Antenatal Depression is Not Associated with Low-Birth Weight: A Study from Urban Pakistan
Bibliographic record
Abstract
BACKGROUND: Low-birth weight (LBW) (<2500 g) is considered to be a leading cause of cognitive impairment and physical disabilities in children. Incidence of LBW in South Asia has been reported to be as high as 33%. We investigated the association between antenatal depression and LBW in an urban community, in Karachi, Pakistan. METHODS: A total of 1357 pregnant women in their third trimester were recruited into the study. They were screened for antenatal depression with Edinburgh postnatal depression scale. Self-reporting questionnaire was also used to measure psychological distress. Birth weights of 763 newborns were obtained from the hospital records. RESULTS: We did not find a significant association between antenatal depression and LBW (odds ratio 0.881, 95%CI 0.732-1.060) in mothers attending a charity run hospital in an urban setting in Pakistan. CONCLUSION: Antenatal depression is not associated with LBW in this urban population in Pakistan. However, the prevalence of depression is high during pregnancy. There is a need to develop culturally adapted psychosocial interventions to address the high rates of depression for this population group.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".