Work Activity in Pregnancy, Preventive Measures, and the Risk of Preterm Delivery
Bibliographic record
Abstract
The objective of this case-control study was to evaluate whether occupational conditions during pregnancy are associated with preterm delivery (PTD). Women whose work conditions changed following the use of a legally justified preventive measure (withdrawal from work or job reassignment) were also compared with those whose work conditions did not change. Cases (n = 1,242) and controls (n = 4,513) were selected from 43,898 women who had single livebirths between January 1997 and March 1999 in Québec, Canada. They were interviewed by telephone after delivery. Results showed association of PTD with demanding posture for at least 3 hours per day, whole-body vibrations, high job strain combined with low or moderate social support, and a cumulative index composed of nine occupational conditions. The adjusted odds ratio increased from 1.0 to 2.0 for PTD (ptrend < 0.0001) and from 1.0 to 2.7 for very PTD (<34 weeks; ptrend = 0.0015) as the number of conditions increased from zero to four or more. The associations for PTD and very PTD with most of the above-mentioned work conditions were weaker when exposures were eliminated following recourse to a legally justified preventive measure. This study provides relevant information on the possible influence of preventive measures on the risk of PTD in pregnant workers.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".