Paid work, domestic work, and other determinants of pregnancy outcome in Ibadan, southwest Nigeria
Bibliographic record
Abstract
OBJECTIVE: To identify the determinants of low birth weight (LBW), preterm birth, and stillbirth, and the factors associated with paid or domestic work that affected pregnancy outcome in Ibadan, Nigeria. METHODS: A cross-sectional study of women who delivered live or stillborn singleton neonates at 4 hospitals between February and June 2008. Participants were interviewed to obtain information on paid and domestic work activities during pregnancy, as well as obstetric history. Pregnancy outcomes and other clinical data were extracted from case notes. RESULTS: A total of 1504 mothers aged 20-45 years recorded 137 (9.1%) LBW neonates (<2.5 kg), 154 (10.2%) preterm deliveries (<37 weeks), and 56 (3.7%) stillbirths. There was no overall increased risk of these outcomes among working mothers. Multivariate logistic regression analysis of working mothers who had booked their deliveries revealed that lifting heavy objects at home, a clinical record of proteinuria, and hospital admission during pregnancy were associated with LBW. Predictors for preterm birth were self-reported exposure to vibration at work, nulliparity, history of preterm birth, 4 or fewer compared with more than 8 antenatal visits, and prolonged rupture of membranes. Predictors for stillbirth were low education and prolonged rupture of membranes. CONCLUSION: The results further support recommendations that physical exertion in paid and domestic work should be reduced during pregnancy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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".