IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v21y2024i8p981-d1444055.html
   My bibliography  Save this article

Leukemia Incidence by Occupation and Industry: A Cohort Study of 2.3 Million Workers from Ontario, Canada

Author

Listed:
  • Konrad Samsel

    (Occupational Cancer Research Centre, Ontario Health, Toronto, ON M5G 2L3, Canada
    Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada)

  • Tanya Navaneelan

    (Occupational Cancer Research Centre, Ontario Health, Toronto, ON M5G 2L3, Canada)

  • Nathan DeBono

    (Occupational Cancer Research Centre, Ontario Health, Toronto, ON M5G 2L3, Canada
    Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada)

  • Louis Everest

    (Occupational Cancer Research Centre, Ontario Health, Toronto, ON M5G 2L3, Canada)

  • Paul A. Demers

    (Occupational Cancer Research Centre, Ontario Health, Toronto, ON M5G 2L3, Canada
    Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada)

  • Jeavana Sritharan

    (Occupational Cancer Research Centre, Ontario Health, Toronto, ON M5G 2L3, Canada
    Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada)

Abstract

Although a significant body of evidence has attributed certain occupational exposures with leukemia, such as benzene, formaldehyde, 1,3-butadiene and ionizing radiation, more research is needed to identify work environments at increased risk for this disease. Our study aimed to identify occupational and industry groups associated with an elevated incidence of leukemia using a diverse cohort of workers’ compensation claimants from Ontario, Canada. A total of 2,363,818 workers in the Occupational Disease Surveillance System (ODSS) cohort, with claims between 1983–2019, were followed for malignant leukemia diagnoses up to 31 December 2019. We used a Cox proportional-hazards model to estimate the relative incidence of leukemia in specific occupation and industry groups. After adjusting for age and birth year, males in protective services (HR = 1.17, 95% CI = 1.02–1.35), metal machining (HR = 1.23, 95% CI = 1.07–1.41), transport (HR = 1.15, 95% CI = 1.06–1.25), and mining occupations (HR = 1.28, 95% CI = 1.02–1.60) had elevated risks of leukemia compared to other workers in the ODSS, with comparable findings by industry. Among female workers, slight risk elevations were observed among product fabricating, assembling, and repairing occupations, with other increased risks seen in furniture and fixture manufacturing, storage, and retail industries. These findings underscore the need for exposure-based studies to better understand occupational hazards in these settings.

Suggested Citation

  • Konrad Samsel & Tanya Navaneelan & Nathan DeBono & Louis Everest & Paul A. Demers & Jeavana Sritharan, 2024. "Leukemia Incidence by Occupation and Industry: A Cohort Study of 2.3 Million Workers from Ontario, Canada," IJERPH, MDPI, vol. 21(8), pages 1-16, July.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:8:p:981-:d:1444055
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/21/8/981/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/21/8/981/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Percy, C. & Stanek III, E. & Gloeckler, L., 1981. "Accuracy of cancer death certificates and its effect on cancer mortality statistics," American Journal of Public Health, American Public Health Association, vol. 71(3), pages 242-250.
    2. Felix M. Onyije & Bayan Hosseini & Kayo Togawa & Joachim Schüz & Ann Olsson, 2021. "Cancer Incidence and Mortality among Petroleum Industry Workers and Residents Living in Oil Producing Communities: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 18(8), pages 1-22, April.
    3. Won-Tae Lee & Woo-Ri Lee & Wanhyung Lee & Jin-Ha Yoon & Jongin Lee, 2023. "Risks of Leukemia in Various Industrial Groups in Korea: A Retrospective National Cohort Study," IJERPH, MDPI, vol. 20(2), pages 1-9, January.
    4. Glinda S. Cooper & Cheryl Siegel Scott & Ambuja S. Bale, 2011. "Insights from Epidemiology into Dichloromethane and Cancer Risk," IJERPH, MDPI, vol. 8(8), pages 1-19, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter Sandiford & Dale Bramley, 2013. "Application of the modified PGW method for determining the smoking attributable fraction of deaths in New Zealand Maori, Pacific and non-Maori non-Pacific populations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(7), pages 207-228.
    2. Jessica Ho & Irma Elo, 2013. "The Contribution of Smoking to Black-White Differences in U.S. Mortality," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 545-568, April.
    3. Angela B Mariotto & Zhaohui Zou & Christopher J Johnson & Steve Scoppa & Hannah K Weir & Bin Huang, 2018. "Geographical, racial and socio-economic variation in life expectancy in the US and their impact on cancer relative survival," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-18, July.
    4. Amanda T. Charette & Dustin T. Hill & Mary B. Collins & Jaime E. Mirowsky, 2022. "Assessing the quantity and toxicity of chemical releases from TRI facilities in Upstate New York," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 12(3), pages 417-429, September.
    5. Soetewey, Antoine & Legrand, Catherine & Denuit, Michel & Silversmit, Geert, 2023. "Health indices for disease incidence and duration in the Semi-Markov setting," LIDAM Discussion Papers ISBA 2023013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Eun-A Kim, 2021. "Standardized Incidence Ratio and Standardized Mortality Ratio of Malignant Mesothelioma in a Worker Cohort Using Employment Insurance Database in Korea," IJERPH, MDPI, vol. 18(20), pages 1-13, October.
    7. Alicia Villavicencio & Marta Solans & Lluís Zacarías-Pons & Anna Vidal & Montse Puigdemont & Josep Maria Roncero & Marc Saez & Rafael Marcos-Gragera, 2021. "Comorbidities at Diagnosis, Survival, and Cause of Death in Patients with Chronic Lymphocytic Leukemia: A Population-Based Study," IJERPH, MDPI, vol. 18(2), pages 1-10, January.
    8. Binbing Yu & Lan Huang & Ram C. Tiwari & Eric J. Feuer & Karen A. Johnson, 2009. "Modelling population‐based cancer survival trends by using join point models for grouped survival data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(2), pages 405-425, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:21:y:2024:i:8:p:981-:d:1444055. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.