.S. The first manuscript draft was prepared by H.F. All authors contributed to the editing of the manuscript.
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Extended data
Extended Data Fig. 1 Total and modifiable risk-factor-attributable cancer cases in 2022.
Cancer cases attributable to modifiable risk factors in 2022 for a) all new cases in women, b) attributable-only in women, c) all new cases in men and d) attributable-only in men.
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Supplementary Information
Supplementary Table 1.1, Supplementary Table 2.1, Supplementary Tables 3.1−3.4, Supplementary Tables 4.1.1−4.1.2, Supplementary Tables 4.2.1−4.2.3, Supplementary Tables 4.3.1−4.3.3, Supplementary Tables 4.4.1−4.4.3, Supplementary Tables 4.5.1−4.5.2, Supplementary Table 4.6.1, Supplementary Table 4.7.1, Supplementary Table 4.8.1, Supplementary Table 4.9.1, Supplementary Tables 4.10.1−4.10.3 and Supplementary Tables 4.11.1−4.11.3.
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Fink, H., Langselius, O., Vignat, J. et al. Global and regional cancer burden attributable to modifiable risk factors to inform prevention. Nat Med (2026). https://doi.org/10.1038/s41591-026-04219-7
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DOI: https://doi.org/10.1038/s41591-026-04219-7