Women with Schizophrenia over the Life Span: Health Promotion, Treatment and Outcomes
Bibliographic record
Abstract
Women with schizophrenia show sex-specific health needs that differ according to stage of life. The aim of this narrative review is to resolve important questions concerning the treatment of women with schizophrenia at different periods of their life-paying special attention to reproductive and post-reproductive stages. Review results suggest that menstrual cycle-dependent treatments may be a useful option for many women and that recommendations re contraceptive options need always to be part of care provision. The pregnancy and the postpartum periods-while constituting vulnerable time periods for the mother-require special attention to antipsychotic effects on the fetus and neonate. Menopause and aging are further vulnerable times, with extra challenges posed by associated health risks. Pregnancy complications, neurodevelopmental difficulties of offspring, cancer risk and cognitive defects are indirect results of the interplay of hormones and antipsychotic treatment of women over the course of the lifespan. The literature recommends that health promotion strategies need to be directed at lifestyle modifications, prevention of medical comorbidities and increased psychosocial support. Careful monitoring of pharmacological treatment has been shown to be critical during periods of hormonal transition. Not only does treatment of women with schizophrenia often need to be different than that of their male peers, but it also needs to vary over the course of life.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".