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Sexual behaviour does not reflect HIV-1 prevalence differences: a comparison study of Zimbabwe and Tanzania

BACKGROUND: Substantial heterogeneity in HIV prevalence has been observed within sub-Saharan Africa. It is not clear which factors can explain these differences. Our aim was to identify risk factors that could explain the large differences in HIV-1 prevalence among pregnant women in Harare, Zimbabwe...

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Autores principales: Mapingure, Munyaradzi P, Msuya, Sia, Kurewa, Nyaradzai E, Munjoma, Marshal W, Sam, Noel, Chirenje, Mike Z, Rusakaniko, Simbarashe, Saugstad, Letten F, de Vlas, Sake J, Stray-Pedersen, Babill
Formato: Texto
Lenguaje:English
Publicado: The International AIDS Society 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2997084/
https://www.ncbi.nlm.nih.gov/pubmed/21080919
http://dx.doi.org/10.1186/1758-2652-13-45
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author Mapingure, Munyaradzi P
Msuya, Sia
Kurewa, Nyaradzai E
Munjoma, Marshal W
Sam, Noel
Chirenje, Mike Z
Rusakaniko, Simbarashe
Saugstad, Letten F
de Vlas, Sake J
Stray-Pedersen, Babill
author_facet Mapingure, Munyaradzi P
Msuya, Sia
Kurewa, Nyaradzai E
Munjoma, Marshal W
Sam, Noel
Chirenje, Mike Z
Rusakaniko, Simbarashe
Saugstad, Letten F
de Vlas, Sake J
Stray-Pedersen, Babill
author_sort Mapingure, Munyaradzi P
collection PubMed
description BACKGROUND: Substantial heterogeneity in HIV prevalence has been observed within sub-Saharan Africa. It is not clear which factors can explain these differences. Our aim was to identify risk factors that could explain the large differences in HIV-1 prevalence among pregnant women in Harare, Zimbabwe, and Moshi, Tanzania. METHODS: Cross-sectional data from a two-centre study that enrolled pregnant women in Harare (N = 691) and Moshi (N = 2654) was used. Consenting women were interviewed about their socio-demographic background and sexual behaviour, and tested for presence of sexually transmitted infections and reproductive tract infections. Prevalence distribution of risk factors for HIV acquisition and spread were compared between the two areas. RESULTS: The prevalence of HIV-1 among pregnant women was 26% in Zimbabwe and 7% in Tanzania. The HIV prevalence in both countries rises constantly with age up to the 25-30 year age group. After that, it continues to rise among Zimbabwean women, while it drops for Tanzanian women. Risky sexual behaviour was more prominent among Tanzanians than Zimbabweans. Mobility and such infections as HSV-2, trichomoniasis and bacterial vaginosis were more prevalent among Zimbabweans than Tanzanians. Reported male partner circumcision rates between the two countries were widely different, but the effect of male circumcision on HIV prevalence was not apparent within the populations. CONCLUSIONS: The higher HIV-1 prevalence among pregnant women in Zimbabwe compared with Tanzania cannot be explained by differences in risky sexual behaviour: all risk factors tested for in our study were higher for Tanzania than Zimbabwe. Non-sexual transmission of HIV might have played an important role in variation of HIV prevalence. Male circumcision rates and mobility could contribute to the rate and extent of spread of HIV in the two countries.
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spelling pubmed-29970842010-12-07 Sexual behaviour does not reflect HIV-1 prevalence differences: a comparison study of Zimbabwe and Tanzania Mapingure, Munyaradzi P Msuya, Sia Kurewa, Nyaradzai E Munjoma, Marshal W Sam, Noel Chirenje, Mike Z Rusakaniko, Simbarashe Saugstad, Letten F de Vlas, Sake J Stray-Pedersen, Babill J Int AIDS Soc Research BACKGROUND: Substantial heterogeneity in HIV prevalence has been observed within sub-Saharan Africa. It is not clear which factors can explain these differences. Our aim was to identify risk factors that could explain the large differences in HIV-1 prevalence among pregnant women in Harare, Zimbabwe, and Moshi, Tanzania. METHODS: Cross-sectional data from a two-centre study that enrolled pregnant women in Harare (N = 691) and Moshi (N = 2654) was used. Consenting women were interviewed about their socio-demographic background and sexual behaviour, and tested for presence of sexually transmitted infections and reproductive tract infections. Prevalence distribution of risk factors for HIV acquisition and spread were compared between the two areas. RESULTS: The prevalence of HIV-1 among pregnant women was 26% in Zimbabwe and 7% in Tanzania. The HIV prevalence in both countries rises constantly with age up to the 25-30 year age group. After that, it continues to rise among Zimbabwean women, while it drops for Tanzanian women. Risky sexual behaviour was more prominent among Tanzanians than Zimbabweans. Mobility and such infections as HSV-2, trichomoniasis and bacterial vaginosis were more prevalent among Zimbabweans than Tanzanians. Reported male partner circumcision rates between the two countries were widely different, but the effect of male circumcision on HIV prevalence was not apparent within the populations. CONCLUSIONS: The higher HIV-1 prevalence among pregnant women in Zimbabwe compared with Tanzania cannot be explained by differences in risky sexual behaviour: all risk factors tested for in our study were higher for Tanzania than Zimbabwe. Non-sexual transmission of HIV might have played an important role in variation of HIV prevalence. Male circumcision rates and mobility could contribute to the rate and extent of spread of HIV in the two countries. The International AIDS Society 2010-11-16 /pmc/articles/PMC2997084/ /pubmed/21080919 http://dx.doi.org/10.1186/1758-2652-13-45 Text en Copyright ©2010 Mapingure et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Mapingure, Munyaradzi P
Msuya, Sia
Kurewa, Nyaradzai E
Munjoma, Marshal W
Sam, Noel
Chirenje, Mike Z
Rusakaniko, Simbarashe
Saugstad, Letten F
de Vlas, Sake J
Stray-Pedersen, Babill
Sexual behaviour does not reflect HIV-1 prevalence differences: a comparison study of Zimbabwe and Tanzania
title Sexual behaviour does not reflect HIV-1 prevalence differences: a comparison study of Zimbabwe and Tanzania
title_full Sexual behaviour does not reflect HIV-1 prevalence differences: a comparison study of Zimbabwe and Tanzania
title_fullStr Sexual behaviour does not reflect HIV-1 prevalence differences: a comparison study of Zimbabwe and Tanzania
title_full_unstemmed Sexual behaviour does not reflect HIV-1 prevalence differences: a comparison study of Zimbabwe and Tanzania
title_short Sexual behaviour does not reflect HIV-1 prevalence differences: a comparison study of Zimbabwe and Tanzania
title_sort sexual behaviour does not reflect hiv-1 prevalence differences: a comparison study of zimbabwe and tanzania
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2997084/
https://www.ncbi.nlm.nih.gov/pubmed/21080919
http://dx.doi.org/10.1186/1758-2652-13-45
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