Mental Health Disorders Among Women Victims of Conflict-Related Sexual Violence in the Democratic Republic of Congo
Bibliographic record
Abstract
To assess the effects of sexual violence (SV) in armed conflicts on women's mental health, on its own and in conjunction with reproductive health issues such as fistula or chronic pelvic pain (CPP). A cross-sectional population-based study of 320 women living in Goma, the Democratic Republic of Congo, aged 15 to 45 years, was conducted. Women who experienced conflict-related sexual violence (CRSV) were compared with those who experienced non-conflict-related sexual violence (NCRSV) and those who never experienced such acts. Data were gathered through individual interviews by local staff using standardized questionnaires. The outcomes investigated were post-traumatic stress disorder (PTSD) symptoms severity and psychological distress symptoms (PDS) severity. Experience of SV in either context was associated with more severe PDS (p < .0001). Only CRSV was associated with more severe PTSD symptoms (p < .0001). Women who suffered from fistula or CPP also had a higher PDS score mean (p < .0001 and p = .007) and a higher PTSD symptoms score mean (p < .0001, for both reproductive health issues). Multivariate analyses showed that compared with women who never experienced SV and never suffered from fistula or CPP, those who experienced CRSV and suffered from fistula or CPP had the most severe PDS and PTSD symptoms after adjustment for potential confounders. The differences in PDS and PTSD symptoms severity were all significant (p < .0001). Psychological and physical health care are urgently needed for women who experienced CRSV, particularly those with additional issues of fistula or CPP. Current interventions should simultaneously seek to improve both reproductive and mental health.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".