Seroprevalence survey of anti-SARS-CoV-2 antibody and associated factors in South Africa: Findings of the 2020-2021 population-based household survey.

Population-based serological testing is important to understand the epidemiology and estimate the true cumulative incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to inform public health interventions. This study reports findings of a national household population SARS-CoV-2 serosurvey in people 12 years and older in South Africa. This cross-sectional multi-stage random stratified cluster survey undertaken from November 2020 to June 2021 collected sociodemographic data, medical history, behavioural data, and blood samples from consenting participants. The samples were tested for SARS-CoV-2 antibodies using the Roche ElecsysAnti-SARS-CoV-2 chemiluminescence immunoassay (CLIA) Total Antibody Test. The survey data were weighted by age, race, sex, and province with final individual weights benchmarked against the 2020 mid-year population estimates and accounted for clustering. Descriptive statistics summarize the characteristics of participants and seroprevalence. Logistic regression analyses were used to identify factors associated with seropositivity. From 13290 survey participants (median age 33 years, interquartile range (IQR) 23-46 years), SARS-CoV-2 seroprevalence was 37.8% [95% Confidence Interval (CI) 35.4-40.4] and varied substantially across the country's nine provinces, and by sex, age and locality type. In the final adjusted model, the odds of seropositivity were higher in women than in men [aOR = 1.3 (95% CI: 1.0-1.6), p = 0.027], and those living with HIV (self-report) [aOR = 1.6 (95% CI: 1.0-2.4), p = 0.031]. The odds were lower among those 50 years and older compared to adolescents 12-19 years old [aOR = 0.6 (95% CI: 0.5-0.8), p<0.001] and in those who did not attend events or gatherings [aOR = 0.7 (95% CI: 0.6-1.0), p = 0.020]. The findings help us understand the epidemiology of SARS-CoV-2 within different regions in a low-middle-income country. The survey highlights the higher risk of infection in women in South Africa likely driven by their home and workplace roles and also highlighted a need to actively target and include younger people in the COVID-19 response.

The HIV care continuum for sexually active transgender women in three metropolitan municipalities in South Africa: findings from a biobehavioural survey 2018-19.

BACKGROUND: Despite high HIV prevalence in transgender women in sub-Saharan Africa, to our knowledge no study presents data across the HIV care continuum for this population in the region. The aim of this study was to estimate HIV prevalence and present data to develop the HIV care continuum indicators for transgender women in three South African metropolitan municipalities. METHODS: Biobehavioural survey data were collected among sexually active transgender women in the metropolitan municipalities of Johannesburg, Buffalo City, and Cape Town, South Africa. Transgender women (aged ≥18 years, self-reporting consensual sex with a man in the 6 months before the survey) were recruited using respondent-driven sampling (RDS). An interviewer-administered questionnaire was used to determine awareness of HIV status; blood specimens were collected on dried blood spots to test for HIV antibodies, antiretroviral treatment (ART) exposure, and viral load suppression. Population-based estimates of HIV 95-95-95 cascade indicators were derived by use of individualised RDS weights with RDS Analyst software. Multivariate stepwise backward logistic regression modelling was used to determine factors associated with each cascade indicator. All eligible participants were included in the final analysis. FINDINGS: Between July 26, 2018, and March 15, 2019, we enrolled 887 sexually active transgender women: 323 in Johannesburg, 305 in Buffalo City, and 259 in Cape Town. HIV prevalence was highest in Johannesburg where 229 (74·1%) of 309 tests were positive (weighted prevalence estimate 63·3%, 95% CI 55·5-70·5), followed by Buffalo City where 121 (43·7%) of 277 were positive (46·1%, 38·7-53·6), and then Cape Town where 122 (48·4%) of 252 were positive (45·6%, 36·7-54·7). In Johannesburg, an estimated 54·2% (95% CI 45·8-62·4) of transgender women with HIV knew their positive status, in Cape Town this was 24·2% (15·4-35·8), and in Buffalo City this was 39·5% (27·1-53·4). Among those who knew their status, 82·1% (73·3-88·5) in Johannesburg, 78·2% (57·9-90·3) in Cape Town, and 64·7% (45·2-80·2) in Buffalo City were on ART. Of those on ART, 34·4% (27·2-42·4) in Johannesburg, 41·2% (30·7-52·6) in Cape Town, and 55·0% (40·7-68·4) in Buffalo City were virally suppressed. INTERPRETATION: Innovative strategies are needed to inform efforts to diagnose and to treat transgender women living with HIV promptly to achieve viral load suppression. Differentiated HIV services tailored to transgender women of race groups other than Black South African, and those with low education attainment and low outreach exposure, innovative testing, and adherence strategies should be developed to improve the HIV cascade for South African transgender women. FUNDING: The US President's Emergency Plan For AIDS Relief and US Centers for Disease Control and Prevention.

Exploring HIV status as a mediator in the relationship of psychological distress with socio-demographic and health related factors in South Africa: findings from the 2012 nationally representative population-based household survey.

BACKGROUND: Psychological distress as measured by mental disorders like depression and anxiety is more prevalent in people living with HIV (PLHIV) than in the general population. However, the relationship between mental disorders and HIV is complex and bidirectional. Improved understanding of the relationship between mental disorders and HIV is important for designing interventions for this group. This paper explores the interrelationships of psychological distress with HIV and associated socio-demographic and health-related factors. METHODS: This secondary data analysis used the 2012 South African population-based household survey on HIV collected using a cross-sectional multi-stage stratified cluster sampling design. Generalized structural equation modelling (G-SEM) path analysis was used to explore the direct and indirect relationships of socio-demographic, health and HIV-related factors with psychological distress as measured by Kessler 10 scale using HIV status as a moderator variable. RESULTS: A total of 20,083 participants were included in the study, 21.7% reported psychological distress, of whom (32.6%) were HIV positive. In the final path model with HIV status as a moderator, psychological distress was significantly more likely among age group 25-49 years (AOR: 1.4 [95% CI 1.3-1.6]), age 50 years and older, (AOR: 1.4 [95% CI 1.2-1.6]), females (AOR: 1.6 [95% CI 1.4-1.8]), high risk drinkers (AOR: 1.9 [1.6-2.2]) hazardous drinkers (AOR: 4.4 [95% CI 3.1-6.3]), ever tested for HIV (AOR: 1.2 [95% CI 1.1-1.3]). Psychological distress was significantly less likely among the married [AOR: 0.8 (0.7-0.9)], other race groups [AOR: 0.5 (0.5-0.6)], those with secondary level education (AOR: 0.9 [95% CI 0.8-0.9]), and tertiary level education (AOR: 0.7 [95% CI 0.6-0.9]), those from rural informal [AOR: 0.8 (0.7-0.9)], and rural formal [AOR: 0.8 (0.7-0.9)] areas and those who rated their health as excellent/good [AOR: 0.4 (0.4-0.5)]. CONCLUSION: The findings highlight the importance of designing tailored interventions targeted at psychological distress among PLHIV especially the elderly, females, those with no education and / or low education attainment and those residing in informal urban areas.

The HIV Epidemic in South Africa: Key Findings from 2017 National Population-Based Survey.

South Africa has the largest number of people living with HIV worldwide. South Africa has implemented five population-based HIV prevalence surveys since 2002 aimed at understanding the dynamics and the trends of the epidemic. This paper presents key findings from the fifth HIV prevalence, incidence, and behaviour survey conducted in 2017 following policy, programme, and epidemic change since the prior survey was conducted in 2012. A cross-sectional population-based household survey collected behavioural and biomedical data on all members of the eligible households. A total of 39,132 respondents from 11,776 households were eligible to participate, of whom 93.6% agreed to be interviewed, and 61.1% provided blood specimens. The provided blood specimens were used to determine HIV status, HIV incidence, viral load, exposure to antiretroviral treatment, and HIV drug resistance. Overall HIV incidence among persons aged 2 years and above was 0.48% which translates to an estimated 231,000 new infections in 2017. HIV prevalence was 14.0% translating to 7.9 million people living with HIV. Antiretroviral (ARV) exposure was 62.3%, with the lowest exposure among those aged 15 to 24 years (39.9%) with 10% lower ARV coverage among males compared to females. Viral suppression among those on treatment was high (87.3%), whilst HIV population viral load suppression was much lower (62.3%). In terms of risk behaviours, 13.6% of youth reported having had an early sexual debut (first sex before the age of 15 years), with more males reporting having done so (19.5%) than females (7.6%). Age-disparate relationships, defined as having a sexual partner 5+ years different from oneself,) among adolescents were more common among females (35.8%) than males (1.5%). Self-reported multiple sexual partnerships (MSPs), defined as having more than one sexual partner in the previous 12 months, were more commonly reported by males (25.5%) than females (9.0%). Condom use at last sexual encounter was highest among males than females. Three quarters (75.2%) of people reported they had ever been tested for HIV, with more females (79.3%) having had done so than males (70.9%). Two-thirds of respondents (66.8%) self-reported having tested for HIV in the past 12 months. Finally, 61.6% of males in the survey self-reported as having been circumcised, with circumcision being more common among youth aged 15-24 years (70.2%), Black Africans (68.9%), and those living in both rural informal (tribal) areas (65%) and urban areas (61.9%). Slightly more (51.2%) male circumcisions were reported to have occurred in a medical setting than in traditional settings (44.8%), with more young males aged 15-24 (62.6%) and men aged 25-49 (51.5%) reporting to have done so compared to most men aged 50 and older (57.1%) who reported that they had undergone circumcision in a traditional setting. The results of this survey show that strides have been made in controlling the HIV epidemic, especially in the reduction of HIV incidence, HIV testing, and treatment. Although condom use at last sex act remains unchanged, there continue to be some challenges with the lack of significant behaviour change as people, especially youth, continue to engage in risky behaviour and delay treatment initiation. Therefore, there is a need to develop or scale up targeted intervention programmes to increase HIV testing further and put more people living with HIV on treatment as well as prevent risky behaviours that put young people at risk of HIV infection.

Is There Risk Compensation among HIV Infected Youth and Adults 15 Years and Older on Antiretroviral Treatment in South Africa? Findings from the 2017 National HIV Prevalence, Incidence, Behaviour and Communication Survey.

In this paper, risk compensation among individuals on antiretroviral therapy (ART), using the 2017 South African national survey on HIV, is explored. A multi-stage stratified cluster random sampling approach was used to realize 11,130 participants 15 years and older. Logistic regression analysis assessed the association between multiple sexual partners, condom use at last sexual encounter, consistency of condom usage and potential explanatory variables using HIV status and ART exposure as a mediator variable. HIV positive participants who were aware and on ART were less likely to have multiple sexual partners, and less likely not to use a condom at last sex compared to HIV positive participants who were aware but not on ART. The odds of reporting multiple sexual partners were significantly lower among older age groups, females, non-Black Africans, and rural settings, and higher among those with tertiary level education, and risky alcohol users. The odds of no condom use at last sexual encounter were more likely among older age groups, females, other race groups, and less likely among those with secondary level education. The odds of inconsistent condom use were more likely among older age groups, females, and other race groups, and less likely among those with tertiary level education, high risk and hazardous alcohol users. Risk compensation is not apparent among HIV infected adults who are on ART. Risk groups that should receive tailored interventions to reduced risky sexual behaviours were identified.

HIV Prevalence and Associated Factors Among Men in South Africa 30 Years into the Epidemic: The Fifth Nationwide Cross-Sectional Survey.

We investigated HIV prevalence and associated factors among men ≥ 15 years in South Africa using data from a 2017 nationwide cross-sectional survey. HIV prevalence was 10.5% among 6 646 participants. Prevalence increased from 4.1% in the younger men (15-24 years), 12.5% in young men (25-34 years) to 12.7% in older men (≥ 35 years). Odds of being infected with HIV were lower among younger men who had secondary level education and those who reported poor/fair self-rated health. Young and older men of other race groups had lower odds of HIV infection. Odds of infection were lower among young men who had moderate/high exposure to HIV communication programmes. Men not aware of their HIV status had higher odds of HIV infection, including older men who never married. Improved access to education, behavioral change programmes, and awareness of HIV status are necessary to reduce the risk of HIV infection among Black African men.

Association Between ART Adherence and Mental Health: Results from a National HIV Sero-Behavioural Survey in South Africa.

This paper assesses the levels of antiretroviral treatment (ART) adherence and mental health distress among study participants in a national behavioural HIV-sero prevalence study South Africa. The study was a cross-sectional population-based multi-stage stratified cluster random survey, (SABSSM V, 2017). Structured questionnaires were used to collect information on socio-demographics, HIV knowledge, perceptions, HIV testing and HIV treatment history. Study participants were tested for HIV infection, antiretroviral use, viral suppression, and ART drug resistance. A total of 2155 PLHIV aged 15 years or older who were on ART were included in the study. Incidence of either moderate or severe mental health distress was 19.7%. Self-reported ART adherence among study participants with no, mild, moderate, or severe mental distress was 82%, 83%, 86% and 78%, respectively. The adjusted odds ratio for ART non-adherence was 0.58 (95% CI 0.24; 1.40) for mild mental distress, 0.82 (95% CI 0.35; 1.91) for moderate mental distress and 2.19 (95% CI 1.14; 4.19) for severe mental distress groups compared to the no mental health distress group. The other factors that were associated with ART non-adherence in adjusted models included education level, alcohol use and province/region of residence. The study revealed that mental health remains a challenge to ART adherence in South Africa. To improve ART adherence, HIV continuum of care programs should include screening for mental health among people living with HIV.

Geographical variation in HIV testing in South Africa: Evidence from the 2017 national household HIV survey.

BACKGROUND: Identification of the geographical areas with low uptake of HIV testing could assist in spatial targeting of interventions to improve the uptake of HIV testing. OBJECTIVES: The objective of this research study was to map the uptake of HIV testing at the district level in South Africa. METHOD: The secondary analysis used data from the Human Sciences Research Council's 2017 National HIV Prevalence, Incidence, Behaviour and Communication Survey, where data were collected using a multistage stratified random cluster sampling approach. Descriptive spatial methods were used to assess disparities in the proportion of those ever tested for HIV at the district level in South Africa. RESULTS: The districts with the highest overall coverage of people ever having tested for HIV (> 85%) include West Rand in Gauteng, Lejweleputswa and Thabo Mofutsanyane in Free State, and Ngaka Modiri Molema in North-West. These provinces also had the least variation in HIV testing coverage between their districts. Districts in KwaZulu-Natal had the widest variation in coverage of HIV testing. The districts with the lowest uptake of HIV testing were uMkhanyakude (54.7%) and Ugu (61.4%) in KwaZulu-Natal and Vhembe (61.0%) in Limpopo. Most districts had a higher uptake of HIV testing amongst female than male participants. CONCLUSION: The uptake of HIV testing across various districts in South Africa seems to be unequal. Intervention programmes must improve the overall uptake of HIV testing, especially in uMkhanyakude and Ugu in KwaZulu-Natal and Vhembe in Limpopo. Interventions must also focus on enhancing uptake of HIV testing amongst male participants in most districts. Strategies that would improve the uptake of HIV testing include HIV self-testing and community HIV testing, specifically home-based testing.

Socio-economic differences in the uptake of HIV testing and associated factors in South Africa.

BACKGROUND: Improved understanding of barriers to HIV testing is important for reaching the first of the UNAIDS 90-90-90 targets, which states that 90% of HIV positive individuals ought to know their HIV status. This study examined socio-economic status (SES) differences in HIV testing uptake and associated factors among youth and adults 15 years and older in South Africa. METHODS: This study used data from a national cross-sectional, population-based household survey conducted in 2017 using a multi-stage sampling design. A composite SES score was created using multiple correspondence analyses of household assets; households were classified into wealth quintiles and dichotomised into low SES/poorest (lowest 3 quintiles) and high SES/less-poor (highest 2 quintiles). Bivariate and multivariate logistic regression models were used to examine factors associated with the uptake of HIV testing in low and high SES households. RESULTS: HIV testing uptake was 73.8 and 76.7% among low and high SES households, respectively, both of which were below the first 90 targets. Among both low and high SES households, increased HIV testing uptake was significantly associated with females than males. The decreased likelihood was significantly associated with residing in rural formal areas than urban areas, those with no education or low levels of educational attainment and alcohol drinkers among low SES households. Whites and Indians/Asians had a decreased likelihood than Black Africans in high SES households. CONCLUSIONS: HIV testing interventions should target males, residents in rural formal areas, those with no or low education and those that consume alcohol in low SES households, including Whites and Indians/Asians from high SES households in order to bridge socio-economic disparities in the uptake of HIV testing. This should entail expanding HIV testing beyond traditional centres for voluntary counselling and testing through outreach efforts, including mobile testing and home-based testing.

Factors associated with external HIV-related stigma and psychological distress among people living with HIV in South Africa.

BACKGROUND: HIV-related stigma and psychological distress among people living with HIV (PLHIV) pose a public health challenge in most African countries. This study aims to investigate the association between HIV-related stigmatizing attitudes and psychological distress amongst PLHIV in South Africa using the 2012 nationally representative population-based household survey. METHODS: The data used in the analysis were collected using a multi-stage stratified cluster sampling design. Bivariate and multivariate logistic regression models were used to identify factors associated with stigma among PLHIV with psychological distress. A total of 2521 HIV positive individuals that responded to the question on psychological distress, 34.3% had psychological distress and 37.9% experienced high levels of HIV related stigmatizing attitudes. Stigmatizing attitudes among PLHIV with psychological distress were significantly less likely among those with secondary level education [aOR = 0.67 (95% CI: 0.44-1.01), p = 0.050], those with correct knowledge about HIV and rejection of myths about HIV [aOR = 0.58 (95% CI: 0.38-0.89), p = 0.013], and those who ever tested for HIV [aOR = 0.65 (95% CI: 0.42-1.01), p = 0.054]. CONCLUSION: The findings suggest a need to reinvigorate stigma-reduction interventions in the national HIV response with emphasis on HIV awareness and education campaigns. In addition, HIV testing services should be reinforced through communication strategies targeted against HIV stigmatization, discrimination and fear. There is also a need to continuously engage PLHIV in programs through counselling and support interventions for acceptance of HIV positive status and to help them cope with HIV-related stigma.

Factors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey data.

BACKGROUND: In South Africa, age-disparate to sexual relationships where the age difference between partners is 5 years or greater is an important contributor to the spread of HIV. However, little is known about the predictors of age-disparate sexual relationships. This study investigates factors associated with age-disparate sexual relationships among males and females in South Africa. METHODS: This analysis used the 2012 nationally representative population-based household survey conducted using multi-stage stratified cluster sampling design. Multivariate multinomial stepwise logistic regression models were used to determine factors associated with age-disparate sexual relationships. RESULTS: Of 15,717 participants, who responded to the question on age-disparate sexual relationships, 62% males versus 58.5% females had partners within 5 years older or younger, 34.7% of males versus 2.7% of females had partners at least 5 years younger and 3.3% of males versus 38.8% of females had partners at least 5 years older. Among both males and females predictors of age-disparate sexual relationships were education, employment, socioeconomic status, locality type, age at sexual debut, condom use at last sexual act and HIV status while race was also an additional predictor for among females. Including unprotected sex and risk of HIV infection among adolescent girls and young women with sexual partners 5 years older their age. CONCLUSIONS: This study suggest that there is a need for reprioritizing the combination of behavioural and structural interventions to address risky sexual behaviours, unprotected sex, poverty, limited education and gender inequitable norms related to age-disparate sexual relationships and HIV.

Towards achieving the 90-90-90 HIV targets: results from the south African 2017 national HIV survey.

BACKGROUND: Measuring progress towards the Joint United Nations Programme on HIV/AIDS (UNAIDS) 90-90-90 treatment targets is key to assessing progress towards turning the HIV epidemic tide. In 2017, the UNAIDS model estimated that 75% of people living with HIV (PLHIV) globally knew their HIV positive status, 79% of those who knew their status were on antiretroviral therapy (ART), and 81% of those who knew their HIV status and were on ART had a suppressed viral load. The fifth South African national HIV sero-behavioural survey collected nationally representative data that enabled the empirical estimation of these 90-90-90 targets for the country stratified by a variety of key factors. METHODS: To evaluate progress towards achievement of the 90-90-90 targets for South Africa, data obtained from a national, representative, cross-sectional population-based multi-stage stratified cluster random survey conducted in 2017 were analysed. The Fifth South African National HIV Prevalence, Incidence, Behaviour and Communication Survey (SABSSM V), collected behavioural and biomarker data from individuals residing in households from 1000 randomly selected Small Area Layers (SALs), across all nine provinces of the country. Structured questionnaires were used to collect socio-demographic data, knowledge and perceptions about HIV, and related risk behaviours. Blood samples were collected to test for HIV infection, antiretroviral use, and viral suppression (defined as < 1000 copies/ml). Weighted proportions of study participants aged 15 years and older who tested HIV positive were computed for those who reported awareness of their status (1st 90), and among these, those who were currently on ART (2nd 90) and of these, those who were virally suppressed (3rd 90). RESULTS: Among persons 15 years and older who were HIV positive, 84.8% were aware of their HIV positive status, of whom 70.7% were currently on ART, with 87.4% of these estimated to have suppressed viral load at the time of the survey. These estimates varied by sex, age, and geo-location type. Relatively higher percentages across all three indicators for women compared to men were observed: 88.7% versus 78.2% for those aware of their status, 72.3% versus 67.7% for on ART, and 89.8% versus 82.3% for viral suppression. Knowing one's positive HIV status increased with age: 74.0, 85.8, and 88.1% for age groups 15-24 years old, 25-49 years old and 50-64 years old, although for those 65 years and older, 78.7% knew their HIV positive status. A similar pattern was observed for the 2nd 90, among those who knew their HIV positive status, 51.7% of 15 to 24 year olds, 70.5% of those aged 25-49 years old, 82.9% of those aged 50-64 years old and 82.4% of those aged 65 years or older were currently on ART. Viral suppression for the above mentioned aged groups, among those who were on ART was 85.2, 87.2, 89.5, and 84.6% respectively. The 90-90-90 indicators for urban areas were 87.7, 66.5, and 87.2%, for rural settings was 85.8, 79.8, and 88.4%, while in commercial farming communities it was 56.2, 67.6 and 81.4%. CONCLUSIONS: South Africa appears to be on track to achieve the first 90 indicator by 2020. However, it is behind on the second 90 indicator with ART coverage that was ~ 20-percentage points below the target among people who knew their HIV status, this indicates deficiencies around linkage to and retention on ART. Overall viral suppression among those on ART is approaching the target at 87.4%, but this must be interpreted in the context of low reported ART coverage as well as with variation by age and sex. Targeted diagnosis, awareness, and treatment programs for men, young people aged 15-24 years old, people who reside in farming communities, and in specific provinces are needed. More nuanced 90-90-90 estimates within provinces, specifically looking at more granular sub-national level (e.g. districts), are needed to identify gaps in specific regions and to inform provincial interventions.

Trends and determinants of ever having tested for HIV among youth and adults in South Africa from 2005-2017: Results from four repeated cross-sectional nationally representative household-based HIV prevalence, incidence, and behaviour surveys.

BACKGROUND: HIV testing contributes to the prevention and control of the HIV epidemic in the general population. South Africa has made strides to improve HIV testing towards reaching the first of the UNAIDS 90-90-90 targets by 2020. However, to date no nationally representative analysis has examined temporal trends and factors associated with HIV testing among youth and adults in the country. AIM: This study aimed to examine the trends and associations with ever having tested for HIV among youth and adults aged 15 years and older in South Africa using the 2005, 2008, 2012 and 2017 nationally representative population-based household surveys. METHODS: The analysis of the data collected used multi-stage stratified cluster randomised cross-sectional design. P-trend chi-squared test was used to identify any significant changes over the four study periods. Bivariate and multivariate logistic regression analysis was conducted to determine factors associated with HIV testing in each of the survey periods. RESULTS: Ever having tested for HIV increased substantially from 2005 (30.6%, n = 16 112), 2008 (50.4%, n = 13 084), 2012 (65.5%, n = 26 381), to 2017 (75.2%, n = 23 190). Those aged 50 years and older were significantly less likely to ever have tested for HIV than those aged 25-49 years. Those residing in rural areas were significantly less likely to have tested for HIV as compared to people from urban areas. There was a change in HIV testing among race groups with Whites, Coloureds and Indian/Asians testing more in 2005 and 2008 and Black Africans in 2017. Marriage, education and employment were significantly associated with increased likelihood of ever testing for HIV. Those who provided a blood specimen for laboratory HIV testing in the survey rounds and were found to have tested positive were more likely to have ever tested for HIV previously. CONCLUSION: The results show that overall there has been an increase in ever having an HIV test in the South African population over time. The findings also suggest that for South Africa to close the testing gap and reach the first of the UNAIDS 90-90-90 targets by 2020, targeted programmes aimed at increasing access and utilization of HIV testing in young people, males, those not married, the less educated, unemployed and those residing in rural areas of South Africa should be prioritised.

The Health Stigma and Discrimination Framework: a global, crosscutting framework to inform research, intervention development, and policy on health-related stigmas.

Stigma is a well-documented barrier to health seeking behavior, engagement in care and adherence to treatment across a range of health conditions globally. In order to halt the stigmatization process and mitigate the harmful consequences of health-related stigma (i.e. stigma associated with health conditions), it is critical to have an explicit theoretical framework to guide intervention development, measurement, research, and policy. Existing stigma frameworks typically focus on one health condition in isolation and often concentrate on the psychological pathways occurring among individuals. This tendency has encouraged a siloed approach to research on health-related stigmas, focusing on individuals, impeding both comparisons across stigmatized conditions and research on innovations to reduce health-related stigma and improve health outcomes. We propose the Health Stigma and Discrimination Framework, which is a global, crosscutting framework based on theory, research, and practice, and demonstrate its application to a range of health conditions, including leprosy, epilepsy, mental health, cancer, HIV, and obesity/overweight. We also discuss how stigma related to race, gender, sexual orientation, class, and occupation intersects with health-related stigmas, and examine how the framework can be used to enhance research, programming, and policy efforts. Research and interventions inspired by a common framework will enable the field to identify similarities and differences in stigma processes across diseases and will amplify our collective ability to respond effectively and at-scale to a major driver of poor health outcomes globally.

Socio-demographic and behavioural profile of women in polygamous relationships in South Africa: a retrospective analysis of the 2002 population-based household survey data.

BACKGROUND: The prevalence and effect of polygamous relationships may have serious reproductive and /or health consequences for women. In South Africa, unlike in other sub-Saharan countries, no nationwide survey has investigated polygamy except for the 2002 HIV/AIDS population-based household survey. The aim of this study was to profile socio-demographic and behavioural characteristics associated with women in polygamous relationships in South Africa using the 2002 survey data. METHODS: The survey data were collected using a multi-stage stratified cluster randomised sampling design. Bivariate and multivariate logistic regression models were used to assess the relationship between polygamy, and selected socio-demographic and behavioural factors. RESULTS: Of 1437 women who responded to the question on polygamy, 8.3% reported being in a polygamous marriage. Women in polygamous marriages were significantly less likely to have tertiary education [OR = 0.03(95% CI: 0.00-0.28), p = 0.003], to have money for food and clothes [OR = 0.12 (95% CI: 0.06-0.27), p < 0.001], to have a sexual partner five years younger [OR = 0.10 (95% CI: 0.01-0.94), p = 0.044] or sexual partner within 5 years older or younger [OR = 0.35 (95% CI: 0.13-0.991), p = 0.032]. They were also significantly more likely to have two or more sexual partners [OR = 20.42 (95% CI: 1.10-379.89), p = 0.043]. CONCLUSION: The finding that polygamy is associated with uneducated and women of low economic means, who have relationships with older men and multiple sexual partners warrants further attention. Contemporary studies on polygamy are needed in South Africa.

Determinants of HIV infection among adolescent girls and young women aged 15-24 years in South Africa: a 2012 population-based national household survey.

BACKGROUND: South Africa is making tremendous progress in the fight against HIV, however, adolescent girls and young women aged 15-24 years (AGYW) remain at higher risk of new HIV infections. This paper investigates socio-demographic and behavioural determinants of HIV infection among AGYW in South Africa. METHODS: A secondary data analysis was undertaken based on the 2012 population-based nationally representative multi-stage stratified cluster random household sample. Multivariate stepwise backward and forward regression modelling was used to determine factors independently associated with HIV prevalence. RESULTS: Out of 3092 interviewed and tested AGYW 11.4% were HIV positive. Overall HIV prevalence was significantly higher among young women (17.4%) compared to adolescent girls (5.6%). In the AGYW model increased risk of HIV infection was associated with being young women aged 20-24 years (OR = 2.30, p = 0.006), and condom use at last sex (OR = 1.91, p = 0.010), and decreased likelihood was associated with other race groups (OR = 0.06, p < 0.001), sexual partner within 5 years of age (OR = 0.53, p = 0.012), tertiary level education (OR = 0.11, p = 0.002), low risk alcohol use (OR = 0.19, p = 0.022) and having one sexual partner (OR = 0.43, p = 0.028). In the adolescent girls model decreased risk of HIV infection was associated with other race groups (OR = 0.01, p < 0.001), being married (OR = 0.07), p = 0.016], and living in less poor household (OR = 0.08, p = 0.002). In the young women's models increased risk of HIV infection was associated with condom use at last sex (OR = 2.09, p = 0.013), and decreased likelihood was associated with other race groups (OR = 0.17, p < 0.001), one sexual partner (OR = 0.6, p = 0.014), low risk alcohol use (OR = 0.17, p < 0.001), having a sexual partner within 5 years of age (OR = 0.29, p = 0.022), and having tertiary education (OR = 0.29, p = 0.022). CONCLUSION: These findings support the need to design combination prevention interventions which simultaneously address socio-economic drivers of the HIV epidemic, promote education, equity and access to schooling, and target age-disparate partnerships, inconsistent condom use and risky alcohol consumption.

Trauma and mental health in South Africa: Overview.

Provides an introduction to this special edition of Psychological Trauma. The papers included in this special section focus on aspects of trauma and the effects of trauma in a cultural context that pertains to the way of life in South Africa. These articles highlight the complexities of the effects of trauma and call for tailored interventions to address the lasting effects on health and mental health. (PsycINFO Database Record

Alcohol Use, Socioeconomic Status and Risk of HIV Infections.

The present study investigated the associations among alcohol use, socioeconomic status (SES), and human immunodeficiency virus (HIV) status, in the South African context. It was hypothesized that SES (predictor; measured as median split asset score) and alcohol use in the past 12 months (predictor) would interact such that current drinkers of low SES would be at an increased risk of testing HIV-positive (outcome). Nationally representative, cross-sectional survey data from 2005 (N = 16,110), 2008 (N = 13,055), and 2012 (N = 25,979) were analyzed using multinomial regression models. Current drinkers of low SES had an elevated risk of HIV infection in all survey years, ranging from a relative risk ratio (RRR) of 1.94 (95% confidence interval (CI) 1.29-3.00, t = 2.93, p = 0.002) in 2012 to RRR of 3.51 (95% CI 2.02-6.08, t = 4.47, p < 0.001) in 2008. Targeting preventive strategies to alcohol users of low SES could help reduce HIV burden and associated socioeconomic differences.

HIV Serostatus Disclosure to Sexual Partners Among Sexually Active People Living with HIV in South Africa: Results from the 2012 National Population-Based Household Survey.

This paper explores the prevalence and correlates of HIV seropositive status disclosure to sexual partners by people living with HIV (PLHIV) in South Africa. Secondary analysis of the 2012 South African National HIV Prevalence, Incidence and Behaviour Survey was conducted on data obtained from 934 sexually active PLHIV aged 15 years and older who responded to the question about HIV seropositive status disclosure. Overall, a large majority of respondents (77.1 %) reported disclosing their HIV-positive status to all their current sex partners. Multiple regression analysis, after adjustments for sex, marital status and locality type, revealed that those who were living together, going steady, and those who were single were all 60 % [adjusted odds ratio (AOR) = 0.4, 95 % CIs 0.20-0.78; AOR = 0.4, 95 % CIs 0.24-0.77; and AOR = 0.4, 95 % CIs 0.19-1.00, all ps < 0.05] less likely to disclose their HIV positive status to their partners compared to those who were married. Those who lived in rural formal areas were 70 % less likely to disclose their HIV status to their partners compared to those who stayed in urban formal areas (AOR = 0.3, 95 % CI 0.17-0.69, p < 0.001). Those who had correct HIV knowledge and rejection of myths were 2.0 times more likely to disclose their HIV status to their partners compared to those who did not have correct HIV knowledge and rejection of myths (AOR = 2.0, 95 % CI 1.04-3.68, p < 0.05). In conclusion, intervention programmes which help improve HIV seropositive status disclosure are needed by PLHIV who are not married, live in rural formal areas, and have incorrect HIV knowledge and rejection of myths.