Association entre violences sexuelles et dysménorrhée : revue systématique de la littérature
Bibliographic record
Abstract
Background: According to the international literature, a history of abuse appears to have significant long-term consequences for both mental and physical health. More specifically, chronic pelvic pain has been identified at increased risk among women who have experienced sexual violence. Among such pain disorders, dysmenorrhea represents a major public health concern, with potentially severe implications for quality of life. Despite the respective morbidities of these conditions, few studies have examined the specific relationship between sexual violence and the risk of dysmenorrhea. The objective was thus to evaluate the existence of an association between sexual violence and dysmenorrhea in the international literature. Methods: A systematic review was conducted using PubMed and Google Scholar databases for studies published up to November 3, 2024. The research protocol was registered on PROSPERO. Observational studies in French or English assessing the statistical association between a history of sexual violence and dysmenorrhea were included. The target population was defined as women of reproductive age across all demographic profiles, including women with endometriosis. Studies exploring histories of sexual violence, regardless of the age at which they occurred, were considered, using a broad definition of such violence. The primary outcome was dysmenorrhea, assessed through several measures: presence, severity, or frequency. Methodological quality was assessed using the Newcastle-Ottawa Scale for observational studies. Results: Of the 362 studies initially identified, 8 were included in the final review. Five studies (62.5%) reported significant results supporting an association between sexual violence and the presence or severity of dysmenorrhea. Abuse occurring during childhood appeared to confer particularly high risk. Certain factors seemed likely to interfere with the statistical relationship, notably psychiatric comorbidities, which may play a mediating role. Conclusion: These findings suggest that women who have experienced sexual violence, particularly in childhood, may be at increased risk of developing dysmenorrhea, especially of greater severity. Further research, particularly high-quality longitudinal studies, is needed to explore this relationship and address a genuine public health issue.
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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 | 0.027 | 0.075 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.009 |
| Bibliometrics | 0.028 | 0.025 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".