Fistula and Other Adverse Reproductive Health Outcomes among Women Victims of Conflict‐Related Sexual Violence: A Population‐Based Cross‐Sectional Study
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Bibliographic record
Abstract
BACKGROUND: Sexual violence (SV) is being used widely as a weapon of war. However, few studies have investigated its health effects. The objective of the present study is to investigate the relationship between sexual violence and several serious reproductive health conditions including fistula. METHODS: We conducted a cross-sectional study among 320 women living in Goma, the Democratic Republic of Congo. We assessed the association of four outcomes: fistula, chronic pelvic pain, desire for sex, and desire for children, with SV in two contexts: conflict-related and nonconflict-related. Two groups of women: those who experienced conflict-related sexual violence (CRSV) and those who experienced nonconflict-related sexual violence (NCRSV), were compared with women who had not experienced SV. Data were collected by trained interviewers using a standard questionnaire. RESULTS: Compared with women who did not experience SV, after adjustment for potential confounders, women who experienced CRSV were significantly more likely to have fistula (OR = 11.1, 95% CI [3.1-39.3]), chronic pelvic pain (OR = 5.1, 95% CI [2.4-10.9]), and absence of desire for sex (OR = 3.5, 95% CI [1.7-6.9]) and children (OR = 3.5, 95% CI [1.6-7.8]). Women who experienced NCRSV were more likely to report absence of desire for children (OR = 2.7, 95% CI [1.1-6.5]), and seemed more likely to report chronic pelvic pain (OR = 2.3, 95% CI [0.95-5.8]), although the difference was not statistically significant. Women who experienced NCRSV did not have higher odds for fistula and absence of sexual desire. CONCLUSION: Conflict-related sexual violence can contribute to women's adverse reproductive health outcomes. Its impact is more devastating than that of NCRSV.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it