Administration of epidural labor analgesia is not associated with a decreased risk of postpartum depression in an urban Canadian population of mothers: a secondary analysis of prospective cohort data
Bibliographic record
Abstract
BACKGROUND: Postpartum depression (PPD) is a common complication of pregnancy, affecting approximately 13% of mothers internationally. Previous research has examined whether epidural analgesia used for pain control during labor and birth is associated with a lower risk of PPD, but reports conflicting results and may have suffered from methodological shortcomings. Our study aimed to prospectively assess whether epidural analgesia is associated with a lower risk of PPD (at either 6 weeks or 6 months postpartum) after attempting to adequately adjust for selection bias and confounding variables. METHODS: We conducted a secondary analysis of a prospective cohort of urban Canadian mothers who were recruited at birth in Calgary, Canada, in 2010, for a primary study on predictors of PPD. Mothers with full-term, singleton infants who did not require neonatal intensive care unit admission of >24 hours were included, and filled out questionnaires at birth, 6 weeks and 6 months postpartum including demographics, birth data, maternal and infant physical health, lifestyle, breastfeeding and maternal mental health. Descriptive statistics were calculated for participant characteristics and to identify potential confounder variables. Multivariable logistic regression analysis was conducted to assess whether epidural analgesia is associated with PPD after controlling for available confounding variables. RESULTS: Our study included 206 mothers who had vaginal deliveries and were free of depression at delivery. We found an incidence of PPD of 13.3% (n=27) and no statistically significant association between epidural use and PPD, regardless of adjustment for potential confounding variables (unadjusted odds ratio [OR] 0.86, 95% confidence interval [CI] 0.69-1.22; adjusted OR (for body mass index 1.04, 95% CI 0.40-2.77). CONCLUSION: We did not observe a significant association between epidural use and PPD. While the CIs are wide, we do not believe that this masks a clinically relevant association, and as such, the risks and benefits of epidural analgesia communicated to women during labor and delivery should not be modified.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| 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".