Contribution of Maternal Age to Preterm Birth Rates in Denmark and Quebec, 1981–2008
Bibliographic record
Abstract
OBJECTIVES: We sought evidence to support the hypothesis that advancing maternal age is potentially causing a rise in preterm birth (PTB) rates in high-income countries. METHODS: We assessed maternal age-specific trends in PTB using all singleton live births in Denmark (n = 1 674 308) and Quebec (n = 2 291 253) from 1981 to 2008. We decomposed the country-specific contributions of age-specific PTB rates and maternal age distribution to overall PTB rates over time. RESULTS: PTB rates increased from 4.4% to 5.0% in Denmark and from 5.1% to 6.0% in Quebec. Rates increased the most in women aged 20 to 29 years, whereas rates decreased or remained stable in women aged 35 years and older. The overall increase over time was driven by age-specific PTB rates, although the contribution of younger women was countered by fewer births at this age in both Denmark and Quebec. CONCLUSIONS: PTB rates increased among women aged 20 to 29 years, but their contribution to the overall PTB rates was offset by older maternal age over time. Women aged 20 to 29 years should be targeted to reduce PTB rates, as potential for prevention may be greater in this age group.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".