Nompumelelo Zungu

Stigma, Culture, and HIV and AIDS in the Western Cape, South Africa: An Application of the PEN-3 Cultural Model for Community-Based Research:

HIV- and AIDS-related stigma has been reported to be a major factor contributing to the spread of HIV. In this study, the authors explore the meaning of stigma and its impact on HIV and AIDS in South African families and health care centers. They conducted focus group and key informant interviews among African and Colored populations in Khayelitsha, Gugulethu, and Mitchell’s Plain in the Western Cape province. The audio-recorded interviews were transcribed and coded using NVivo. Using the PEN-3 cultural model, the authors analyzed results showing that participants’ shared experiences ranged from positive/nonstigmatizing, to existential/ unique to the contexts, to negative/stigmatizing. Families and health care centers were found to have both positive nonstigmatizing values and negative stigmatizing characteristics in addressing HIV/AIDS-related stigma. The authors conclude that a culture-centered analysis, relative to identity, is central to understanding the nature and contexts of HIV/AIDS-related stigma in South Africa.

Gender and Poverty in South Africa in the Era of HIV/AIDS: A Quantitative Study

BACKGROUND Recent research identifies gender inequality as a driver of the HIV/AIDS epidemic. The feminization of poverty is also increasingly apparent, as is the disproportionate vulnerability of members of female-headed households. We sought to examine the relationships among sex, gender, age, HIV status, and socioeconomic characteristics, focusing on heads and nonheads of households. METHODS We interviewed 6,338 men and 10,057 women. RESULTS Significantly more males (51.4%) than females (34.8%) indicated that they were heads of households (p < 0.001). Female heads of households were significantly more likely to be infected with HIV than their male counterparts (17.9% vs. 13.1%). Among 15-24-year-old males, those who are often without cash are more likely to be infected with HIV than those who are never without cash (OR = 3.33, 95% CI 1.17-9.49). Similar results were observed among females, who sometimes had no cash (OR = 1.86, 95% CI 1.22-2.82), and among adults aged >or=25 years. Results confirmed that age and gender are related to HIV infection in South Africa and that poverty is a social determinant for HIV infection across all age groups. However, sex is a determinant only among the younger age groups. Young female heads of household are more likely to be poor and are more likely to be HIV positive. CONCLUSIONS The results indicate that the HIV/AIDS epidemic in South Africa is characterized by gender inequalities. Young women are more likely to be HIV infected, especially heads of households. Young women are also more likely to live in poverty, although this study cannot establish the directionality of a causative relationship between poverty and risk of HIV. Greater attention must be paid to young women, especially those who head households, in terms of treatment, prevention, and poverty alleviation.

Rethinking HIV/AID disclosure among women within the context of motherhood in South Africa.

This qualitative study explored whether motherhood plays a role in influencing decisions to conceal or reveal knowledge of seropositive status among women living with HIV/AIDS in 2 South African communities: Gugulethu and Mitchells Plain. Using the PEN-3 cultural model, we explored how HIV-positive women disclose their status to their mothers and how HIV-positive mothers make decisions about disclosure of their seropositive status. Our findings revealed 3 themes: the positive consequences of disclosing to mothers, how being a mother influences disclosure (existential role of motherhood), and the cost of disclosing to mothers (negative consequences). The findings highlight the importance of motherhood in shaping decisions to reveal or conceal knowledge of seropositive status. Implications for interventions on HIV/AIDS prevention, care, and support are discussed.

New insights into HIV epidemic in South Africa: key findings from the National HIV Prevalence, Incidence and Behaviour Survey, 2012

This article presents key findings from the 2012 HIV prevalence, incidence and behaviour survey conducted in South Africa and explores trends in the HIV epidemic. A representative household based survey collected behavioural and biomedical data among people of all ages. Chi-squared test for association and formal trend tests (2002, 2005, 2008 and 2012) were used to test for associations and trends in the HIV epidemic across the four surveys. In 2012 a total of 38 431 respondents were interviewed from 11 079 households; 28 997 (67.5%) of 42 950 eligible individuals provided blood specimens. HIV prevalence was 12.2% [95% CI: 11.4–13.1] in 2012 with prevalence higher among females 14.4% than males 9.9%. Adults aged 25–49 years were most affected, 25.2% [95% CI: 23.2–27.3]. HIV prevalence increased from 10.6% [95%CI: 9.8–11.6] in 2008 to 12.2% [95% CI: 11.4–13.1] in 2012 (p < 0.001). Antiretroviral treatment (ART) exposure doubled from 16.6% in 2008 to 31.2% in 2012 (p < 0.001). HIV incidence in 2012 among persons 2 years and older was 1.07% [95% CI: 0.87–1.27], with the highest incidence among Black African females aged 20–34 years at 4.5%. Sexual debut before 15 years was reported by 10.7% of respondents aged 15–24 years, and was significantly higher among male youth than female (16.7% vs. 5.0% respectively, p < 0.001). Reporting of multiple sexual partners in the previous 12 months increased from 11.5% in 2002 to 18.3% in 2012 (p < 0.001). Condom use at last sex dropped from 45.1% in 2008 to 36.2% in 2012 (p < 0.001). Levels of accurate HIV knowledge about transmission and prevention were low and had decreased between 2008 and 2012 from 31.5% to 26.8%. South Africa is on the right track with scaling up ART. However, there have been worrying increases in most HIV-related risk behaviours. These findings suggest that there is a need to scale up prevention methods that integrate biomedical, behavioural, social and structural prevention interventions to reverse the tide in the fight against HIV.

Research capacity building: a US-South African partnership.

Research capacity building engenders assets that allow communities (and, in this case, student fellows) to respond adequately to health issues and problems that are contextual, cultural and historical in nature. In this paper, we present a US—South African partnership that led to research training for 30 postgraduate students at two South African universities. We begin by exploring the nature of research capacity building in a partnership research project designed to promote HIV and AIDS-related stigma reduction. We examine methodological issues and their relevance to training of postgraduate students in South Africa. We conclude with recommendations for a successful model of partnership for building capacity of health researchers in Africa with the goal of developing research that informs policies and helps to bridge the health inequity gap globally.

Poverty and HIV and AIDS

In recent years there has been an increased interest to study and understand poverty and how it impacts on disease and epidemics (Boucekkine and Laffargue, 2007). In particular, the focus has been to understand the relationship between poverty and HIV/AIDS, especially in sub-Saharan Africa, where HIV prevalence is high and consequences are also harsh on already vulnerable communities (Cohen, 1998). The worsening economic situation is likely to continue to impact negatively on health and development, especially in countries that are already severely affected by HIV and AIDS. In the context of this background, it is important to review the link between HIV and AIDS and poverty in order to further understand the relationship between the two.

Age-disparate sex and HIV risk for young women from 2002 to 2012 in South Africa

Introduction: Age‐disparate sex has long been considered a factor that increases HIV risk for young women in South Africa. However, recent studies from specific regions in South Africa have found conflicting evidence. Few studies have assessed the association between age‐disparate partnerships (those involving an age gap of 5 years or more) and HIV risk at the national level. This study investigates the relationship between age‐disparate sex and HIV status among young women aged 15–24 in South Africa.

ISIBINDI, creating circles of care for orphans and vulnerable children in South Africa : post-programme outcomes

This paper presents the evaluation of post-programme outcomes of the ISIBINDI model, a community-based intervention to promote physical and psychosocial well-being of orphans and vulnerable children (OVC) in South Africa. A mixed methods quasi-experimental design was used to investigate the differences between former ISIBINDI participants (18 years and older) and a control group of similar background. ISIBINDI ex-participants at 12 sites (n = 427) and a control group of non-participants (n = 177) completed a questionnaire which explored level of education and employment, psychosocial well-being and HIV risk behaviour. Focus group discussions were conducted with various stakeholders. Ex-participants reported higher self-esteem and problem-solving abilities, family support and lower HIV risk behaviour than the control group. High levels of unemployment especially in rural areas resulted in unemployment of out-of-school OVC which creates new forms of vulnerability. The benefits of the programme may be compromised by the lack of community resources. An effective exit strategy is needed to contribute to financial independence of OVC after exiting the programme.

Does marital status matter in an HIV hyperendemic country? Findings from the 2012 South African National HIV Prevalence, Incidence and Behaviour Survey

ABSTRACT South Africa has experienced declining marriage rates and the increasing practice of cohabitation without marriage. This study aims to improve the understanding of the relationship between marital status and HIV in South Africa, an HIV hyperendemic country, through an analysis of findings from the 2012 South African National HIV Prevalence, Incidence and Behaviour Survey. The nationally representative population-based cross-sectional survey collected data on HIV and socio-demographic and behavioural determinants in South Africa. This analysis considered respondents aged 16 years and older who consented to participate in the survey and provided dried blood spot specimens for HIV testing (N = 17,356). After controlling for age, race, having multiple sexual partners, condom use at last sex, urban/rural dwelling and level of household income, those who were married living with their spouse had significantly reduced odds of being HIV-positive compared to all other marital spouses groups. HIV incidence was 0.27% among respondents who were married living with their spouses; the highest HIV incidence was found in the cohabiting group (2.91%). Later marriage (after age 24) was associated with increased odds of HIV prevalence. Our analysis suggests an association between marital status and HIV prevalence and incidence in contemporary South Africa, where odds of being HIV-positive were found to be lower among married individuals who lived with their spouses compared to all other marital status groups. HIV prevention messages therefore need to be targeted to unmarried populations, especially cohabitating populations. As low socio-economic status, low social cohesion and the resulting destabilization of sexual relationships may explain the increased risk of HIV among unmarried populations, it is necessary to address structural issues including poverty that create an environment unfavourable to stable sexual relationships.

Determinants of multiple sexual partnerships in South Africa

BACKGROUND This paper aims to examine determinants of multiple sexual partnerships (MSPs) among South African men and women using a nationally representative sample. METHODS Quantitative and qualitative data from a 2008 population-based cross-sectional survey were used. The analysis focused on the 6990 (33.6% of total sample) who were 15 years and older and reported sexual activity in the prior 12 months. The qualitative component consisted of 15 focus group interviews investigating values underlying MSP behaviors. RESULTS Predictors of MSP common across gender were race, having a history of STI, being in a short relationships (<1 year) and suspecting the current partner of infidelity. MSP among men enjoyed greater community acceptance and was mainly done for social status. Furthermore, men reporting MSP were mostly younger (15-24 years old) and use condom at last sex. Among women, determinants of MSP included economic vulnerability, younger age at sexual debut and living in formal urban rather than formal rural areas. CONCLUSIONS The data presented in this paper reinforces the importance of MSP as a risk factor for HIV and outline factors that should strongly be considered in strengthening condom use promotion and of partner reduction programs messaging in South Africa.