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Tuberculosis Mortality by Occupation in South Africa, 2011–2015
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 Sout...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313633/ https://www.ncbi.nlm.nih.gov/pubmed/30563175 http://dx.doi.org/10.3390/ijerph15122756 |
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author | Kootbodien, Tahira Wilson, Kerry Tlotleng, Nonhlanhla Ntlebi, Vusi Made, Felix Rees, David Naicker, Nisha |
author_facet | Kootbodien, Tahira Wilson, Kerry Tlotleng, Nonhlanhla Ntlebi, Vusi Made, Felix Rees, David Naicker, Nisha |
author_sort | Kootbodien, Tahira |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6313633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63136332019-06-17 Tuberculosis Mortality by Occupation in South Africa, 2011–2015 Kootbodien, Tahira Wilson, Kerry Tlotleng, Nonhlanhla Ntlebi, Vusi Made, Felix Rees, David Naicker, Nisha Int J Environ Res Public Health Article 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. MDPI 2018-12-05 2018-12 /pmc/articles/PMC6313633/ /pubmed/30563175 http://dx.doi.org/10.3390/ijerph15122756 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kootbodien, Tahira Wilson, Kerry Tlotleng, Nonhlanhla Ntlebi, Vusi Made, Felix Rees, David Naicker, Nisha Tuberculosis Mortality by Occupation in South Africa, 2011–2015 |
title | Tuberculosis Mortality by Occupation in South Africa, 2011–2015 |
title_full | Tuberculosis Mortality by Occupation in South Africa, 2011–2015 |
title_fullStr | Tuberculosis Mortality by Occupation in South Africa, 2011–2015 |
title_full_unstemmed | Tuberculosis Mortality by Occupation in South Africa, 2011–2015 |
title_short | Tuberculosis Mortality by Occupation in South Africa, 2011–2015 |
title_sort | tuberculosis mortality by occupation in south africa, 2011–2015 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313633/ https://www.ncbi.nlm.nih.gov/pubmed/30563175 http://dx.doi.org/10.3390/ijerph15122756 |
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