Interrelationship between subjective wellbeing and health.

BACKGROUND: Subjective wellbeing (SWB) and health are important facets of any person's life, and they tend to influence each other. This importance is reflected in the vastness of literature aiming to explore this association. However, most of this literature is based on sampling national population which may present different population characteristics to those of a province. Thus, the paper aims to investigate if the association between perceived health and SWB is moderated by population characteristics at a provincial level. We intend to add value to subjective wellbeing and health literature by reviewing the relationship between SWB and health in the Eastern Cape stratified by age, gender, rural and urban and different income classifications. METHODS: Different population characteristics tend to associate to subjective wellbeing and health differently, therefore influencing how these two variables influence each other. Thus, the paper aims to investigate if the association between perceived health and SWB is moderated by population characteristics at a provincial level. Utilising the South African National Income Dynamics Survey from 2008 to 2017, this study examined the relationship between subjective wellbeing and health using a random effects model stratified according to aforementioned population characteristics. RESULTS: A better perceived health status is associated with higher subjective wellbeing. A better subjective wellbeing is also associated with a higher health status. Determinants of subjective wellbeing and health associate with these variables differently besides income and employment which led to higher subjective wellbeing and health. Health associates to subjective wellbeing different across populations characteristics. CONCLUSION: Subjective wellbeing and health are interdependent as reflected in the World Health Organisation (WHO) and United Nation (UN) statements. Higher income and level of education and being employed is associated with both higher SWB and health. Therefore, improving these economic outcomes maybe associated with an improvement in well-being and health as desired by WHO and UN. Provinces differ, and different population characteristics tend to associate with subjective wellbeing and health differently, therefore influencing how these two variables influence each other. Health improvement policies must consider subjective wellbeing. Well-being improvement policies need to be cognisant of the differences in provincial and population characteristics.

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.

Impact evaluation of a youth led intervention to increase COVID-19 vaccine uptake in Kwazulu-Natal, South Africa.

BACKGROUND: COVID-19 vaccination rates in South Africa remain low at 51% of the adult population being fully vaccinated, defined as having two shorts of the COVID-19 vaccine with or without a booster. To improve vaccine uptake, a community-based intervention was tested in a high vaccine hesitancy community in South Africa. Trained community youths used social media, face to face interactions, door to door and neighbourhood outreach activities to deliver the intervention. METHODS: To assess if the intervention had an impact, data was collected before the intervention and after the intervention in two districts, Wentworth an intervention site and Newlands East a control site. Both districts are in KwaZulu Natal Province, South Africa. The following outcomes, changes on perceptions and knowledge about COVID-19, intention to get vaccinated for those who were not fully vaccinated and vaccination uptake were assessed using difference-in-difference methods applied through Augmented Inverse-Probability Weighting and contrasts of Potential Outcome Means (POM). RESULTS: One thousand, one hundred and fifty (1 150) participants agreed to take part in the study at baseline, and 916 (80%) were followed up after the 9-week intervention period. Intention to get vaccinated for COVID-19 was higher (difference-in-difference, DID 20%, 95% CI 6% - 35% higher), more people were fully vaccinated (DID 10%, 95% CI 0% - 20%) or partially vaccinated (DID 16%, 95% CI 6% - 26%) in Wentworth the intervention site compared to Newlands East, the control site. There were noticeable increases on the percentage of study participants indicating trust on the Government's COVID 19 programme, from 24% at baseline to 48% after the intervention in the intervention group than in the control group, 26% baseline and 29% at follow-up. There was a 10% (absolute) increase on the percentage of participants' saying they believed health care workers provided reliable information, 58% at baseline and 68% at follow-up in the intervention group, but there was little change in the control group 56% and 57% for baseline and follow-up respectively. CONCLUSION: The youth-led intervention implemented in Wentworth, a community with a high rate of vaccine hesitancy, was effective in increasing vaccination uptake. Given the low COVID-19 vaccine coverage in South Africa and across the African region, as well as the new emerging variant of concern (XBB 1.5), there is an urgent need to scale up such intervention at the community level to address persistent misinformation and promote vaccine equality.