Key normative, legal, and policy considerations for supporting pregnant and postpartum adolescents in high HIV-burden settings: a critical analysis.

Rates of adolescent pregnancy within sub-Saharan Africa are increasing. Adolescent mothers ages 10-19 years face a distinct set of risks to their own and their children's health, compounded by many economic, social, and epidemiological challenges, such as living with HIV. In navigating this complex developmental period, many adolescent mothers face structural barriers impeding safe transitions to adulthood and motherhood. Drawing on existing literature and emerging data, we outline three normative, legal, and policy issues - violence and gender inequity, access to sexual and reproductive health services, and access to social and structural supports - which affect the health, wellbeing and development of adolescent mothers and their children. We also highlight emergent evidence about programming and policy changes that can better support adolescent mothers and their children. These key proposed responses include removing barriers to SRH and HIV service integration; ensuring implementation of return-to-school policies; and extending social protection systems to cater for adolescent mothers. Despite ongoing global crises and shifts in funding priorities, these normative, legal, and policy considerations remain critical to safeguard the health and wellbeing of adolescent mothers and their children.

Mode of HIV acquisition among adolescents living with HIV in resource-limited settings: A data-driven approach from South Africa.

Adolescents living with HIV (ALHIV) face unique treatment and care challenges which may differ by how they acquired HIV, whether vertically (in-utero, perinatal or postnatal exposure during breastfeeding) or sexually (sexual exposure). Distinguishing and documenting the mode of HIV acquisition (MOHA) is crucial to further research on the different needs and outcomes for ALHIV and to tailor HIV services to their needs. Age-based cut-offs have been used to attribute MOHA but have not been validated. We analysed data from a three-wave cohort of n = 1107 ALHIV part of a longitudinal study in South Africa. Age-based MOHA was allocated using age at ART initiation, validated against a logic-tree model based on literature-hypothesised factors: self-reported HIV, sexual, and family history. After testing six ART initiation age cut-offs (10 to 15 years old), we determined the optimal MOHA cut-off age by calculating the sensitivity and specificity for each cut-off, measured against the final logic-tree allocation. Following validation using this longitudinal study, the methodology is extended to 214 additional third-wave participants-adolescent girls and young women living with HIV who became mothers before the age of 20. Finally, descriptive statistics of the final allocations are presented. Among the 1,063 (96.0%) cohort study participants classified, 68.7% acquired HIV vertically, following validation. ART initiation before cut-off age 10 had the highest sensitivity (58.9%) but cut-off age 12 had the largest area under the curve (AUC) (0.712). Among the additional young mothers living with HIV, 95.3% were estimated to have acquired it sexually, following the same algorithm. For this group, while cut-off ages 10 to 12 had the highest sensitivity (92.2%), age 14 had the highest AUC (0.703). ART initiation before 10 years old is strongly associated with vertical HIV acquisition. Therefore, a cut-off age of 10 would remain the recommendation in LMIC regions with similar epidemiology as South Africa for determining MOHA in research and clinic settings.

The development of children born to young mothers with no, first- or second-generation HIV acquisition in the Eastern Cape province, South Africa: a cross-sectional study.

BACKGROUND: The intergenerational effects of HIV require long-term investigation. We compared developmental outcomes of different generations impacted by HIV-children of mothers not living with HIV, the 'second generation' (ie, with recently infected mothers) and the 'third generation' (ie, children of perinatally infected mothers). METHODS: A cross-sectional community sample of N=1015 young mothers (12-25 years) and their first children (2-68 months, 48.2% female), from South Africa's Eastern Cape Province. 71.3% (n=724) of children were born to mothers not living with HIV; 2.7% (n=27; 1 living with HIV) were third-generation and 26.0% (n=264; 11 living with HIV) second-generation children. Child scores on the Mullen Scales of Early Learning (MSEL), the WHO Ten Questions Screen for Disability and maternal demographics were compared between groups using χ2 tests and univariate approach, analysis of variance analysis. Hierarchical linear regressions investigated predictive effects of familial HIV infection patterns on child MSEL composite scores, controlling for demographic and family environment variables. RESULTS: Second-generation children performed poorer on gross (M=47.0, SD=13.1) and fine motor functioning (M=41.4, SD=15.2) and the MSEL composite score (M=90.6, SD=23.0) than children with non-infected mothers (gross motor: M=50.4, SD=12.3; fine motor: M=44.4, SD=14.1; composite score: M=94.1, SD=20.7). The third generation performed at similar levels to non-exposed children (gross motor: M=52.4, SD=16.1; fine motor: M=44.3, SD=16.1, composite score: M=94.7, SD=22.2), though analyses were underpowered for definite conclusions. Hierarchical regression analyses suggest marginal predictive effects of being second-generation child compared with having a mother not living with HIV (B=-3.3, 95% CI=-6.8 to 0 .1) on MSEL total scores, and non-significant predictive effects of being a third-generation child (B=1.1, 5% CI=-7.5 to 9.7) when controlling for covariates. No group differences were found for disability rates (26.9% third generation, 27.7% second generation, 26.2% non-exposed; χ2=0.02, p=0.90). CONCLUSION: Recently infected mothers and their children may struggle due to the disruptiveness of new HIV diagnoses and incomplete access to care/support during pregnancy and early motherhood. Long-standing familial HIV infection may facilitate care pathways and coping, explaining similar cognitive development among not exposed and third-generation children. Targeted intervention and fast-tracking into services may improve maternal mental health and socioeconomic support.

Women's Economic Contribution, Relationship Status and Risky Sexual Behaviours: A Cross-Sectional Analysis from a Microfinance-Plus Programme in Rural South Africa.

In sub-Saharan Africa, women bear a disproportionate burden of HIV/AIDS while also facing economic and gender inequalities. To explore the association of women's economic contribution and relationship status with risky sexual behaviour, this study analysed cross-sectional data from 626 women aged 22 to 84 in rural South Africa. All women were enrolled in a microfinance plus gender training programme (Intervention with Microfinance for AIDS and Gender Equity (IMAGE)). We used univariable and multivariable logistic regression to explore the associations of relationship status and women's household income contribution with inconsistent condom use, multiple sexual partners and transactional sex, respectively. We found that married, older women had the highest odds of inconsistent condom use, while those contributing all the household income had higher odds of multiple sexual partnerships, but lower odds of transactional sex compared to those with no contribution. Income contribution and relationship status have a nuanced relationship with sexual risk behaviours. Thus, economic strengthening interventions should target relevant vulnerable women while also addressing the broader social and economic drivers of risky sexual behaviour.

Disinfectant, Soap or Probiotic Cleaning? Surface Microbiome Diversity and Biofilm Competitive Exclusion.

This study extends probiotic cleaning research to a built environment. Through an eight-month cleaning trial, we compared the effect of three cleaning products (disinfectant, plain soap, and a probiotic cleaner containing a patented Bacillus spore consortium), and tap water as the control, on the resident microbiome of three common hospital surfaces (linoleum, ceramic, and stainless steel). Pathogens, Escherichia coli and Staphylococcus aureus, were deposited and desiccated, and competitive exclusion was assessed for each microbiome. Cell survival was shown to be an incomplete tool for measuring microbial competitive exclusion. Biofilm competition offered a fuller understanding of competitive dynamics. A test for culturable cell survival showed that both plain soap and probiotic cleaner regimes established a surface microbiome that outcompeted the two pathogens. A different picture emerged when observing biofilms with a deposited and desiccated GFP-labeled pathogen, Pseudomonas aeruginosa. Competitive exclusion was again demonstrated. On surfaces cleaned with disinfectant the pathogen outcompeted the microbiomes. On surfaces cleaned with plain soap, the microbiomes outcompeted the pathogen. However, on surfaces cleaned with probiotic cleaner, despite the exponentially higher surface microbial loads, the microbiome did not completely outcompete the pathogen. Thus, the standard culturable cell test for survival on a surface confirmed the competitive advantage that is typically reported for probiotic cleaners. However, observation of competition in biofilms showed that the more diverse microbiome (according to alpha and beta indices) established on a surface cleaned with plain soap had a better competitive advantage than the monoculture established by the probiotic cleaner. Therefore, microbial diversity appears to be as critical to the competitive exclusion principle as cell numbers. The study showed that both plain soap and probiotic cleaner fostered competitive exclusion far more effectively than disinfectant. Probiotic cleaners with microbial diversity could be worth considering for hospital cleaning.