Exploring a syndemic of poverty, cumulative violence, and HIV vulnerability among refugee youth: multi-method insights from a humanitarian setting in Uganda
Bibliographic record
Abstract
Synergistic associations between social inequities and HIV vulnerabilities – known as a syndemic – are understudied with youth in humanitarian settings. We explored refugee youths’ HIV prevention needs in Bidi Bidi Refugee Settlement, Uganda. This multi-methods study involved 6 focus groups and 12 in-depth individual interviews (IDI) with refugee youth (n = 60) aged 16–24, and IDI with refugee elders (n = 8) and healthcare providers (n = 8). We then conducted cross-sectional surveys with refugee youth (16–24 years) (n = 115) to assess: poverty, recent sexual and gender-based violence (SGBV), and condom engagement motivation (CEM) (wanting to learn about condoms for HIV prevention). Multivariable logistic regression was used to estimate adjusted odds ratios for associations between poverty and SGBV with CEM. Qualitative narratives revealed poverty and trauma elevated substance use, and these converged to exacerbate SGBV. SGBV and transactional sex increased HIV vulnerabilities. Among survey participants, poverty and recent SGBV were associated with reduced odds of CEM. The interaction between poverty and recent SGBV was significant: the predicted probability of CEM among youth who experienced both poverty and SGBV was almost half than among youth who experienced poverty alone, SGBV alone, or neither. Findings signal the confluence of poverty, violence, and substance use elevate refugee youth HIV vulnerabilities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".