The rationale for South Africa to prioritise mental health care as a critical aspect of overall health care.

BACKGROUND: The publication of South Africa's National Mental Health Policy Framework and Strategic Plan 2023-2030 and the proposed National Health Insurance (NHI) make it timely to review that state of mental health services in the country, and to emphasize the importance of prioritising mental health as a pivotal component of holistic healthcare. METHOD: We searched the published literature on mental health using Google Scholar, Pubmed, and Bing Chat, focusing on these words: epidemiology of mental health disorders, depression and anxiety disorders, mental health services, mental health facilities, human resources, financing and impact of COVID-19 on mental health in South Africa and beyond. We also searched the grey literature on mental health policy that is publicly available on Google. RESULTS: We provided information on the epidemiology and economic impact of mental health disorders, the availability of mental health services, enabling policies, human resources, financing, and the infrastructure for mental health service delivery in South Africa. We detail the high lifetime prevalence rates of common mental disorders, as well as the profound impact of socioeconomic determinants such as poverty, unemployment, and trauma on mental health disorders. We note the exacerbating effect of the COVID-19 pandemic, and emphasize the pressing need for a robust mental health care system. CONCLUSION: In addition to outlining the challenges, such as limited mental health service availability, a shortage of mental health professionals, and financial constraints, the review proposes potential solutions, including task-sharing, telehealth, and increasing the production of mental health professionals. The paper underscores the necessity of crafting a comprehensive NHI package of mental health services tailored to the local context. This envisioned package would focus on evidence-based interventions, early identification, and community-based care. By prioritising mental health and addressing its multifaceted challenges, South Africa can aspire to render accessible and equitable mental health services for all its citizens within the framework of the National Health Insurance.

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.

Trends and correlates of HIV prevalence among adolescents in South Africa: evidence from the 2008, 2012 and 2017 South African National HIV Prevalence, Incidence and Behaviour surveys.

BACKGROUND: Adolescents are at increased risk of HIV infection compared to other age groups. There is an urgent need for strategic information that will inform programmes to reduce risk and vulnerability to HIV and reverse the pattern of increasing HIV infection as they transition to adulthood. This paper analysed trends and factors associated with HIV prevalence among adolescents in South Africa using the national HIV population-based household surveys conducted in 2008, 2012 and 2017. METHODS: All three surveys used a multistage cross-sectional design. A trend analysis was conducted to assess the differences in HIV prevalence and covariates overtime using P-trend Chi-squared statistic. Univariate and multivariate logistic regression models were used to determine factors associated with HIV prevalence. RESULTS: Overall there was a significant increase in HIV prevalence among adolescents aged 12-19 years from 3.0% (n = 2892) in 2008 to 3.2% (n = 4829) in 2012 and 4.1% (n = 3937) in 2017 (p = 0.031). The odds of being HIV positive among adolescents aged 12-19 years was significantly higher among females [AOR = 2.24; 95% CI (1.73-2.91); p < 0.001] than males, those residing in KwaZulu-Natal province [AOR = 2.01; 95% CI (1.-3.99); p = 0.027] than Northern Cape, and those who did not attend an educational institution and were unemployed [AOR = 2.66; 95% CI (1.91-3.67); p < 0.001] compared to those attending an educational institution. The odds were significantly lower among Whites [AOR = 0.29; 95% CI (0.09-0.93); p = 0.037], Coloureds [AOR = 0.21; 95% CI (0.11-0.37); p ≤ 0.001] and Indian/Asian [AOR = 0.08; 95% CI (0.02-0.34); p = 0.001] population groups than Black Africans. CONCLUSION: The observed increasing trend and gender disparities in HIV prevalence suggests an urgent need for age appropriate and gender specific HIV interventions tailored and targeted at identified drivers of HIV infection among adolescents.

Trends, prevalence and factors associated with hypertension and diabetes among South African adults living with HIV, 2005-2017.

BACKGROUND: Many people are now living longer with HIV due to access to antiretroviral treatment. In turn, there has been an increase in the burden of hypertension and diabetes. The paucity of data on the burden of hypertension and diabetes in adults living with HIV in South Africa is a public health concern. The paper aimed to describe the prevalence and factors associated with hypertension and diabetes among adults living with HIV (ALHIV). METHODS: This was a secondary data analysis of the population based on the South African National HIV Prevalence, Incidence, Behaviour and Communication surveys for 2005, 2008 and 2017. Descriptive statistics were used to summarise the characteristics of the study sample. Bivariate and multivariate logistic regression analyses were used to determine factors associated with hypertension and diabetes. RESULTS: The total study population of ALHIV aged 25 years and older was 978, 1023 and 2483 for 2005, 2008 and 2017. The prevalence of hypertension showed an increasing trend at 11.8% in 2005, 9.5% in 2008 and 14.3% in 2017. The prevalence of diabetes was 3.3% in 2005, 2.8% in 2008 and 3.2% in 2017. Increased odds of hypertension among adults living with HIV were consistently associated with being female and the age group 45 years older across all the survey years, including pensioners and the sick, living in urban areas, high risk of hazardous alcohol consumption, diabetes and heart disease. Increased odds of diabetes were consistently associated with hypertension across all the survey years, including age group 45 years and older, and poor health. While having a secondary level of education and above was protective against diabetes. CONCLUSION: The study showed that the prevalence of hypertension is high and has increased over time among adults living with HIV while the prevalence of diabetes has remained constant. Findings identified factors consistently associated with the prevalence of both diseases overtime, including contemporary risk factors that should be targeted in the integrated management of chronic disease and HIV care model.

Prevalence and factors associated with intimate partner violence among the adolescent girls and young women in South Africa: findings the 2017 population based cross-sectional survey.

BACKGROUND: Evidence indicate that intimate partner violence (IPV) is disturbingly high among South African adolescent girls and young women (AGYW). Understanding prevalence and risk factors for IPV among these emerging adults is critical for developing appropriate interventions to prevent adverse health outcomes later in life. This study investigates the prevalence and factors associated with lifetime physical IPV experience among AGYW, aged 15-24 years, using the South African national HIV prevalence, incidence, behaviour and communication survey conducted in 2017. METHODS: The data used in this secondary analysis was obtained from a cross-sectional, population-based household survey data, conducted using a multi-stage stratified random cluster sampling approach. Multivariate stepwise backward logistic regression modelling was used to determine factors associated with IPV. RESULTS: Of 716 AGYW that responded to the two commonly answered questions on IPV, 13.1% (95% CI: 9.6-17.6) indicated that they experienced IPV. The odds of reporting experiences of IPV were significantly lower among AGYW residing in high SES households [AOR = 0.09 (95% CI: 0.02-0.47), p = 0.004] than low SES households, and those residing in rural informal/tribal areas [AOR = 0.01 (95% CI: 0.00-0.22), p = 0.004] than urban areas. AGYW experiencing IPV had higher odds of reporting psychological distress compared to their counterparts [AOR = 4.37 (95% CI, 0.97-19.72), p = 0.054]. CONCLUSION: The findings highlight the need for targeted structural and psychosocial interventions in low SES households and especially in urban areas.

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.

HIV Prevalence and ART Use Among Men in Partnerships with 15-29 Year Old Women in South Africa: HIV Risk Implications for Young Women in Age-Disparate Partnerships.

This study assesses whether men's ART use mitigates HIV-risk within age-disparate partnerships. Using data from the 2012 South African National HIV survey, we analyzed differences in HIV prevalence and ART use between men in age-disparate and age-similar partnerships with young women aged 15-29 using multiple logistic regression analyses. Within partnerships involving women 15-24 years old, men in age-disparate partnerships were more likely to be HIV-positive (5-9 year age-gap: aOR 2.8, 95%CI 1.4-5.2; p < 0.01; 10+ year age-gap: aOR 2.2, 95%CI 1.0-4.6; p < 0.05). Men in age-disparate partnerships who were 5-9 years older were significantly more likely to be HIV-positive and ART-naïve (aOR 2.4, 95%CI 1.2-4.8; p < 0.05), while this was not the case for men 10+ years older (aOR 1.5, 95%CI 0.7-3.6; p = 0.32). No evidence was found that 25-29 year old women were at greater HIV-risk in age-disparate partnerships. Our results indicate that young women aged 15-24 have a greater likelihood of exposure to HIV through age-disparate partnerships, but ART use among men 10+ years older could mitigate risk.

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.

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

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.

Health status and years of sexually active life among older men and women in South Africa.

Little is known about sexual activity in old age, particularly in Africa. The objective of this paper is to estimate years of sexually active life for older men and women, and examine the association between sexual activity and self-rated health status. Data were extracted from two large cross sectional HIV household surveys conducted in 2005 and 2012 in South Africa. The Sullivan method was used to estimate sexually active life expectancy, whilst logistic regression was used to assess associations with sexual activity. Sexually active life expectancy was higher among men across all the age groups in both surveys. At age 50, the sexually active life expectancy for men was double that for women - 2005 (12.6 vs. 5.9 years), 2012 (12.7 vs. 7.2 years). Self-rated health was significantly associated with sexual activity in men (adjusted Odds Ratio (aOR) 1.56; 95% CI 1.11-2.19; p<0.001). Among older women, moderate exercise was associated with being sexual active, while HIV infection was significantly associated with reduced sexual activity. The presence of chronic conditions was also significantly associated with reduced sexual activity among men. The results confirm that older adults are sexually active, and that factors associated with sexual activity are different for men and women. HIV among women and chronic conditions among men are areas of intervention to improve sexual activity in older people.

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.

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.

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.

Determinants of psychological distress among individuals who are aware of their HIV serostatus in South Africa: findings from the 2017 national HIV prevalence, incidence, behavior, and communication survey.

Introduction: Psychological distress is a growing public health challenge among people living with HIV. This study investigated the prevalence of psychological distress among individuals who know their HIV positive or negative serostatus in South Africa using 2017 data from a nationwide cross-sectional household-based population survey. Methods: The data for this secondary analysis was collected using a multi-stage stratified cluster randomized sampling design. Multivariable backward stepwise generalized linear regression models were fitted to determine factors associated with psychological distress as measured by the Kessler Scale (K10) among HIV-positive and HIV-negative individuals who know their serostatus in South Africa. Results: Of 18,662 participants, psychological distress was 27.4% (95% CI: 25.3-29.7) among those HIV-positive and 20.1% (95% C: 18.8-21.4) among those HIV-negative. The odds of psychological distress were significantly higher among HIV-positive individuals who rated their health as fair/poor [AOR = 1.22 (95% CI: 1.09-1.35), p < 0.001], and the odds were lower among those residing in rural formal/farm areas [AOR = 0.85 (95% CI: 0.78-0.93), p < 0.001], and those with tertiary education level [AOR = 0.88 (95% CI: 0.78-0.99), p = 0.033]. The odds of psychological distress in HIV-negative individuals were significantly higher among females than males [AOR = 1.09 (95% CI: 1.05-1.14), p < 0.001], high-risk alcohol drinkers [AOR = 1.26 (95% CI: 1.02-1.57), p = 0.035] and hazardous alcohol drinkers [AOR = 1.09 (95% CI: 1.01-1.18), p = 0.028] than abstainers and those who rated their health as fair/poor rather than excellent/good [AOR = 1.18 (95% CI: 1.10-1.26), p < 0.001]. Conclusion: The study underscores the importance of addressing, alcohol misuse and socio-structural inequalities linked to gender and race-based disparities, such as low educational attainment and unemployment, as critical factors associated with psychological distress in the study population.

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.

Past and current status of adolescents living with HIV in South Africa, 2005-2017.

OBJECTIVES: This paper reports HIV prevalence, incidence, progress towards the UNAIDS (90-90-90) targets, and HIV drug resistance among adolescents living with HIV in South Africa. We conducted secondary analyses using data extracted from the South African national HIV prevalence surveys (2005-2017). Analyses were stratified by sex and age (10-14 and 15-19-years), presenting weighted descriptive statistics, and realised totals. RESULTS: HIV prevalence increased from 3.0% in 2012 to 3.7% in 2017, translating to 360 582 (95% CI 302 021-419 144) HIV positive adolescents in 2017. Female adolescents bear a disproportionate HIV burden of 5.6% prevalence versus 0.7% for males. HIV incidence remained relatively stable. For the UNAIDS 90-90-90 targets, approximately 62.3% of adolescents knew their HIV status, 65.4% of whom were on antiretroviral therapy, and of these 78.1% on antiretroviral therapy had attained viral load suppression. There are knowledge gaps pertaining to the magnitude of perinatal infections and postnatal infections, and socio-behavioural risk factors for HIV transmission among adolescents in South Africa. There is still a need for focussed interventions targeting adolescent (1) gender disparities in HIV risk (2) screening for HIV, (3) sustained access and adherence to antiretroviral therapy and (3) retention in care to maintain viral load suppression.

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.