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We combined behavioral survey data from the human immunodeficiency virus (HIV) Prevention Trials Network 068 study with phylogenetic information to determine if cluster membership was associated with characteristics of young women and their partners. Clusters were more likely to involve young women from specific villages and schools, indicating some localized transmission.Supplemental digital content is available in the text.

In common with most countries, little is know about the geographic distribution of human immunodeficiency virus (HIV) in South Africa. Variations in HIV infection of persons 15-24 years of age were modeled and mapped using generalized linear spatial models and Bayesian prediction based on data from a national HIV household survey conducted in 2003 and comprising 11,904 youth from approximately 700 enumeration areas that were randomly selected from the national census. The maps show considerable variation in HIV prevalence within provinces. The lowest levels were found in inland rural areas of the Western Cape, and the highest in northwestern parts of KwaZulu Natal, southern Mpumalanga, and eastern Free State. Prevalence of HIV was associated with ethnicity, urban status, and unemployment. Detailed maps of HIV prevalence can be effectively used in guiding and focusing intervention programs to areas of particular need.

HIV infection is high among South African youth but most report being unaware of their HIV status. We explored the correlates of HIV testing using data from youth aged 15-24 years old who reported being sexually experienced during a national survey conducted in South Africa in 2003 (N=7665). Among sexually experienced youth, 32.7% of females and 17.7% of males reported having been tested for HIV. In multivariable analysis, ever being pregnant (OR = 2.97; 95% CI 2.36-3.73), ever starting a conversation about HIV/AIDS (OR = 1.29; 95% CI 1.0-1.65) and urban residence (OR = 2.0; 95% CI 1.58-2.52) were independent correlates of HIV testing among sexually experienced females. Among sexually experienced males, HIV-positive status (OR = 1.76; 95% CI 1.14-2.73), personally knowing someone that died of AIDS (OR = 1.68; 95% CI 1.14-2.47), being aged 20-24 years (OR = 1.56; 95% CI 1.10-2.22) and having completed high school (OR = 1.58; 95% CI 1.17-2.12) were independent correlates of HIV testing. The following factors were significantly associated with HIV testing among both men and women; ever talking to parents about HIV/AIDS, ever participating in a loveLife programme, a higher frequency of visits to a clinic in the past 12 months and non-black race (p<0.05). There is a need to better understand the correlates of HIV testing to ensure that adolescent HIV prevention programmes actively promote HIV testing among this group. Specific attention needs to be paid to young women who do not access antenatal care and young men who are less regular users of routine clinical care. Communication is a significant predictor of having tested for HIV and should be encouraged with parents and through intervention programmes for adolescents. Finally, specific attention must be paid to increasing access to HIV testing for at-risk adolescents in rural communities. [ABSTRACT FROM AUTHOR]

The prevalence of HIV infection in Africa is substantially higher among young women than it is among young men. Biological explanations of this difference have been presented but there has been little exploration of social factors. In this paper we use data from Carletonville, South Africa to explore various social explanations for greater female infection rates. This paper reports on data from a random sample of 507 people between 13 and 24 years old. Subjects were tested for HIV, as well as other sexually transmitted infections (STIs), and answered a behavioural questionnaire. The age-prevalence of HIV infection differs between men and women with considerably higher rates of increase with age among young women. The age of sexual debut did not differ significantly between men and women (15.9 and 16.3 years, respectively) and below the age of 20 years there was no difference in the number or distribution of the number of sexual partners reported by men or women. The risk of infection per partnership was substantially higher among women than among men. Women have sexual partners who are, on average, about five years older than they are with some variation with age. Scaling the age-prevalence curve for men by the age of their sexual partners gives a curve whose shape is indistinguishable from that for women but is about 30% lower for men than for women. In terms of social explanations for HIV rates among women, the data indicates that this difference can be explained by the relative age of sexual partners, but not by other factors explored. In addressing the epidemic among young women it will be essential to deal with the social factors that lead young women to select their partners from older-age cohorts and that shape their sexual networking patterns. [ABSTRACT FROM AUTHOR]

Presents the results of a cross-sectional biomedical and social survey conducted in the gold-mining complex of Carletonville in South Africa. Assessment of the prevalence of HIV and selected sexually transmitted infections (STI); Associations between HIV and a range of biological and social variables; Basis for evaluating the impact of the intervention on rates of STI and HIV.

Background Integration of depression screening into primary care may increase access to mental health services in sub-Saharan Africa, but this approach requires validated screening instruments. We sought to validate the Patient Health Questionnaire-9 (PHQ-9) as a depression screening tool at a high HIV-burden primary care clinic in Johannesburg, South Africa. Methods We conducted a validation study of an interviewer-administered PHQ-9 among 397 patients. Sensitivity and specificity of the PHQ-9 were calculated with the Mini International Neuropsychiatric Interview (MINI) as the reference standard; receiver operating characteristic (ROC) curve analyses were performed. Results The prevalence of depression was 11.8%. One-third of participants tested positive for HIV. HIV-infected patients were more likely to be depressed (15%) than uninfected patients (9%; p =0.08). Using the standard cutoff score of ≥10, the PHQ-9 had a sensitivity of 78.7% (95% CI: 64.3–89.3) and specificity of 83.4% (95% CI: 79.1–87.2). The area under the ROC curve was 0.88 (95% CI: 0.83–0.92). Test performance did not vary by HIV status or language. In sensitivity analyses, reference test bias associated with the MINI appeared unlikely. Limitations We were unable to conduct qualitative work to adapt the PHQ-9 to this cultural context. Conclusion This is the first validation study of the PHQ-9 in a primary care clinic in sub-Saharan Africa. It highlights the potential for using primary care as an access point for identifying depressive symptoms during routine HIV testing. The PHQ-9 showed reasonable accuracy in classifying cases of depression, was easily implemented by lay health workers, and is a useful screening tool in this setting. [ABSTRACT FROM AUTHOR]