Infant sex, family support and postpartum depression in a Chinese cohort
Bibliographic record
Abstract
OBJECTIVES: To assess the impact of prenatal and postnatal family support on the association between infant sex and postpartum depression (PPD). DESIGN: Prospective cohort study. SETTING: Pregnant women seen at Hunan Maternal and Infant Hospital, the First Affiliated and the Third Affiliated Hospitals of the Central South University in Changsha, Hunan, People's Republic of China from February to September 2007. PARTICIPANTS: 534 Pregnant women who were consecutively recruited from the participating hospital during their prenatal visits at 30-32 weeks of gestation and who completed the 2 weeks postpartum survey, with no recorded major psychiatric disorders and obstetric and/or pregnancy complications. MAIN OUTCOME MEASURE: PPD, which was defined as a score of 13 or higher of the Edinburgh Postnatal Depression Scale. RESULTS: Postnatal family support scores were much lower in women who gave birth to a female infant, and the OR of PPD was 3.67 (95% CI 2.31 to 5.84) for them as compared to women who gave birth to a male infant. After adjusting by postnatal support from all family members, husband and parents, the ORs of PPD for women who gave birth to a female infant decreased to 2.06 (95% CI 1.20 to 3.53), 2.89 (95% CI 1.76 to 4.77) and 2.20 (95% CI 1.28 to 3.77), respectively. DISCUSSION: Increased risk of PPD in Chinese women who gave birth to a female infant can be explained to large extent by inadequate or poor postpartum support from family members, particularly husband and parents.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".