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Injury mortality in rural South Africa 2000 – 2007: rates and associated factors*

OBJECTIVE: To estimate injury mortality rates in a rural population in KwaZulu-Natal, South Africa and to identify socio-demographic risk factors associated with adult injury-related deaths. METHODS: The study used population-based mortality data collected by a demographic surveillance system on all...

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Autores principales: Garrib, Anupam, Herbst, Abraham J, Hosegood, Victoria, Newell, Marie-Louise
Formato: Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3085120/
https://www.ncbi.nlm.nih.gov/pubmed/21284789
http://dx.doi.org/10.1111/j.1365-3156.2011.02730.x
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author Garrib, Anupam
Herbst, Abraham J
Hosegood, Victoria
Newell, Marie-Louise
author_facet Garrib, Anupam
Herbst, Abraham J
Hosegood, Victoria
Newell, Marie-Louise
author_sort Garrib, Anupam
collection PubMed
description OBJECTIVE: To estimate injury mortality rates in a rural population in KwaZulu-Natal, South Africa and to identify socio-demographic risk factors associated with adult injury-related deaths. METHODS: The study used population-based mortality data collected by a demographic surveillance system on all resident and non-resident members of 11 000 households. Deaths and person-years of observation (pyo) were aggregated for individuals between 01 January 2000 and 31 December 2007. Cause of death was determined by verbal autopsy, coded using ICD-10 and further categorised using global burden of disease categories. Socio-demographic risk factors associated with injuries were examined using regression analyses. RESULTS: We analysed data on 133 483 individuals with 717 584.6 person-years of observation (pyo) and 11 467 deaths. Of deaths, 8.9% were because of injury-related causes; 11% occurred in children <15 years old. Homicide, road traffic injuries and suicide were the major causes. The estimated crude injury mortality rate was 142.4 (134.0, 151.4)/100 000 pyo; 116.9 (108.1, 126.5)/100 000 pyo among residents and 216.8 (196.5, 239.2)/100 000 pyo among non-residents. In multivariable analyses, the differences between residents and non-residents remained but were no longer significant for women. In men and women, full-time employment was significantly associated with lower mortality [adjusted rate ratios 0.6 (0.4, 0.9); 0.4 (0.2, 0.9)]; in men, higher asset ownership was independently associated with increased mortality [adjusted rate ratio 1.5 (1.1, 1.9)]. CONCLUSIONS: Reducing the high levels of injury-related mortality in South Africa requires intersectoral primary prevention efforts that redress the root causes of violent and accidental deaths: social inequality, poverty and alcohol abuse.
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spelling pubmed-30851202011-05-13 Injury mortality in rural South Africa 2000 – 2007: rates and associated factors* Garrib, Anupam Herbst, Abraham J Hosegood, Victoria Newell, Marie-Louise Trop Med Int Health Injury OBJECTIVE: To estimate injury mortality rates in a rural population in KwaZulu-Natal, South Africa and to identify socio-demographic risk factors associated with adult injury-related deaths. METHODS: The study used population-based mortality data collected by a demographic surveillance system on all resident and non-resident members of 11 000 households. Deaths and person-years of observation (pyo) were aggregated for individuals between 01 January 2000 and 31 December 2007. Cause of death was determined by verbal autopsy, coded using ICD-10 and further categorised using global burden of disease categories. Socio-demographic risk factors associated with injuries were examined using regression analyses. RESULTS: We analysed data on 133 483 individuals with 717 584.6 person-years of observation (pyo) and 11 467 deaths. Of deaths, 8.9% were because of injury-related causes; 11% occurred in children <15 years old. Homicide, road traffic injuries and suicide were the major causes. The estimated crude injury mortality rate was 142.4 (134.0, 151.4)/100 000 pyo; 116.9 (108.1, 126.5)/100 000 pyo among residents and 216.8 (196.5, 239.2)/100 000 pyo among non-residents. In multivariable analyses, the differences between residents and non-residents remained but were no longer significant for women. In men and women, full-time employment was significantly associated with lower mortality [adjusted rate ratios 0.6 (0.4, 0.9); 0.4 (0.2, 0.9)]; in men, higher asset ownership was independently associated with increased mortality [adjusted rate ratio 1.5 (1.1, 1.9)]. CONCLUSIONS: Reducing the high levels of injury-related mortality in South Africa requires intersectoral primary prevention efforts that redress the root causes of violent and accidental deaths: social inequality, poverty and alcohol abuse. Blackwell Publishing Ltd 2011-04 /pmc/articles/PMC3085120/ /pubmed/21284789 http://dx.doi.org/10.1111/j.1365-3156.2011.02730.x Text en © 2011 Blackwell Publishing Ltd http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Injury
Garrib, Anupam
Herbst, Abraham J
Hosegood, Victoria
Newell, Marie-Louise
Injury mortality in rural South Africa 2000 – 2007: rates and associated factors*
title Injury mortality in rural South Africa 2000 – 2007: rates and associated factors*
title_full Injury mortality in rural South Africa 2000 – 2007: rates and associated factors*
title_fullStr Injury mortality in rural South Africa 2000 – 2007: rates and associated factors*
title_full_unstemmed Injury mortality in rural South Africa 2000 – 2007: rates and associated factors*
title_short Injury mortality in rural South Africa 2000 – 2007: rates and associated factors*
title_sort injury mortality in rural south africa 2000 – 2007: rates and associated factors*
topic Injury
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3085120/
https://www.ncbi.nlm.nih.gov/pubmed/21284789
http://dx.doi.org/10.1111/j.1365-3156.2011.02730.x
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