Lifetime and Child Sexual Violence, Risk Factors and Mental Health Correlates Among a Nationally Representative Sample of Adolescents and Young Adults in Haiti: A Public Health Emergency
Bibliographic record
Abstract
Very little is known in Haiti and the Caribbean regarding child and lifetime sexual victimization. Using a nationally representative sample of adolescents and young adults aged 15–24, this study aimed to document the prevalence, risk factors and mental health correlates of lifetime and child sexual violence in Haiti. A national cross-sectional surrvey was conducted in Haiti, using a multistage sampling frame, stratified by geographical department, urban or rural setting, gender, and age groups (15–19 and 20–24 years). The final sample included 3586 household participants (47.6% female). A weighted sample of 3945 individuals was obtained and used in the following analyses. Overall rate of lifetime and child sexual violence was, respectively, 27.44% (95% CI 25.94–28.94) and 11.27% (95% CI 10.18–12.35). Lifetime sexual violence rate was significantly higher among female participants (29.02%; 95% CI 27.5–30.55) compared to male (25.73%, 95% CI 24.26–27.2), χ 2 = 4.63, p < .05, but there was no significant gender difference for child sexual victimization. Experiences of family physical violence, emotional abuse by mother and father, divorce of parents, and other physical violence were strongly associated with higher odds of sexual victimization. Participants who reported having experienced sexual violence are more at risk to meet criteria of PTSD (OR = 1.96, 95% CI 1.66–2.32; p < .0001), depression (OR = 1.73, 95% CI 1.47–2.02; p < .0001), psychological distress (OR =1.72, 95% CI 1.47–2.02; p < .0001), and substance abuse (OR = 1.33, 95% CI 1.13–1.57; p < .0001). Findings demonstrate that sexual violence is a public health emergency in Haiti. They provide evidence for the development of prevention and intervention programs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".