Association of Childbirth Pain with Postnatal Depressive and Anxiety Disorders in Nulliparous Parturients: A Prospective Study
Bibliographic record
Abstract
PURPOSE: There is limited knowledge on the relationship between postnatal depression and childbirth pain characteristics associated with childbirth. We investigated whether the characteristics of childbirth pain, as assessed by Short-form-McGill Pain Questionnaire-2 (SF-MPQ-2), were associated with postnatal anxiety and depressive disorders. PATIENTS AND METHODS: Nulliparous parturients who received labor epidural analgesia (LEA) and delivered in our institution were invited to have a Mini-International Neuropsychiatric Interview (MINI) assessment following their 5-9 weeks post-delivery follow-up phone survey of a larger study. Parturients' demographics, pre-delivery questionnaires on pain and psychological vulnerabilities, LEA data, maternal and neonatal outcomes, postnatal follow-up survey on pain and psychological vulnerabilities, pain and breastfeeding were collected accordingly. The primary outcome was the binary variable (yes/no) of the presence of postnatal depression and/or anxiety disorders based on the post-delivery MINI assessment. RESULTS: Among the 107 parturients who participated in the post-delivery MINI assessment, a total of 40 (42.5%) patients were found to have postnatal anxiety and depressive disorders. A greater pre-delivery SF-MPQ-2 neuropathic pain mean subscale score (adjusted odds ratio (OR) 1.32, 95% CI 1.00-1.73, p=0.0482) and greater post-delivery Edinburgh Postnatal Depression Scale (EPDS) at 5-9 weeks post-delivery (adjusted OR 1.30, 95% CI 1.13-1.50, p=0.0002) were independently associated with the presence of postnatal anxiety and/or depressive disorders (receiver operating characteristic (ROC) = 0.7489). CONCLUSION: Patients with greater pre-delivery neuropathic pain and higher EPDS scores at 5-9 weeks post-delivery are more likely to have postnatal depression and/or anxiety disorders, suggesting possible associations between pain and psychological vulnerability in the development of postnatal mental disorders.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".