Differences in HIV risk factors between South African adolescents and adult women and their association with sexually transmitted infections
Bibliographic record
Abstract
Objectives In sub-Saharan Africa, approximately 86% of HIV infections in adolescents aged 15–19 years occur among girls. Their heightened susceptibility is likely influenced by converging sociobehavioural and biological factors, although the relative contributions remain unclear. To address this, we compared known and hypothesised risk factors for HIV between cisgender adolescent girls and adult women in South Africa and evaluated the relationships between these factors and sexually transmitted infection (STI) status. Methods This cross-sectional observational study included adolescent (n=305; 14–19 years) and adult females (n=114; 25–35 years) in two South African provinces (Western Cape (WC), KwaZulu-Natal (KZN)). Demographic and sociobehavioural data were collected by questionnaire. Colposcopy was conducted to identify cervicovaginal abnormalities, and tests for bacterial vaginosis (BV), Chlamydia trachomatis , Neisseria gonorrhoeae and Trichomonas vaginalis were performed. Results Adults reported higher risk sexual behaviour than adolescents across multiple variables, although adolescents were more likely to have STIs than adults (62.8% vs 34.0%, respectively, p=0.0010 for WC; 42.5% vs 16.4%, respectively, p=0.0002 for KZN). Adolescents did, however, report earlier sexual debut (16 years old vs 17 years old, p<0.0001 for both sites) and KZN adolescents were more likely to use intravaginal sexual enhancers than adults (34.6% vs 20.6%, respectively, p=0.0417). Numbers of sexual partners (β-coefficient: 0.34, SE: 0.12, p=0.0054) and sex acts within the previous 3 months (β-coefficient: 0.25, SE: 0.09, p=0.0062) were associated with STIs in adolescents and trended to significance for adults. Intravaginal sexual enhancer use (KZN only; β-coefficient: 0.95, SE: 0.38, p=0.0118) and biological risk factors, including BV Nugent score (β-coefficient: 0.09, SE: 0.04, p=0.0257) and signs of cervicovaginal injury/inflammation (β-coefficient: 1.07, SE: 0.45, p=0.0171), were associated with STIs in adolescents but not adults. Conclusions Risk factors for STIs including HIV may differ between age groups of girls and women, and mitigation interventions may need to be tailored accordingly.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".