Chronic Medical Conditions and Peripartum Mental Illness: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
The objective of this systematic review and meta-analysis was to examine the association between maternal chronic medical conditions (CMCs) and peripartum mental illness. MEDLINE, Embase, CINAHL, and PsycINFO were searched to September 2017. Data were extracted and quality was assessed using standardized instruments. We generated unadjusted and adjusted pooled odds ratios and 95% confidence intervals using DerSimonian and Laird random effects models. The review included 16 papers representing 12 studies and 1,626,260 women. CMCs overall were associated with peripartum mental illness overall (adjusted pooled odds ratios (aPOR) = 1.43, 95% confidence interval (CI): 1.25, 1.63). CMCs overall were associated with antepartum (aPOR = 1.41, 95% CI: 1.10, 1.81) and postpartum mental illness separately (aPOR = 1.44, 95% CI: 1.13, 1.85) and with peripartum depression (aPOR = 1.45, 95% CI: 1.25, 1.67) and anxiety separately (aPOR = 1.63, 95% CI: 1.35, 1.95). No studies examined bipolar or psychotic disorders. Diabetes (aPOR = 1.34, 95% CI: 1.07, 1.69), hypertension/heart disease (aPOR = 1.60, 95% CI: 1.05, 2.45), migraine (aPOR = 1.75, 95% CI: 1.20, 2.54), and other neurological disorders (aPOR = 1.45, 95% CI: 1.19, 1.77), but not asthma, were each associated with peripartum mental illness. Findings suggest that mental health resources should be integrated in medical settings where pregnant and postpartum women with CMCs are treated.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.018 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".