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HIV and the urban homeless in Johannesburg
Abstract
Background. There are few data on HIV prevalence and risk factors among inner-city homeless and marginally housed individuals in South Africa.
Methods. We recruited 136 adults from a Johannesburg inner-city homeless clinic; mean age was 32.4 years, 129 (95%) were male, and 90 (66%) were of South African nationality. Participants were tested for HIV and answered a short demographic survey. Descriptive statistics and uni- and multivariate regression analyses were used for data analysis.
Results. The HIV prevalence in the cohort was 23.5%. Transactional sex, relationship status, number of concurrent sexual partners, condom usage and history of previously treated sexually transmitted infections (STIs), living on the street, the use of alcohol or drugs, and previous exposure to voluntary counselling and testing (VCT), were not significant risk factors for HIVpositivity. Statistically significant HIV risk factors on multivariate analysis included the presence of an STI (odds ratio (OR) 5.6; p<0.01) and unemployment (OR 6.7; p<0.01). South African nationality was a significant risk factor on univariate analysis (OR 2.99; p<0.05), but not on multivariate analysis (OR 2.2; p=0.17).
Conclusion. The HIV prevalence in the sample did not differ appreciably from HIV prevalence estimates in other at-risk populations in similar settings, suggesting that homelessness in a South African city alone may not be a significant risk factor for HIV infection. HIV prevention efforts cannot be restricted to behaviour change programmes, but must be more holistic, recognising the protective role that employment has on HIV incidence.
Methods. We recruited 136 adults from a Johannesburg inner-city homeless clinic; mean age was 32.4 years, 129 (95%) were male, and 90 (66%) were of South African nationality. Participants were tested for HIV and answered a short demographic survey. Descriptive statistics and uni- and multivariate regression analyses were used for data analysis.
Results. The HIV prevalence in the cohort was 23.5%. Transactional sex, relationship status, number of concurrent sexual partners, condom usage and history of previously treated sexually transmitted infections (STIs), living on the street, the use of alcohol or drugs, and previous exposure to voluntary counselling and testing (VCT), were not significant risk factors for HIVpositivity. Statistically significant HIV risk factors on multivariate analysis included the presence of an STI (odds ratio (OR) 5.6; p<0.01) and unemployment (OR 6.7; p<0.01). South African nationality was a significant risk factor on univariate analysis (OR 2.99; p<0.05), but not on multivariate analysis (OR 2.2; p=0.17).
Conclusion. The HIV prevalence in the sample did not differ appreciably from HIV prevalence estimates in other at-risk populations in similar settings, suggesting that homelessness in a South African city alone may not be a significant risk factor for HIV infection. HIV prevention efforts cannot be restricted to behaviour change programmes, but must be more holistic, recognising the protective role that employment has on HIV incidence.