A population-based study of the frequency and predictors of induced abortion among women with schizophrenia
Bibliographic record
Abstract
BACKGROUND: Induced abortion is an indicator of access to, and quality of reproductive healthcare, but rates are relatively unknown in women with schizophrenia. AIMS: We examined whether women with schizophrenia experience increased induced abortion compared with those without schizophrenia, and identified factors associated with induced abortion risk. METHOD: In a population-based, repeated cross-sectional study (2011-2013), we compared women with and without schizophrenia in Ontario, Canada on rates of induced abortions per 1000 women and per 1000 live births. We then followed a longitudinal cohort of women with schizophrenia aged 15-44 years (n = 11 149) from 2011, using modified Poisson regression to identify risk factors for induced abortion. RESULTS: Women with schizophrenia had higher abortion rates than those without schizophrenia in all years (15.5-17.5 v. 12.8-13.6 per 1000 women; largest rate ratio, 1.33; 95% CI 1.16-1.54). They also had higher abortion ratios (592-736 v. 321-341 per 1000 live births; largest rate ratio, 2.25; 95% CI 1.96-2.59). Younger age (<25 years; adjusted relative risk (aRR), 1.84; 95% CI 1.39-2.44), multiparity (aRR 2.17, 95% CI 1.66-2.83), comorbid non-psychotic mental illness (aRR 2.15, 95% CI 1.34-3.46) and substance misuse disorders (aRR 1.85, 95% CI 1.47-2.34) were associated with increased abortion risk. CONCLUSIONS: These results demonstrate vulnerability related to reproductive healthcare for women with schizophrenia. Evidence-based interventions to support optimal sexual health, particularly in young women, those with psychiatric and addiction comorbidity, and women who have already had a child, are warranted.
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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 | 0.001 | 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 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".