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. 2013 Nov 4:13:1037.
doi: 10.1186/1471-2458-13-1037.

Socio-economic inequality and HIV in South Africa

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Socio-economic inequality and HIV in South Africa

Njeri Wabiri et al. BMC Public Health. .

Abstract

Background: The linkage between the socio-economic inequality and HIV outcomes was analysed using data from a population-based household survey that employed multistage-stratified sampling. The goal is to help refocus attention on how HIV is linked to inequalities.

Methods: A socio-economic index (SEI) score, derived using Multiple Correspondence Analysis of measures of ownership of durable assets, was used to generate three SEI groups: Low (poorest), Middle, and Upper (no so poor). Distribution of HIV outcomes (i.e. HIV prevalence, access to HIV/AIDS information, level of stigma towards HIV/AIDS, perceived HIV risk and sexual behaviour) across the SEI groups, and other background characteristics was assessed using weighted data. Univariate and multivariate logistic regression was used to assess the covariates of the HIV outcomes across the socio-economic groups. The study sample include 14,384 adults 15 years and older.

Results: More women (57.5%) than men (42.3%) were found in the poor SEI [P<0.001]. HIV prevalence was highest among the poor (20.8%) followed by those in the middle (15.9%) and those in the upper SEI (4.6%) [P<0.001]. It was also highest among women compared to men (19.7% versus 11.4% respectively) and among black Africans (20.2%) compared to other races [P<0.001]. Individuals in the upper SEI reported higher frequency of HIV testing (59.3%) compared to the low SEI (47.7%) [P< 0.001]. Only 20.5% of those in poor SEI had "good access to HIV/AIDS information" compared to 79.5% in the upper SEI (P<0.001). A higher percentage of the poor had a stigmatizing attitude towards HIV/AIDS (45.6%) compared to those in the upper SEI (34.8%) [P< 0.001]. There was a high personal HIV risk perception among the poor (40.0%) and it declined significantly to 10.9% in the upper SEI.

Conclusions: Our findings underline the disproportionate burden of HIV disease and HIV fear among the poor and vulnerable in South Africa. The poor are further disadvantaged by lack of access to HIV information and HIV/AIDS services such as testing for HIV infection. There is a compelling urgency for the national HIV/AIDS response to maximizing program focus for the poor particularly women.

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References

    1. Mishra V, Assche SB, Greener R, Vaessen M, Hong R, Ghys PD. HIV infection does not disproportionately affect the poorer in sub-Saharan Africa. AIDS. 2007;21(Suppl 7):S17–S28. doi: 10.1097/01.aids.0000300532.51860.2a. - DOI - PubMed
    1. Gillespie S. Poverty, food insecurity, HIV vulnerability, and the impacts of AIDS in Sub-saharan africa. IDS Bull. 2008;39:10–18.
    1. UNAIDS. Report on the Global AIDS Pandemic, Joint United Nations Programme on HIV/AIDS. Geneva, Switzerland: UNAIDS; 2004.
    1. Gonzalez L, Seley C, Martorano J, Garcia-Moreno I, Troncoso A. Infections and inequalities: anemia in AIDS, the disadvantages of poverty. Asian Pac J Trop Biomed. 2012;2:485–488. - PMC - PubMed
    1. Bingenheimer JB. Wealth, wealth indices and HIV risk in east africa. Int Fam Plan Perspect. 2007;33:83–84. doi: 10.1363/3308307. - DOI - PubMed

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