The Association between Cesarean Section Delivery and Child Behavior: Is It Mediated by Maternal Post-Traumatic Stress Disorder and Maternal Postpartum Depression?
Bibliographic record
Abstract
Cesarean sections (C-sections) account for up to 21% of births worldwide. Studies have linked delivery via C-section with an increased risk of child behavior problems, such as internalizing and externalizing behaviors. Maternal postpartum depression (PPD) is also linked to child behavioral problems and may play a mediating role in the association between the mode of delivery and child behavior. Mixed findings between mode of delivery and PPD may be due to a failure to distinguish between C-section types, as unplanned/emergency C-sections are linked to post-traumatic stress disorder (PTSD), which has been linked to PPD. The objectives of this study were to determine whether, (1) compared with spontaneous vaginal delivery (SVD) and planned C-section, unplanned/emergency C-sections are associated with increased child behavior problems at two to three years of age and (2) maternal PTSD and PPD mediate the association between delivery type and child behavior problems. A secondary data analysis was conducted on 938 mother-child dyads enrolled in the Alberta Pregnancy Outcomes and Nutrition (APrON) study. Conditional process modeling was employed. Child behavior was assessed using the Child Behavior Checklist (CBCL) 1.5-5 years, and maternal PPD and PTSD were assessed using the Edinburgh Postnatal Depression Scale (EPDS) and the Psychiatric Diagnostic Screening Questionnaire (PDSQ), respectively. No associations were found between delivery type and child behaviors; however, the indirect effect of emergency C-section on child behaviors was significant via the mediating pathway of maternal PTSD on PPD symptoms.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".