Paternal education and adverse birth outcomes in Canada
Bibliographic record
Abstract
BACKGROUND: Research on predictors of adverse birth outcomes has focused on maternal characteristics. Much less is known about the role of paternal factors. Paternal education is an important socioeconomic marker that may predict birth outcomes over and above maternal socioeconomic indicators. METHODS: Using data from the 2006 Canadian Birth-Census Cohort, we estimated the associations between paternal education and preterm birth, small-for-gestational-age (SGA) birth, stillbirth and infant mortality in Canada, controlling for maternal characteristics. Binomial regression was used to estimate risk ratios and risk differences for adverse birth outcomes associated with paternal education, after controlling for maternal education, age, marital status, parity, ethnicity and nativity. RESULTS: A total of 131 285 singleton births were included in the present study. Comparing the lowest to the highest paternal education category, adjusted risk ratios (95% CIs) were 1.22 (1.10 to 1.35) for preterm birth, 1.13 (1.03 to 1.23) for SGA birth, 1.92 (1.28 to 2.86) for stillbirth and 1.67 (1.01 to 2.75) for infant mortality. Consistent patterns of associations were observed for absolute risk differences. CONCLUSIONS: Our study suggests that low paternal education increases the risk of adverse birth outcomes, and especially of fetal and infant mortality, independently from maternal characteristics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".