OCCUPATIONAL SOLVENT EXPOSURE DURING PREGNANCY AND CHILD BEHAVIOR AT AGE TWO IN THE PELAGIE COHORT
Bibliographic record
Abstract
Background: Many women work during pregnancy and are exposed to occupational toxicants. The developing central nervous system is highly vulnerable to neurotoxics such as solvents. Although ample evidence shows the neurotoxicity of solvents on adults, very few studies have examined their neurodevelopmental effects in humans following prenatal exposure. Our objective was to analyze the associations between maternal occupational exposure to solvents during pregnancy and child behavior problems (attention deficit/hyperactivity, aggressivity, opposition, and emotionality) at age two. Methods: Women from the PELAGIE mother-child cohort (including 3005 working women) were recruited in Brittany (France) between 2002 and 2006, at the beginning of pregnancy to document occupational exposure to solvents at that time. Maternal reports (n = 1277) described children’s behavior at two years of age. We evaluated the associations between occupational solvent exposure and children’s behavior with linear regressions after adjustment for confounders. Results: 51% of women reported no occupationally exposure to solvents, 21% occasional exposure and 28% regular exposure in early pregnancy. Children prenatally exposed to solvents were more likely to have higher scores for attention deficit/hyperactivity (p for trend = 0.019) and aggressivity (p for trend = 0.014) scores, and dose-response relations were observed. Conclusions: The dose-response effect and the high prevalence of children potentially exposed to solvents from their mother’s workplace exposure underline the public health relevance of this result. Further studies should corroborate our results and explore which particular solvents are most deleterious. Determination of the persistence of these behavioral effects requires long-term follow-up of exposed children.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".