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Tuberculosis Mortality by Occupation in South Africa, 2011–2015

Author

Listed:
  • Tahira Kootbodien

    (National Institute for Occupational Health, National Health Laboratory Service, Braamfontein, Johannesburg 2001, South Africa)

  • Kerry Wilson

    (National Institute for Occupational Health, National Health Laboratory Service, Braamfontein, Johannesburg 2001, South Africa
    School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Witwatersrand 2193, South Africa)

  • Nonhlanhla Tlotleng

    (National Institute for Occupational Health, National Health Laboratory Service, Braamfontein, Johannesburg 2001, South Africa)

  • Vusi Ntlebi

    (National Institute for Occupational Health, National Health Laboratory Service, Braamfontein, Johannesburg 2001, South Africa)

  • Felix Made

    (National Institute for Occupational Health, National Health Laboratory Service, Braamfontein, Johannesburg 2001, South Africa)

  • David Rees

    (National Institute for Occupational Health, National Health Laboratory Service, Braamfontein, Johannesburg 2001, South Africa
    School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Witwatersrand 2193, South Africa)

  • Nisha Naicker

    (National Institute for Occupational Health, National Health Laboratory Service, Braamfontein, Johannesburg 2001, South Africa
    School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Witwatersrand 2193, South Africa
    Environmental Health Department, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2028, South Africa)

Abstract

Work-related tuberculosis (TB) remains a public health concern in low- and middle-income countries. The use of vital registration data for monitoring TB deaths by occupation has been unexplored in South Africa. Using underlying cause of death and occupation data for 2011 to 2015 from Statistics South Africa, age-standardised mortality rates (ASMRs) were calculated for all persons of working age (15 to 64 years) by the direct method using the World Health Organization (WHO) standard population. Multivariate logistic regression analysis was performed to calculate mortality odds ratios (MORs) for occupation groups, adjusting for age, sex, year of death, province of death, and smoking status. Of the 221,058 deaths recorded with occupation data, 13% were due to TB. ASMR for TB mortality decreased from 165.9 to 88.8 per 100,000 population from 2011 to 2015. An increased risk of death by TB was observed among elementary occupations: agricultural labourers (MOR adj = 3.58, 95% Confidence Interval (CI) 2.96–4.32), cleaners (MOR adj = 3.44, 95% CI 2.91–4.09), and refuse workers (MOR adj = 3.41, 95% CI 2.88–4.03); among workers exposed to silica dust (MOR adj = 3.37, 95% CI 2.83–4.02); and among skilled agricultural workers (MOR adj = 3.31, 95% CI 2.65–4.19). High-risk TB occupations can be identified from mortality data. Therefore, TB prevention and treatment policies should be prioritised in these occupations.

Suggested Citation

  • Tahira Kootbodien & Kerry Wilson & Nonhlanhla Tlotleng & Vusi Ntlebi & Felix Made & David Rees & Nisha Naicker, 2018. "Tuberculosis Mortality by Occupation in South Africa, 2011–2015," IJERPH, MDPI, vol. 15(12), pages 1-10, December.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2756-:d:188250
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    References listed on IDEAS

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    1. Hargreaves, J.R. & Boccia, D. & Evans, C.A. & Adato, M. & Petticrew, M. & Porter, J.D., 2011. "The social determinants of tuberculosis: from evidence to action," American Journal of Public Health, American Public Health Association, vol. 101(4), pages 654-662.
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