Intimate partner violence and posttraumatic stress disorder among adolescents and young adults in Haiti
Bibliographic record
Abstract
Although the high prevalence of intimate partner violence (IPV) in Haiti is well-documented, its association with post-traumatic stress disorder (PTSD) symptoms among adolescents and young adults remains unexplored. Using a representative sample of adolescents and young adults from rural and urban areas across the 10 geographical regions of Haiti, this study investigates the association between IPV and PTSD symptoms. It explores the role of social support, emotion regulation, other traumatic events, and sociodemographic factors. The sample consisted of 3,586 participants, of whom 43.21% (1,538) reported being in a dating relationship in the past year (56.04% women). Overall, 25.53% of the participants were categorized as having probable PTSD. Results showed that participants who experienced at least one episode of IPV victimization presented a higher prevalence of PTSD (32.28%) compared to those who did not have any experience (16.29%), χ2 (1) = 44.83, p < .001. The logistic regression model showed that emotional IPV, sexual IPV, traumatic life events, emotional dysregulation, and social support were associated with PTSD symptoms. This study highlights a strong association between IPV and PTSD symptoms, as well as factors that can contribute to the development and implementation of prevention and intervention programs among adolescents and young adults in Haiti.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.001 |
| 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".