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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發表在:Journal of the International AIDS Society
Main Authors: Munyaradzi P Mapingure, Sia Msuya, Nyaradzai E Kurewa, Marshal W Munjoma, Noel Sam, Mike Z Chirenje, Simbarashe Rusakaniko, Letten F Saugstad, Sake J deVlas, Babill Stray‐Pedersen
格式: Article
語言:英语
出版: Wiley 2010-01-01
在線閱讀:https://doi.org/10.1186/1758-2652-13-45
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author Munyaradzi P Mapingure
Sia Msuya
Nyaradzai E Kurewa
Marshal W Munjoma
Noel Sam
Mike Z Chirenje
Simbarashe Rusakaniko
Letten F Saugstad
Sake J deVlas
Babill Stray‐Pedersen
author_facet Munyaradzi P Mapingure
Sia Msuya
Nyaradzai E Kurewa
Marshal W Munjoma
Noel Sam
Mike Z Chirenje
Simbarashe Rusakaniko
Letten F Saugstad
Sake J deVlas
Babill Stray‐Pedersen
author_sort Munyaradzi P Mapingure
collection DOAJ
container_title Journal of the International AIDS Society
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 doaj-art-a510ba2ccdcd4d1bb73fbd8e3d6e31e12025-08-19T21:28:36ZengWileyJournal of the International AIDS Society1758-26522010-01-01131454510.1186/1758-2652-13-45Sexual behaviour does not reflect HIV‐1 prevalence differences: a comparison study of Zimbabwe and TanzaniaMunyaradzi P Mapingure0Sia Msuya1Nyaradzai E Kurewa2Marshal W Munjoma3Noel Sam4Mike Z Chirenje5Simbarashe Rusakaniko6Letten F Saugstad7Sake J deVlas8Babill Stray‐Pedersen9Department of Community Medicine, University of Zimbabwe, Harare, ZimbabweKilimanjaro Christian Medical Centre, Moshi, TanzaniaDivision of Obstetrics and Gynaecology, Faculty of Medicine, University of Oslo and Rikshospitalet, Oslo, NorwayDivision of Obstetrics and Gynaecology, Faculty of Medicine, University of Oslo and Rikshospitalet, Oslo, NorwayKilimanjaro Christian Medical Centre, Moshi, TanzaniaDepartment of Obstetrics and Gynaecology, University of Zimbabwe, Harare, ZimbabweDepartment of Community Medicine, University of Zimbabwe, Harare, ZimbabweLetten Research Centre, University of Oslo, Oslo, NorwayDepartment of Public Health, Erasmus MC, Rotterdam, The NetherlandsDivision of Obstetrics and Gynaecology, Faculty of Medicine, University of Oslo and Rikshospitalet, Oslo, NorwayBackground 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.https://doi.org/10.1186/1758-2652-13-45
spellingShingle Munyaradzi P Mapingure
Sia Msuya
Nyaradzai E Kurewa
Marshal W Munjoma
Noel Sam
Mike Z Chirenje
Simbarashe Rusakaniko
Letten F Saugstad
Sake J deVlas
Babill Stray‐Pedersen
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
url https://doi.org/10.1186/1758-2652-13-45
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