Prevalence of Abuse in Women with Endometriosis and Relationship to Pain Symptoms: A Cross-Sectional Questionnaire Study
Bibliographic record
Abstract
Abstract Background Sexual and physical abuse are associated with endometriosis, but their relationship to pain in endometriosis patients has not been studied. The aim of this study was to characterize the prevalence of sexual and physical abuse history in an endometriosis population and its relationship to severity and type of pain symptoms. Methods This was a cross-sectional questionnaire study conducted from May 2017 to May 2018 at a tertiary care gynecology clinic. Women with clinically suspected or surgically confirmed endometriosis were included. Patients completed the Endometriosis Phenome and Biobanking Harmonization Project (EPHect) Clinical Questionnaire, the International Pelvic Pain Society Pelvic Pain Assessment Form, and the Medical Outcome Survey (SF-36). Relationships between history of sexual abuse or physical abuse, pelvic pain type and severity, anxiety/depression diagnosis, quality of life, and demographics were analysed using Chi square, independent t-tests, Mann-Whitney U test, and logistic regression models. Results Forty-four women were surveyed. Severity and type of pain symptoms were similar in patients with and without a history of sexual or physical abuse. Forty-three percent (n = 19) of patients with endometriosis reported history of physical abuse and 43% (n = 19) reported history of sexual abuse with a 68% overlap between both groups. Patients with a history of sexual abuse had significantly higher rates of depression (53% vs 16%; p = 0.012) and anxiety (58% vs 12%; p = 0.001) than those reporting no history of sexual abuse and reported significantly lower mean SF-36 mental component summary scores (34 ± 14 vs 42 ± 12, p = 0.028). Conclusions No differences in severity and type of pain symptoms in patients with a history of sexual or physical abuse were observed compared to those without. More than 40% (n = 19) of patients with endometriosis reported a history of sexual abuse, with more anxiety and depression and lower mental quality of life scores compared to patients who reported no history of sexual abuse. This highlights the need for sexual abuse and mental health screening in an endometriosis population.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".