Risky sexual behaviors and associated factors among adult patients on antiretroviral treatment at Mankweng Hospital in Limpopo Province, South Africa.

Background: Worldwide, it is estimated that 38 million people are HIV-positive and that over 36 million people have died from the virus. In South Africa, the prevalence of HIV was reported to be 20.6% with Limpopo Province having 17% HIV. Given the high rate of new HIV infection in Limpopo, there is therefore a need to assess factors promoting risky sexual behavior among people living with HIV in order to help design and develop behavioral interventions aimed at reducing risky behaviors among people living with HIV. Methods: This was a quantitative cross-sectional prospective study, conducted in Mankweng Hospital. The study consisted of 116 participants of which 40 were males and 76 were females aged 18 years and above. The participants were selected using purposive sampling. The data was analyzed using Statistical Package for Social Sciences version 27. A comparison of proportions was performed using Chi-Square. The association between risky sexual practice and sociodemographic factors was analyzed using multivariate logistic regression. Results: The proportion of risky sexual practices in the total population was 48.3%. Participants who were married, those aged 35-44, and those with tertiary qualifications were more likely to engage in risky sexual practices. Multivariate logistic regression showed widowed participants were less likely to practice risky sexual practices. Conclusion: The present study reported a high prevalence of risky sexual practices of 48.3%. Risky sexual behavior was determined by age, marital status, and level of education. The proportion of married participants was higher in risky sexual behavior. Based on the findings of the present study, it is recommended that targeted interventions and educational programs should be implemented to reduce risky sexual behavior among married individuals, individuals aged 35-44, and individuals with tertiary qualifications.

Mental health needs among pregnant and parenting adolescent girls and young women in South Africa: A scoping review.

Teenage pregnancy and parenting pose a greater risk of developing mental health problems among pregnant and parenting adolescent girls and young women. We report on a scoping review of peer-reviewed articles to identify mental health needs and challenges among pregnant and parenting adolescent girls and young women. We adopted only five steps of the Arksey and O'Malley framework to facilitate the scoping review of 125 articles published between July 2002 and August 2022 from these databases (MEDLINE, SABINET, EBSCOhost, Science Direct) using search syntax. Major themes emerged from the thematic content analysis; challenges experienced by pregnant and parenting adolescent girls and young women and the recommended interventions, factors associated with mental health in pregnant women and parenting adolescent girls and young women, and the implications of mental health problems. Mental health challenges, among others, include depression, stress and anxiety, post-traumatic stress disorders, and suicidal thoughts. Limited mental health interventions are provided to the group, including social support, parental coaching and counselling, and guidance, which translates to an imbalance between targeted mental health interventions and mental health challenges. We recommend involvement and education of the community on social support, development of digital health programs and integration of mental health services amongst schools, clinics, and community development to support pregnant and parenting adolescent girls and young women.

Modifiable determinants of central obesity among the rural black population in the DIMAMO HDSS, Limpopo, South Africa.

Background: Central obesity is a leading risk factor for cardiometabolic diseases, in which body fat accumulates to a particular extent, and may negatively impact on health. The prevalence of abdominal obesity has increased over the last 10 years and currently surpasses that of overall obesity. There is a scarcity of data on the determinants of central obesity, especially among populations residing in rural Africa. The aim of the present study was thus to determine sociodemographic and lifestyle factors that are associated with central obesity. Methods: This was a cross-sectional, retrospective study. The present study used secondary data from the AWI-Gen phase 1 study. The study comprised 791 participants, of which 242 were men and 549 were women aged 40 years and above. The participants were selected by convenient sampling. Data were analyzed using the Statistical Package for Social Sciences version 27. A comparison of proportions was performed using the chi-square test, while a comparison of means was performed using an unpaired Student t-test. The association between sociodemographic and lifestyle factors with central obesity was analyzed using bivariate correlation, partial correlation, and binary regression analysis, and the statistical significance was set at a p-value of <0.05. Results: The proportion of central obesity in the total population was 59.9%, and significantly more women were centrally obese (79.6 vs. 15.3%, p = <0.001) as compared to men. Married status correlated positively and significantly with central obesity in both bivariate and partial correlations. Moreover, binary logistic regression further confirmed the positive association between married status and central obesity. Single status correlated negatively and significantly with central obesity. The correlation remained unchanged even after controlling for age and gender. Binary logistic regression showed that unemployment correlated significantly with central obesity. The proportion of smokers was also significantly higher in participants without central obesity than in those with central obesity (87.2 vs. 34.0%, p = <0.001). Smoking correlated negatively and significantly with central obesity in bivariate and partial correlations. In addition, binary logistic regression further confirmed the negative association between smoking and central obesity. Conclusion: The present study shows that in this population, central obesity is determined by gender, unemployment, and marital status.