Pesticide exposure, birth size, and gestational age in the ISA birth cohort, Costa Rica
Bibliographic record
Abstract
Purpose: To examine associations of prenatal biomarkers of pesticide exposure with birth size measures and length of gestation among newborns from the Infants’ Environmental Health (ISA) birth cohort, Costa Rica. Methods: We included 386 singleton liveborn newborns with data on birth size measures, length of gestation, and maternal urinary biomarkers of chlorpyrifos, synthetic pyrethroids, mancozeb, pyrimethanil, and 2, 4-D during pregnancy. We associated biomarkers of exposure with birth outcomes using multivariate linear regression and generalized additive models. Results: Concentrations were highest for ethylene thiourea (ETU, metabolite of mancozeb), median = 3.40; p10–90 = 1.90–6.79 µg/L, followed by 3,5,6-trichloro-2-pyridinol (TCP, metabolite of chlorpyrifos) p50 = 1.76 p10–90 = 0.97–4.36 µg/L, and lowest for 2,4-D (p50 = 0.33 p10–90 = 0.18–1.07 µg/L). Among term newborns (≥37 weeks), higher prenatal TCP was associated with lower birth weight and smaller head circumference (e.g., β per 10-fold-increase) during the second half of pregnancy = −129.6 (95% confidence interval [CI] = −255.8, −3.5) grams, and −0.61 (95% CI = −1.05, −0.17) centimeters, respectively. Also, among term newborns, prenatal 2,4-D was associated with lower birth weight ( β per 10-fold-increase = −125.1; 95% CI = −228.8, −21.5), smaller head circumference ( β = −0.41; 95% CI = −0.78, −0.03), and, during the second half of pregnancy, with shorter body length ( β = −0.58; 95% CI = −1.09, −0.07). Furthermore, ETU was nonlinearly associated with head circumference during the second half of pregnancy. Biomarkers of pyrethroids and pyrimethanil were not associated with birth size, and none of the biomarkers explained the length of gestation. Conclusions: Prenatal exposure to chlorpyrifos and 2,4-D, and, possibly, mancozeb/ETU, may impair fetal growth.
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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) | 0.000 | 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) | 0.001 | 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 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".