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HIV-Prevalence in South Africa by settlement type: A repeat population-based cross-sectional analysis of men and women

To assess i) whether there is an independent association between HIV-prevalence and settlement types (urban formal, urban informal, rural formal, rural informal), and, ii) whether this changes over time, in South Africa. We draw on four (2002; 2005; 2008; 2012) cross-sectional South African househol...

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Autores principales: Gibbs, Andrew, Reddy, Tarylee, Dunkle, Kristin, Jewkes, Rachel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077822/
https://www.ncbi.nlm.nih.gov/pubmed/32182255
http://dx.doi.org/10.1371/journal.pone.0230105
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author Gibbs, Andrew
Reddy, Tarylee
Dunkle, Kristin
Jewkes, Rachel
author_facet Gibbs, Andrew
Reddy, Tarylee
Dunkle, Kristin
Jewkes, Rachel
author_sort Gibbs, Andrew
collection PubMed
description To assess i) whether there is an independent association between HIV-prevalence and settlement types (urban formal, urban informal, rural formal, rural informal), and, ii) whether this changes over time, in South Africa. We draw on four (2002; 2005; 2008; 2012) cross-sectional South African household surveys. Data is analysed by sex (male/female), and for women by age categories (15–49; and 15–24; 25–49) at all-time points, for men in 2012 data is analysed by age categories (15–24; 25–49). By settlement type and sex/age combinations, we descriptively assess the association between socio-demographic and HIV-risk factors; HIV-prevalence; and trends in HIV-prevalence by time. Relative risk ratios assess unadjusted and adjusted risk for HIV-prevalence by settlement type. All estimates are weighted, and account for survey design. In all survey years, and combinations of sex/age categorisations, HIV-prevalence is highest in urban informal settlements. For men (15–49) an increasing HIV-prevalence over time in rural informal settlements was seen (p = 0.001). For women (15–49) HIV-prevalence increases over time for urban informal, rural informal, rural formal, and women (15–24) decreases in urban formal and urban informal, and women (25–49) increases urban informal and rural informal settlements. In analyses adjusting for potential socio-demographic and risk factors, compared to urban formal settlements, urban informal settlements had consistently higher relative risk of HIV for women, in all age categorisations, for instance in 2012 this was RR1.89 (1.50, 2.40) for all women (15–49), for 15–24 (RR1.79, 1.17–2.73), and women 25–49 (RR1.91, 1.47–2.48). For men, in the overall age categorization, urban informal settlements had a higher relative risk for HIV in all years. In 2012, when this was disaggregated by age, for men 15–24 rural informal (IRR2.69, 1.28–5.67), and rural formal (RR3.59, 1.49–8.64), and for men 25–49 it was urban informal settlements with the highest (RR1.68, 1.11–2.54). In 2012, rural informal settlements also had higher adjusted relative risk for HIV-prevalence for men (15–49) and women (15–49; 15–24; 25–49). In South Africa, HIV-prevalence is patterned geographically, with urban informal settlements having a particularly high burden. Geographical targeting of responses is critical for the HIV-response.
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spelling pubmed-70778222020-03-23 HIV-Prevalence in South Africa by settlement type: A repeat population-based cross-sectional analysis of men and women Gibbs, Andrew Reddy, Tarylee Dunkle, Kristin Jewkes, Rachel PLoS One Research Article To assess i) whether there is an independent association between HIV-prevalence and settlement types (urban formal, urban informal, rural formal, rural informal), and, ii) whether this changes over time, in South Africa. We draw on four (2002; 2005; 2008; 2012) cross-sectional South African household surveys. Data is analysed by sex (male/female), and for women by age categories (15–49; and 15–24; 25–49) at all-time points, for men in 2012 data is analysed by age categories (15–24; 25–49). By settlement type and sex/age combinations, we descriptively assess the association between socio-demographic and HIV-risk factors; HIV-prevalence; and trends in HIV-prevalence by time. Relative risk ratios assess unadjusted and adjusted risk for HIV-prevalence by settlement type. All estimates are weighted, and account for survey design. In all survey years, and combinations of sex/age categorisations, HIV-prevalence is highest in urban informal settlements. For men (15–49) an increasing HIV-prevalence over time in rural informal settlements was seen (p = 0.001). For women (15–49) HIV-prevalence increases over time for urban informal, rural informal, rural formal, and women (15–24) decreases in urban formal and urban informal, and women (25–49) increases urban informal and rural informal settlements. In analyses adjusting for potential socio-demographic and risk factors, compared to urban formal settlements, urban informal settlements had consistently higher relative risk of HIV for women, in all age categorisations, for instance in 2012 this was RR1.89 (1.50, 2.40) for all women (15–49), for 15–24 (RR1.79, 1.17–2.73), and women 25–49 (RR1.91, 1.47–2.48). For men, in the overall age categorization, urban informal settlements had a higher relative risk for HIV in all years. In 2012, when this was disaggregated by age, for men 15–24 rural informal (IRR2.69, 1.28–5.67), and rural formal (RR3.59, 1.49–8.64), and for men 25–49 it was urban informal settlements with the highest (RR1.68, 1.11–2.54). In 2012, rural informal settlements also had higher adjusted relative risk for HIV-prevalence for men (15–49) and women (15–49; 15–24; 25–49). In South Africa, HIV-prevalence is patterned geographically, with urban informal settlements having a particularly high burden. Geographical targeting of responses is critical for the HIV-response. Public Library of Science 2020-03-17 /pmc/articles/PMC7077822/ /pubmed/32182255 http://dx.doi.org/10.1371/journal.pone.0230105 Text en © 2020 Gibbs 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gibbs, Andrew
Reddy, Tarylee
Dunkle, Kristin
Jewkes, Rachel
HIV-Prevalence in South Africa by settlement type: A repeat population-based cross-sectional analysis of men and women
title HIV-Prevalence in South Africa by settlement type: A repeat population-based cross-sectional analysis of men and women
title_full HIV-Prevalence in South Africa by settlement type: A repeat population-based cross-sectional analysis of men and women
title_fullStr HIV-Prevalence in South Africa by settlement type: A repeat population-based cross-sectional analysis of men and women
title_full_unstemmed HIV-Prevalence in South Africa by settlement type: A repeat population-based cross-sectional analysis of men and women
title_short HIV-Prevalence in South Africa by settlement type: A repeat population-based cross-sectional analysis of men and women
title_sort hiv-prevalence in south africa by settlement type: a repeat population-based cross-sectional analysis of men and women
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077822/
https://www.ncbi.nlm.nih.gov/pubmed/32182255
http://dx.doi.org/10.1371/journal.pone.0230105
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