Trends and Projections of Mortality Attributed to Occupational Neoplasms and Occupational Tracheal, Bronchus, and Lung Cancer in the World, G7 Countries and Turkey
,
Abstract
Background: The most important and remarkable aspect of occupational neoplasms is that they are preventable. We aimed to examine the trends and projections of mortality rates attributed to occupational neoplasms (MAON) and occupational tracheal, bronchus, and lung cancer (MAOLCa) in the world, G7 countries, and Turkey from 1990 to 2040.
Methods: The study was ecological one. Data for the study were obtained from the Global Burden of Disease (GBD) Foresight Visualization. For the study, time points were set every five years. For each time point, the age-standardized MAON, MAOLCa, and their 95% confidence intervals (CIs) were recorded. Rates were analyzed by joinpoint regression analysis.
Results: Globally, MAON was projected to decrease from 3.81% in 1990 to 2.83% in 2040. According to the joinpoint regression analysis, the joint year for the world was 2020. In Germany, the US, the UK, Italy, Canada and Turkey, the trend for MAON showed a decrease, similar to the global trend. However, MAON was stable in France and increased in Japan. Globally, MAOLCa was expected to decline gradually from 19.44% to 16.82% from 1990 to 2040. In the US, France and Turkey, the trend for MAOLca decreased, similar to the global trend. However, it was stable in the UK, Italy, and Canada and increased in Germany and Japan.
Conclusion: MAON tended to decrease worldwide and in the six countries, except France and Japan. MAOLCa tends to decrease worldwide, in the US, France, and Turkey, increase in Germany and Japan, and remain stable in the UK, Italy, and Canada.
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41. WHO. Health Topics / Social determi-nants of health. Available from https://www.who.int/health-topics/social-determinants-of-health#tab=tab_1
2. Carnevale F, Iavicoli S (2015). Bernardino Ramazzini (1633-1714): a visionary phy-sician, scientist and communicator. Oc-cup Environ Med, 72(1): 2-3.
3. Fernandez-Flores A, Fonseca E (2022). Scrotal cancer, chimney sweepers and Sir Percival Pott. Clin Dermatol, 40(2): 209-220.
4. Grosche B, Kreuzer M, Kreisheimer M, et al (2006). Lung cancer risk among Ger-man male uranium miners: a cohort study, 1946-1998. Br J Cancer, 95(9): 1280-1287.
5. Doll R (1955). Mortality from lung cancer in asbestos workers. Br J Ind Med, 12(2): 81-86.
6. Bogovski P (1980). Historical perspectives of occupational cancer. J Toxicol Environ Health, 6(5-6): 921-939.
7. Canadian Center for Occupational Health and Safety (CCOSH) (2023). Occupa-tional cancer. Available from https://www.ccohs.ca/oshanswers/diseases/cancer/occupational_cancer.html
8. Loomis D, Guha N, Hall AL, et al (2018). Identifying occupational carcinogens: an update from the IARC Monographs. Occup Environ Med, 75(8): 593-603.
9. Haylock RGE, Gillies M, Hunter N, et al (2018). Cancer mortality and incidence following external occupational radia-tion exposure: an update of the 3rd analysis of the UK national registry for radiation workers. Br J Cancer, 119(5): 631-637.
10. Alicandro G, Bertuccio P, Sebastiani G, et al (2020). Mortality among Italian male workers in the construction industry: a census-based cohort study. Eur J Public Health, 30(2): 247-252.
11. Miao X, Yao T, Dong C, et al (2024). Glob-al, regional, and national burden of non-communicable diseases attributable to occupational asbestos exposure 1990-2019 and prediction to 2035: worsening or improving? BMC Public Health, 24(1): 832.
12. Institute for Health Metrics and Evaluation (IHME) (2020). GBD Compare Data Visualization. Seattle, WA: IHME, Uni-versity of Washington. Available from https://vizhub.healthdata.org/gbd-compare/
13. Purdue MP, Hutchings SJ, Rushton L, et al (2015). The proportion of cancer at-tributable to occupational exposures. Ann Epidemiol, 25(3): 188-192.
14. Yang M (2011). A current global view of environmental and occupational can-cers. J Environ Sci Health C Environ Car-cinog Ecotoxicol Rev, 29(3): 223-249.
15. Institute for Health Metrics and Evaluation (IHME) (2018). GBD Foresight Visuali-zation. Seattle, WA: IHME, University of Washington. Available from: https://vizhub.healthdata.org/gbd-foresight/
16. Institute for Health Metrics and Evaluation (IHME) (2020). GBD Results. Seattle, WA: IHME, University of Washington. Available from: https://vizhub.healthdata.org/gbd-results/
17. GBD 2019 Diseases and Injuries Collabo-rators (2020). Global burden of 369 dis-eases and injuries in 204 countries and territories, 1990-2019: a systematic analy-sis for the Global Burden of Disease Study 2019. Lancet, 396(10258): 1204-1222.
18. Foreman KJ, Marquez N, Dolgert A, et al (2018). Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenar-ios for 2016-40 for 195 countries and territories. Lancet, 392(10159): 2052-2090.
19. Pandey AR, Chalise B, Shrestha N, et al (2020). Mortality and risk factors of dis-ease in Nepal: Trend and projections from 1990 to 2040. PLoS One, 15(12): e0243055.
20. National Cancer Institute (2023). Joinpoint Regression Program, Version 5.0.2. Sta-tistical Research and Applications Branch.
21. Ferrante D, Chellini E, Merler E, et al (2017). Italian pool of asbestos workers cohorts: mortality trends of asbestos-related neoplasms after long time since first exposure. Occup Environ Med, 74(12): 887-898.
22. Mazurek JM, Syamlal G, Wood JM, et al (2017). Malignant mesothelioma mortali-ty-United States, 1999-2015. MMWR Morb Mortal Wkly Rep, 66(8): 214-218.
23. Dhungel B, Murakami T, Wada K, et al (2022). Difference in mortality rates by occupation in Japanese male workers aged 25 to 64 years from 1980 to 2015. Int J Environ Res Public Health, 19(18): 11328.
24. Okui T (2022). Differences in cancer mor-tality rate depending on occupational class among Japanese women, 1995-2015. Asian Pac J Cancer Prev, 23(2): 475-783.
25. GBD 2016 Occupational Carcinogens Col-laborators (2020). Global and regional burden of cancer in 2016 arising from occupational exposure to selected car-cinogens: a systematic analysis for the Global Burden of Disease Study 2016. Occup Environ Med, 77(3): 151-159.
26. Qu C, He R, Hou W, et al (2023). Global burden of neoplasms attributable to specific occupational carcinogens over 30 years: a population-based study. Public Health, 223:145-155.
27. Takala J, Hämäläinen P, Sauni R, et al (2024). Global-, regional- and country-level estimates of the work-related bur-den of diseases and accidents in 2019. Scand J Work Environ Health, 50(2): 73-82.
28. United Nations Development Programme (UNDP) (2023). Human Development Reports. Human Development Index 1990-2020. Available from https://hdr.undp.org/data-center/human-development-index#/indicies/HDI
29. Yamauchi T, Yoshikawa T, Takamoto M, et al (2017). Overwork-related disorders in Japan: recent trends and development of a national policy to promote preven-tive measures. Ind Health, 55(3): 293-302.
30. Shallis RM, Weiss JJ, Deziel NC, et al (2021). Challenging the concept of de novo acute myeloid leukemia: environ-mental and occupational leukemogens hiding in our midst. Blood Rev, 47: 100760.
31. Spatari G, Allegra A, Carrieri M, et al (2021). Epigenetic effects of benzene in hematologic neoplasms: the altered gene expression. Cancers, 13(10): 2392.
32. Massari S, Malpassuti VC, Binazzi A, et al (2022). Occupational mortality matrix: a tool for epidemiological assessment of work-related risk based on current data sources. Int J Environ Res Public Health, 19(9): 5652.
33. Li H, Guo J, Liang H, et al (2022). The Bur-den of Trachea, bronchus, and lung cancer attributable to occupational ex-posure from 1990 to 2019. Front Public Health, 10: 928937.
34. GBD 2019 Respiratory Tract Cancers Col-laborators (2021). Global, regional, and national burden of respiratory tract cancers and associated risk factors from 1990 to 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Respir Med, 9(9): 1030-1049.
35. Hutchings S, Rushton L (2011). Toward risk reduction: predicting the future burden of occupational cancer. Am J Epidemiol, 173(9): 1069-1077.
36. Fan Y, Jiang Y, Li X, et al (2022). Burden of lung cancer attributable to occupational carcinogens from 1990 to 2019 and pro-jections until 2044 in China. Cancers (Ba-sel), 14(16): 3883.
37. Abulikemu A, Wang D, Hu W, et al (2022). Trend analysis of occupational lung cancer from coke oven emission expo-sure - China, 2008-2019. China CDC Wkly, 4(17): 353-357.
38. WHO-IARC (2023). Agents Classified by the IARC Monographs, Volumes 1–134. https://monographs.iarc.who.int/wp-con-tent/uploads/2019/07/Classifications_by_cancer_site.pdf
39. Christiani DC (2020). Occupational expo-sures and lung cancer. Am J Respir Crit Care Med, 202(3): 317-319.
40. Stueckle TA, Lu Y, Davis ME, et al (2012). Chronic occupational exposure to arse-nic induces carcinogenic gene signaling networks and neoplastic transformation in human lung epithelial cells. Toxicol Appl Pharmacol, 261(2): 204-216.
41. WHO. Health Topics / Social determi-nants of health. Available from https://www.who.int/health-topics/social-determinants-of-health#tab=tab_1
| Files | ||
| Issue | Vol 53 No 11 (2024) | |
| Section | Original Article(s) | |
| Keywords | ||
| Occupational neoplasm Occupational lung cancer Trend Projection | ||
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How to Cite
1.
Yıldırım Öztürk EN, Ozturk M. Trends and Projections of Mortality Attributed to Occupational Neoplasms and Occupational Tracheal, Bronchus, and Lung Cancer in the World, G7 Countries and Turkey. Iran J Public Health. 2024;53(11):2473-2481.
