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Who died of what in rural KwaZulu-Natal, South Africa: a cause of death analysis using InterVA-4
BACKGROUND: For public health purposes, it is important to see whether men and women in different age groups die of the same causes in South Africa. OBJECTIVE: We explored sex- and age-specific patterns of causes of deaths in a rural demographic surveillance site in northern KwaZulu-Natal in South A...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Co-Action Publishing
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220127/ https://www.ncbi.nlm.nih.gov/pubmed/25377332 http://dx.doi.org/10.3402/gha.v7.25496 |
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author | Mossong, Joël Byass, Peter Herbst, Kobus |
author_facet | Mossong, Joël Byass, Peter Herbst, Kobus |
author_sort | Mossong, Joël |
collection | PubMed |
description | BACKGROUND: For public health purposes, it is important to see whether men and women in different age groups die of the same causes in South Africa. OBJECTIVE: We explored sex- and age-specific patterns of causes of deaths in a rural demographic surveillance site in northern KwaZulu-Natal in South Africa over the period 2000–2011. DESIGN: Deaths reported through the demographic surveillance were followed up by a verbal autopsy (VA) interview using a standardised questionnaire. Causes of death were assigned likelihoods using the publicly available tool InterVA-4. Cause-specific mortality fractions were determined by age and sex. RESULTS: Over the study period, a total of 5,416 (47%) and 6,081 (53%) deaths were recorded in men and women, respectively. Major causes of death proportionally affecting more women than men were (all p<0.0001): human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) (20.1% vs. 13.6%), other and unspecified cardiac disease (5.9% vs. 3.2%), stroke (4.5% vs. 2.7%), reproductive neoplasms (1.7% vs. 0.4%), diabetes (2.4% vs. 1.2%), and breast neoplasms (0.4% vs. 0%). Major causes of deaths proportionally affecting more men than women were (all p<0.0001) assault (6.1% vs. 1.7%), pulmonary tuberculosis (34.5% vs. 30.2%), road traffic accidents (3.0% vs. 1.0%), intentional self-harm (1.3% vs. 0.3%), and respiratory neoplasms (2.5% vs. 1.5%). Causes of death due to communicable diseases predominated in all age groups except in older persons. CONCLUSIONS: While mortality during the 2000s was dominated by tuberculosis and HIV/AIDS, we found substantial sex-specific differences both for communicable and non-communicable causes of death, some which can be explained by a differing sex-specific age structure. InterVA-4 is likely to be a valuable tool for investigating causes of death patterns in other similar Southern African settings. |
format | Online Article Text |
id | pubmed-4220127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Co-Action Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-42201272014-12-02 Who died of what in rural KwaZulu-Natal, South Africa: a cause of death analysis using InterVA-4 Mossong, Joël Byass, Peter Herbst, Kobus Glob Health Action Indepth Network Cause-Specific Mortality BACKGROUND: For public health purposes, it is important to see whether men and women in different age groups die of the same causes in South Africa. OBJECTIVE: We explored sex- and age-specific patterns of causes of deaths in a rural demographic surveillance site in northern KwaZulu-Natal in South Africa over the period 2000–2011. DESIGN: Deaths reported through the demographic surveillance were followed up by a verbal autopsy (VA) interview using a standardised questionnaire. Causes of death were assigned likelihoods using the publicly available tool InterVA-4. Cause-specific mortality fractions were determined by age and sex. RESULTS: Over the study period, a total of 5,416 (47%) and 6,081 (53%) deaths were recorded in men and women, respectively. Major causes of death proportionally affecting more women than men were (all p<0.0001): human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) (20.1% vs. 13.6%), other and unspecified cardiac disease (5.9% vs. 3.2%), stroke (4.5% vs. 2.7%), reproductive neoplasms (1.7% vs. 0.4%), diabetes (2.4% vs. 1.2%), and breast neoplasms (0.4% vs. 0%). Major causes of deaths proportionally affecting more men than women were (all p<0.0001) assault (6.1% vs. 1.7%), pulmonary tuberculosis (34.5% vs. 30.2%), road traffic accidents (3.0% vs. 1.0%), intentional self-harm (1.3% vs. 0.3%), and respiratory neoplasms (2.5% vs. 1.5%). Causes of death due to communicable diseases predominated in all age groups except in older persons. CONCLUSIONS: While mortality during the 2000s was dominated by tuberculosis and HIV/AIDS, we found substantial sex-specific differences both for communicable and non-communicable causes of death, some which can be explained by a differing sex-specific age structure. InterVA-4 is likely to be a valuable tool for investigating causes of death patterns in other similar Southern African settings. Co-Action Publishing 2014-10-29 /pmc/articles/PMC4220127/ /pubmed/25377332 http://dx.doi.org/10.3402/gha.v7.25496 Text en © 2014 Joël Mossong et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Indepth Network Cause-Specific Mortality Mossong, Joël Byass, Peter Herbst, Kobus Who died of what in rural KwaZulu-Natal, South Africa: a cause of death analysis using InterVA-4 |
title | Who died of what in rural KwaZulu-Natal, South Africa: a cause of death analysis using InterVA-4 |
title_full | Who died of what in rural KwaZulu-Natal, South Africa: a cause of death analysis using InterVA-4 |
title_fullStr | Who died of what in rural KwaZulu-Natal, South Africa: a cause of death analysis using InterVA-4 |
title_full_unstemmed | Who died of what in rural KwaZulu-Natal, South Africa: a cause of death analysis using InterVA-4 |
title_short | Who died of what in rural KwaZulu-Natal, South Africa: a cause of death analysis using InterVA-4 |
title_sort | who died of what in rural kwazulu-natal, south africa: a cause of death analysis using interva-4 |
topic | Indepth Network Cause-Specific Mortality |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220127/ https://www.ncbi.nlm.nih.gov/pubmed/25377332 http://dx.doi.org/10.3402/gha.v7.25496 |
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