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Occupational Mortality Matrix: A Tool for Epidemiological Assessment of Work-Related Risk Based on Current Data Sources

Author

Listed:
  • Stefania Massari

    (Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian National Institute for Insurance against Accidents at Work (INAIL), 00143 Rome, Italy)

  • Vittoria Carolina Malpassuti

    (Department of Statistical Sciences, University of Rome La Sapienza, 00161 Rome, Italy)

  • Alessandra Binazzi

    (Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian National Institute for Insurance against Accidents at Work (INAIL), 00143 Rome, Italy)

  • Lorena Paris

    (Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian National Institute for Insurance against Accidents at Work (INAIL), 00143 Rome, Italy)

  • Claudio Gariazzo

    (Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian National Institute for Insurance against Accidents at Work (INAIL), 00143 Rome, Italy)

  • Alessandro Marinaccio

    (Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian National Institute for Insurance against Accidents at Work (INAIL), 00143 Rome, Italy)

Abstract

Mortality from occupational diseases significantly afflicts society, in terms of both economic costs and human suffering. The International Labour Organization (ILO) estimated that 2.4 million workers die from work-related diseases every year. In Europe, around 80,000 workers die from cancer attributed to occupational exposure to carcinogens. This study developed the Occupational Mortality Matrix (OMM) aimed to identify significant associations between causes of death and occupational sectors through an individual record linkage between mortality data and the administrative archive of occupational histories. The study population consisted of 6,433,492 deceased subjects in Italy (in the period 2005–2015), of which 2,723,152 records of work histories were retrieved (42%). The proportional mortality ratio (PMR) was estimated to investigate the excess of mortality for specific causes associated with occupational sectors. Higher PMRs were reported for traditionally risky occupations such as shipbuilding for mesothelioma cases (PMR: 8.15; 95% CI: 7.28–9.13) and leather production for sino-nasal cancer (PMR: 5.04; 95% CI: 3.54–7.19), as well as for unexpected risks such as male breast cancer in the pharmaceutical industry (PMR: 2.56; 95% CI: 1.33–4.93) and brain cancer in railways (PMR: 1.43; 95% CI: 1.24–1.66). The OMM proved to be a valid tool for research studies to generate hypotheses about the occupational etiology of diseases, and to monitor and support priority actions for risk reduction in workplaces.

Suggested Citation

  • Stefania Massari & Vittoria Carolina Malpassuti & Alessandra Binazzi & Lorena Paris & Claudio Gariazzo & Alessandro Marinaccio, 2022. "Occupational Mortality Matrix: A Tool for Epidemiological Assessment of Work-Related Risk Based on Current Data Sources," IJERPH, MDPI, vol. 19(9), pages 1-15, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5652-:d:809632
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    References listed on IDEAS

    as
    1. Oliver Reed & Ibrahim Jubber & Jon Griffin & Aidan P Noon & Louise Goodwin & Syed Hussain & Marcus G Cumberbatch & James W F Catto, 2020. "Occupational bladder cancer: A cross section survey of previous employments, tasks and exposures matched to cancer phenotypes," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-15, October.
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    Cited by:

    1. Lisa Bauleo & Stefania Massari & Claudio Gariazzo & Paola Michelozzi & Luca Dei Bardi & Nicolas Zengarini & Sara Maio & Massimo Stafoggia & Marina Davoli & Giovanni Viegi & Alessandro Marinaccio & Giu, 2023. "Sector of Employment and Mortality: A Cohort Based on Different Administrative Archives," IJERPH, MDPI, vol. 20(10), pages 1-16, May.

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