Associations of prenatal glyphosate exposure with child neurodevelopment in a Canadian pregnancy cohort study
Bibliographic record
Abstract
OBJECTIVE: Glyphosate is the most widely used pesticide worldwide. Few epidemiologic studies have examined the potential for neurotoxicity by glyphosate or its degradate, Aminomethylphosphonic Acid (AMPA). We examined associations of maternal urinary glyphosate and AMPA concentrations with child cognitive, social, and behavioural functioning in participants enrolled in the Maternal-Infant Research on Environmental Chemicals (MIREC) study. METHODS: Maternal urinary glyphosate and AMPA concentrations were measured in first trimester spot urine samples. We assessed children's cognition (IQ) at 3-4 years of age (n = 572) using the Wechsler Preschool and Primary Scale of Intelligence-III. Social (n = 566) and behavioural (n = 840) functioning were assessed using parent-report versions of the Social Responsiveness Scale-2 and Behavioral Assessment System for Children-2. We quantified associations between maternal urinary glyphosate and AMPA concentrations and child neurodevelopmental outcomes using multivariable linear regression models and assessed effect modification by child sex, maternal folic acid, and plasma folate. RESULTS: Median (IQR) urinary glyphosate and AMPA concentrations were 0.31 (0.33) μg/L and 0.25 (0.25) μg/L. Maternal urinary glyphosate and AMPA concentrations were not significantly associated with children's cognitive, social or behavioural functioning, and there was no evidence of effect modification. We found a non-significant inverse trend between maternal urinary AMPA concentrations and Performance IQ (B = -0.85; 95 %CI: -1.71,0.01). CONCLUSION: In this primarily urban cohort of Canadian mother-child pairs, prenatal glyphosate and AMPA exposure were not significantly associated with child neurodevelopment. Further evaluation of glyphosate as a potential developmental neurotoxicant in a study with multiple urine samples per participant and at higher exposure levels is warranted.
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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) | 0.003 | 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".