Cargando…

Mortality in women of reproductive age in rural South Africa

OBJECTIVE: To determine causes of death and associated risk factors in women of reproductive age in rural South Africa. METHODS: Deaths and person-years of observation (pyo) were determined for females (aged 15–49 years) resident in 15,526 households in a rural South African Demographic and Health S...

Descripción completa

Detalles Bibliográficos
Autores principales: Nabukalu, Dorean, Klipstein-Grobusch, Kerstin, Herbst, Kobus, Newell, Marie-Louise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Co-Action Publishing 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3869952/
https://www.ncbi.nlm.nih.gov/pubmed/24360403
http://dx.doi.org/10.3402/gha.v6i0.22834
_version_ 1782296643160244224
author Nabukalu, Dorean
Klipstein-Grobusch, Kerstin
Herbst, Kobus
Newell, Marie-Louise
author_facet Nabukalu, Dorean
Klipstein-Grobusch, Kerstin
Herbst, Kobus
Newell, Marie-Louise
author_sort Nabukalu, Dorean
collection PubMed
description OBJECTIVE: To determine causes of death and associated risk factors in women of reproductive age in rural South Africa. METHODS: Deaths and person-years of observation (pyo) were determined for females (aged 15–49 years) resident in 15,526 households in a rural South African Demographic and Health Surveillance site from 2000 to 2009. Cause of death was ascertained by verbal autopsy and ICD-10 coded; causes were categorized as HIV/TB, non-communicable, communicable/maternal/perinatal/nutrition, injuries, and undetermined (unknown). Characteristics of women were obtained from regularly updated household visits, while HIV and self-reported health status was obtained from the annual HIV surveillance. Overall and cause-specific mortality rates (MRs) with 95% confidence intervals (CI) were calculated. The Weibull regression model (HR, 95% CI) was used to determine risk factors associated with mortality. RESULTS: A total of 42,703 eligible women were included; 3,098 deaths were reported for 212,607 pyo. Overall MRwas 14.6 deaths/1,000 pyo (95% CI: 14.1–15.1), peaking in 2003 (MR 18.2/1,000 pyo, 95% CI: 16.4–20.1) and declining thereafter (2009: MR 9.6/1,000 pyo, 95% CI: 8.4–10.9). Mortality was highest for HIV/TB (MR 10.6/1,000 pyo, 95% CI: 10.2–11.1), accounting for 73.1% of all deaths, ranging from 61.2% in 2009 to 82.7% in 2002. Adjusting for education level, marital status, age, employment status, area of residence, and migration, all-cause mortality was associated with external migration (adjusted hazard ratio, or aHR), 1.70, 95% CI: 1.41–2.05), self-reported poor health status (aHR 8.26, 95% CI: 2.94–23.15), and HIV-infection (aHR 7.84, 95% CI: 6.26–9.82); external migration and HIV infection were also associated with causes of mortality other than HIV/TB (aHR 1.62, 95% CI: 1.12–2.34 and aHR 2.59, 95% CI: 1.79–3.75). CONCLUSION: HIV/TB was the leading cause of death among women of reproductive age, although rates declined with the rollout of HIV treatment in the area from 2004. Women's age, external migration status and HIV-positive status were significantly associated with all-cause and cause-specific mortality.
format Online
Article
Text
id pubmed-3869952
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Co-Action Publishing
record_format MEDLINE/PubMed
spelling pubmed-38699522013-12-21 Mortality in women of reproductive age in rural South Africa Nabukalu, Dorean Klipstein-Grobusch, Kerstin Herbst, Kobus Newell, Marie-Louise Glob Health Action Original Article OBJECTIVE: To determine causes of death and associated risk factors in women of reproductive age in rural South Africa. METHODS: Deaths and person-years of observation (pyo) were determined for females (aged 15–49 years) resident in 15,526 households in a rural South African Demographic and Health Surveillance site from 2000 to 2009. Cause of death was ascertained by verbal autopsy and ICD-10 coded; causes were categorized as HIV/TB, non-communicable, communicable/maternal/perinatal/nutrition, injuries, and undetermined (unknown). Characteristics of women were obtained from regularly updated household visits, while HIV and self-reported health status was obtained from the annual HIV surveillance. Overall and cause-specific mortality rates (MRs) with 95% confidence intervals (CI) were calculated. The Weibull regression model (HR, 95% CI) was used to determine risk factors associated with mortality. RESULTS: A total of 42,703 eligible women were included; 3,098 deaths were reported for 212,607 pyo. Overall MRwas 14.6 deaths/1,000 pyo (95% CI: 14.1–15.1), peaking in 2003 (MR 18.2/1,000 pyo, 95% CI: 16.4–20.1) and declining thereafter (2009: MR 9.6/1,000 pyo, 95% CI: 8.4–10.9). Mortality was highest for HIV/TB (MR 10.6/1,000 pyo, 95% CI: 10.2–11.1), accounting for 73.1% of all deaths, ranging from 61.2% in 2009 to 82.7% in 2002. Adjusting for education level, marital status, age, employment status, area of residence, and migration, all-cause mortality was associated with external migration (adjusted hazard ratio, or aHR), 1.70, 95% CI: 1.41–2.05), self-reported poor health status (aHR 8.26, 95% CI: 2.94–23.15), and HIV-infection (aHR 7.84, 95% CI: 6.26–9.82); external migration and HIV infection were also associated with causes of mortality other than HIV/TB (aHR 1.62, 95% CI: 1.12–2.34 and aHR 2.59, 95% CI: 1.79–3.75). CONCLUSION: HIV/TB was the leading cause of death among women of reproductive age, although rates declined with the rollout of HIV treatment in the area from 2004. Women's age, external migration status and HIV-positive status were significantly associated with all-cause and cause-specific mortality. Co-Action Publishing 2013-12-19 /pmc/articles/PMC3869952/ /pubmed/24360403 http://dx.doi.org/10.3402/gha.v6i0.22834 Text en © 2013 Dorean Nabukalu et al. http://creativecommons.org/licenses/by/2.0/ 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 Original Article
Nabukalu, Dorean
Klipstein-Grobusch, Kerstin
Herbst, Kobus
Newell, Marie-Louise
Mortality in women of reproductive age in rural South Africa
title Mortality in women of reproductive age in rural South Africa
title_full Mortality in women of reproductive age in rural South Africa
title_fullStr Mortality in women of reproductive age in rural South Africa
title_full_unstemmed Mortality in women of reproductive age in rural South Africa
title_short Mortality in women of reproductive age in rural South Africa
title_sort mortality in women of reproductive age in rural south africa
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3869952/
https://www.ncbi.nlm.nih.gov/pubmed/24360403
http://dx.doi.org/10.3402/gha.v6i0.22834
work_keys_str_mv AT nabukaludorean mortalityinwomenofreproductiveageinruralsouthafrica
AT klipsteingrobuschkerstin mortalityinwomenofreproductiveageinruralsouthafrica
AT herbstkobus mortalityinwomenofreproductiveageinruralsouthafrica
AT newellmarielouise mortalityinwomenofreproductiveageinruralsouthafrica