Literature DB >> 15688569

Socioeconomic status as a risk factor for HIV infection in women in East, Central and Southern Africa: a systematic review.

Janet Maia Wojcicki1.   

Abstract

This is a critical, systematic review of the relationship between socioeconomic status (SES) and HIV infection in women in Southern, Central and Eastern Africa. In light of the interest in micro-credit programmes and other HIV prevention interventions structured to empower women through increasing women's access to funds and education, this review examines the epidemiological and public health literature, which ascertains the association between low SES using different measurements of SES and risk of HIV infection in women. Also, given the focus on structural violence and poverty as factors driving the HIV epidemic at a structural/ecological level, as advocated by Paul Farmer and others, this study examines the extent to which differences in SES between individuals in areas with generalized poverty affect risk for SES. Out of 71 studies retrieved, 36 studies met the inclusion criteria including 30 cross-sectional, one case-control and five prospective cohort or nested case-control studies. Thirty-five studies used at least one measurement of female's SES and fourteen also included a measurement of partner's SES. Studies used variables measuring educational level, household income and occupation or employment status at the individual and neighbourhood level to ascertain SES. Of the 36 studies, fifteen found no association between SES and HIV infection, twelve found an association between high SES and HIV infection, eight found an association between low SES and HIV infection and one was mixed. In interpreting these results, this review examines the role of potential confounders and effect modifiers such as history of STDs, number of partners, living in urban or rural areas and time and location of study in sub-Saharan Africa. It is argued that STDs and number of partners are on the causal pathway under investigation between HIV and SES and should not be adjusted as confounders in any analysis. In conclusion, it is argued that in low-income sub-Saharan Africans countries, where poverty is widespread, increasing access to resources for women may initially increase risk of HIV or have no effect on risk-taking behaviours. In some parts of Southern Africa where per capita income is higher and within-country inequalities in wealth are greater, studies suggest that increasing SES may decrease risk. This review concludes that increased SES may have differential effects on married and unmarried women and further studies should use multiple measures of SES. Lastly, it is suggested that the partner's SES (measured by education or income/employment) may be a stronger predictor of female HIV serostatus than measures of female SES.

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Year:  2005        PMID: 15688569     DOI: 10.1017/s0021932004006534

Source DB:  PubMed          Journal:  J Biosoc Sci        ISSN: 0021-9320


  58 in total

1.  Health Costs of Wealth Gains: Labor Migration and Perceptions of HIV/AIDS Risks in Mozambique.

Authors:  Victor Agadjanian; Carlos Arnaldo; Boaventura Cau
Journal:  Soc Forces       Date:  2011-06-04

Review 2.  The social determinants of HIV serostatus in sub-Saharan Africa: an inverse relationship between poverty and HIV?

Authors:  Ashley M Fox
Journal:  Public Health Rep       Date:  2010 Jul-Aug       Impact factor: 2.792

3.  The gendered experience of HIV testing: factors associated with prior testing differ among men and women in rural Tanzania.

Authors:  Virginia A Fonner; Jessie K Mbwambo; Caitlin E Kennedy; Michael D Sweat
Journal:  Int J STD AIDS       Date:  2019-06-03       Impact factor: 1.359

4.  Economic risk factors for HIV infection among women in rural Haiti: implications for HIV prevention policies and programs in resource-poor settings.

Authors:  M C Smith Fawzi; W Lambert; F Boehm; J L Finkelstein; J M Singler; F Léandre; P Nevil; D Bertrand; M S Claude; J Bertrand; M Louissaint; L Jeannis; P E Farmer; A T Yang; J S Mukherjee
Journal:  J Womens Health (Larchmt)       Date:  2010-05       Impact factor: 2.681

5.  In-utero exposure to antiretrovirals and neurodevelopment among HIV-exposed-uninfected children in Botswana.

Authors:  Sumona Chaudhury; Gloria K Mayondi; Paige L Williams; Jean Leidner; Roger Shapiro; Modiegi Diseko; Gbolahan Ajibola; Penny Holding; Vicki Tepper; Joseph Makhema; Chipo Petlo; George R Seage; Shahin Lockman; Betsy Kammerer
Journal:  AIDS       Date:  2018-06-01       Impact factor: 4.177

6.  Inkwari: an emerging high-risk place potentiating hiv spread among young adults in a hyper-endemic South African setting.

Authors:  Matthew J Mimiaga; Elizabeth F Closson; Steven A Safren; Zonke Mabude; Nzwakie Mosery; Scott W Taylor; Amaya Perez-Brumer; Lynn T Matthews; Christina Psaros; Abigail Harrison; David J Grelotti; David R Bangsberg; Jennifer A Smit
Journal:  Arch Sex Behav       Date:  2014-08-05

7.  Child mortality in rural Malawi: HIV closes the survival gap between the socio-economic strata.

Authors:  Andreas Jahn; Sian Floyd; Nuala McGrath; Amelia C Crampin; Lackson Kachiwanda; Venance Mwinuka; Basia Zaba; Paul E M Fine; Judith R Glynn
Journal:  PLoS One       Date:  2010-06-28       Impact factor: 3.240

8.  Can variation in HIV/STD-related risk be explained by individual SES? Findings from female sex workers in a rural Chinese county.

Authors:  Xiaoyi Fang; Xiaoming Li; Hongmei Yang; Yan Hong; Bonita Stanton; Ran Zhao; Baiqing Dong; Wei Liu; Yuejiao Zhou; Shaoling Liang
Journal:  Health Care Women Int       Date:  2008-03

9.  Generation C: prevalence of and risk factors for chlamydia trachomatis among adolescents and young women in Lima, Peru.

Authors:  Kathleen J Paul; Pedro J Garcia; Ann E Giesel; King K Holmes; Jane E Hitti
Journal:  J Womens Health (Larchmt)       Date:  2009-09       Impact factor: 2.681

10.  Effects of neighbourhood-level educational attainment on HIV prevalence among young women in Zambia.

Authors:  Nkomba Kayeyi; Ingvild F Sandøy; Knut Fylkesnes
Journal:  BMC Public Health       Date:  2009-08-25       Impact factor: 3.295

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