Qualitative interviews with mentor mothers living with HIV: potential impacts of role and coping strategies.

IntroductionIn South Africa where HIV prevalence is high, mentor mother programmes have been used to promote the health and wellbeing of women enrolled in government programmes preventing vertical transmission. The Masihambisane Project trained mentors to be educators and facilitators as "expert patients" in self-help groups. While this and other similar interventions demonstrate positive outcomes for mothers and their children, the long-term repercussions for mentors delivering the intervention are seldom considered. This article explores the personal impact of being a mentor, the potentially traumatizing effects of repeatedly sharing their experiences of living with HIV and the coping strategies they adopt.ResultsTowards the end of the Masihambisane intervention, 10 semi-structured qualitative interviews were conducted with locally recruited mentors living with HIV and were thematically analysed. Mentors found the repeated telling of their stories a painful reminder of adverse personal experiences. In some cases, retelling caused a physical reaction. Mentors relied on coping strategies like taking breaks, writing their experiences down and debriefing sessions. Despite the difficulties associated with their role, some mentors found being advisors and the group sessions therapeutic and empowering.ConclusionsThese findings indicate that the inclusion of peer mentors comes with certain responsibilities. While the mentors were resilient and some found the experience therapeutic and empowering found creative ways to cope with secondary trauma, the negative implications cannot be ignored. To effectively deliver a mentor-driven intervention to mothers enrolled in a programme to prevent vertical transmission, the possibilities of secondary trauma should be considered and mentors provided with ongoing counselling, training on coping skills and regular debriefing sessions

The dynamics of sexual risk amongst South African youth in age-disparate relationships

IntroductionSouth Africa has the highest burden of HIV in the world with over 8 million people living with HIV. Young women and girls account for a quarter of new HIV infections while making up only 10% of the population. A key driver of HIV incidence is transactional and survival sex between adolescent girls or young women and older men (the latter referred to as ‘sugar-daddies’ or ‘blessers’). This paper expands on the existing literature on age-disparate and intergenerational relationships to provide social and behavioural interpretations of how young men, commonly omitted from studies on this topic, and women in concurrent relationships with both their peers and older partners perceive and navigate sexual risk.MethodWe conducted a qualitative study in a rural setting of uMgungundlovu District, KwaZulu-Natal Province, with purposively selected male and female participants aged 18–24 years old in age-disparate relationships. Semi-structured in-depth interviews (IDI) were conducted and analysed using interpretative phenomenological analysis (IPA) to explore existing information, motivations, and behavioural practices around relationships and sexual risk.ResultsThe themes and related sub-themes found through IPA included the following: (1) navigating dating: narratives that show a strong preference for being in an age-disparate relationship; the challenges that young people face when choosing an older person as a side partner; and social media applications seen as creating opportunities to meet side partners; and (2) the distribution of love and trust in a multi-party sexual network: condom (mis)use differentiates between straights—those in a serious relationship—and sides; and the power of eye-test seroguessing, the praxis of testing people visually for HIV in nullifying existing knowledge about sexual and reproductive health risk.DiscussionThis research offers an understanding of how schemas of non-condom use are organised. We observed that while condom-less sex is often viewed as essential to building social capital in a serious relationship, it is not the only factor that determines sexual relationship power. Eye-test seroguessing not only develops consortium (trust, reciprocity, and solidarity), but it fulfils the psycho-social need to belong to a network of serious relationships. Moreover, it is critical to the enactment of masculinities because it consolidates femininity to keep men happy, i.e., by being passive in the sexual encounter, women constrain their self-efficacy to act contrary to the conventions of reputable women. Therefore, it is plausible that in the serosorting that occurs prior to unprotected sexual acts, the power of eye-test seroguessing limits the ability to engage in safe sexual practices

Characteristics of sexually experienced HIV testers aged 18 to 32 in rural South Africa: baseline results from a community-based trial, NIMH Project Accept (HPTN 043)

BACKGROUND: Young people in South Africa are at high risk of HIV infection and yet may have more limited access to prevention and treatment services than others in the population. Testing facilitates the sharing of prevention messages but also enables the linkage to care and treatment of those who test positive and therefore has wider public health implications.METHODS: This baseline survey conducted in 2005 for a community randomized trial in rural KwaZulu-Natal explored factors associated with a history of ever, repeat and recent testing amongst sexually debuted men and women aged 18 to 32 years.RESULTS: Over 35% of this rural population ever tested for HIV, with men less likely to ever (unadjusted OR 0.26, 95% CI: 0.21-0.32) and repeatedly test than women (adjusted OR (aOR) 0.68, 95% CI: 0.48-0.97). Men aged 24-28 years (aOR 2.02, 95% CI: 1.10-3.71) and 29-32 years (aOR 2.69, 95% CI: 1.46-4.94) were more likely to ever test than those <20 years. Those who reported having discussed HIV with others had significantly greater odds of reporting ever (men's aOR 2.83, 95% CI: 1.63-4.89; women's aOR 3.36, 95% CI: 2.50-4.53), recent (irrespective of sex, aOR 2.87, 95% CI: 2.02-4.09) and repeat testing (aOR 2.02, 95% CI: 1.28-3.19).CONCLUSION: These findings highlight the need for novel youth- and men-friendly testing services and emphasises the importance of discussions about HIV in the home and community to encourage testing

Hacking Early Childhood: How will digital technologies change early childhood, and what do we all need to do about it?

Meeting Report: based on interdisciplinary human-centred design workshops. Durban, South Africa & Newcastle upon Tyne, United Kingdom, May-June 202

Feasibility and acceptability of continuous at-home glucose monitoring during pregnancy: a mixed-methods pilot study

Background: Continuous monitoring of glucose (CGM) via subcutaneous patch is an accurate self-monitoring tool of blood glucose, but also introduces a range of additional benefits such as real-time feedback. While its value among pregnant women with gestational diabetes mellitus (GDM) is established in high-income countries, little is known about the feasibility and acceptability among pregnant women without GDM in low-resource settings in low- and middle-income countries. Objectives: This study aims to assess the feasibility and acceptability of CGM with pregnant mothers in South Africa and to explore the value of a collected data set for GDM prevention. Methods: Ten women between 12 and 18 weeks pregnant were recruited from the antenatal clinic at Chris Hani Baragwanath Academic Hospital into a prospective mixed-methods pilot study. Demographic and anthropometric data, HbA1c and a lipid panel were collected. Women then wore two consecutive Freestyle Libre 2 patches for a total of 28 days. In-depth interviews were undertaken with all 10 women on study exit to explore themes of acceptability and the use of technology during pregnancy. Thematic analysis was performed on the qualitative data while exploratory data-analysis techniques were applied to the CGM data. Results: Pregnant women (n = 10) had a mean (SD) age of 29.81 years (4.39), with most being unemployed (8), unmarried (8) and without a tertiary degree (7). Analysis suggests that fear of use was greater than the actual discomfort experienced during use of the CGM patch. The main barrier to use was the patch falling off and women being uncomfortable to reapply it. This was borne out by all 10 women wearing the first patch for at least 12 of the 14 days, but only 4 managing the same with patch two–primarily applied by themselves at home. Women expressed support for the use of technology during pregnancy, especially as it related to feeling that their pregnancy was being monitored and that they were being supported. Conclusion: In this pilot study, women overwhelmingly found the wearing of a CGM patch during pregnancy to be acceptable. Feasibility was reasonable with most data being successfully retrieved from the devices over a two-week period. Longer use was found to have additional challenges. The use of CGM patches appear to be a possible candidate for inclusion in GDM prevention or behavioural interventions during pregnancy in South Africa

Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study with a Cohort Group in South Africa

This study aims to explore the potential of Internet of Things (IoT) devices and explainable Artificial Intelligence (AI) techniques in predicting biomarker values associated with GDM when measured 13 - 16 weeks prior to diagnosis. We developed a system that forecasts biomarkers such as LDL, HDL, triglycerides, cholesterol, HbA1c, and results from the Oral Glucose Tolerance Test (OGTT) including fasting glucose, 1-hour, and 2-hour post- load glucose values. These biomarker values are predicted based on sensory measurements collected around week 12 of pregnancy, including continuous glucose levels, short physical movement recordings, and medical background information. To the best of our knowledge, this is the first study to forecast GDM-associated biomarker values 13 to 16 weeks prior to the GDM screening test, using continuous glucose monitoring devices, a wristband for activity detection, and medical background data. We applied machine learning models, specifically Decision Tree and Random Forest Regressors, along with Coupled-Matrix Tensor Factorisation (CMTF) and Elastic Net techniques, examining all possible combinations of these methods across different data modalities. The results demonstrated good performance for most biomarkers. On average, the models achieved Mean Squared Error (MSE) between 0.29 and 0.42 and Mean Absolute Error (MAE) between 0.23 and 0.45 for biomarkers like HDL, LDL, cholesterol, and HbA1c. For the OGTT glucose values, the average MSE ranged from 0.95 to 2.44, and the average MAE ranged from 0.72 to 0.91. Additionally, the utilisation of CMTF with Alternating Least Squares technique yielded slightly better results (0.16 MSE and 0.07 MAE on average) compared to the well-known Elastic Net feature se- lection technique. While our study was conducted with a limited cohort in South Africa, our findings offer promising indications regarding the potential for predicting biomarker values in pregnant women through the integration of wearable devices and medical background data in the analysis. Nevertheless, further validation on a larger, more diverse cohort is imperative to substantiate these encouraging results

Understanding the Relationship between Socio-Economic Status, Physical Activity and Sedentary Behaviour, and Adiposity in Young Adult South African Women Using Structural Equation Modelling.

Socio-economic status (SES) is an important predictor of obesity, but how it is associated with differences in physical activity and sedentary behaviour is less clear. This cross-sectional study examined the association between SES (sum of household assets), physical activity and sedentary time, and how they predict adiposity. Socio-demographic, anthropometric, and physical activity data on rural (n = 509) and urban (n = 510) South African women (18-23 years) were collected. Overweight and obesity prevalence, and sedentary time, were higher; and moderate-vigorous intensity physical activity (MVPA) was lower, in the urban sample. Structural equation models (SEMs) were constructed for BMI and waist circumference. In the urban sample SES had a direct inverse effect on MVPA (ß; 95% CI, -41.69; -73.40 to -9.98), while in the rural sample SES had a direct effect on BMI (ß; 95% CI, 0.306; 0.03 to 0.59). In the pooled sample, SES had a direct inverse effect on MVPA (ß; 95% CI, -144; -170.34 to -119.04), and MVPA was directly associated with BMI (ß; 95% CI, 0.04; 0.01 to 0.08). The influence of SES, and the role of physical activity and sedentary time on adiposity differs between the urban and rural samples, and the importance of other environmental and behavioural factors must be considered in the development of obesity and the design of effective interventions