The prevalence and correlates of childhood sexual abuse in a national sample of Canadian women
Bibliographic record
Abstract
This study examined the prevalence and correlates of childhood sexual abuse (CSA) among a large nationally representative sample of Canadian women (age 20-64). Among the 7,862 women age 20 through 64 who participated in the Canadian Community Health Survey of Mental Health (CCHS-MH; Statistics Canada, 2013), 1027 (13.01%) reported a history of CSA prior to age 16. Data associated with 2,054 participants were extracted from the Canadian Community Health Survey of Mental Health (CCHS-MH; Statistics Canada, 2013) and further analyzed. Women who reported a history of CSA were significantly more likely to meet diagnostic criteria (lifetime and 12-month) for all psychiatric disorders examined in the present analysis including major depressive disorder, general anxiety disorder, substance and alcohol use disorders, and bipolar disorder compared to an age-matched sample of women without a CSA history. Lifetime and 12-month suicidal ideation were also significantly higher among those women with a CSA history, along with prevalence of a prior PTSD diagnosis. Significantly poorer outcomes were observed for those women with a CSA history across all socio-demographic (marital status, level of education, personal income) and quality of life (community belonging, self-rated mental health, life satisfaction) variables included in the present analysis. Findings were discussed within the context of existing research on the prevalence and correlates of CSA internationally and within Canada.
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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 | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".