Maternal Fluoride Exposure and Offspring IQ: An Investigation of the Potential Mediating Role of Thyroid Dysfunction in Pregnancy
Bibliographic record
Abstract
Objective: Fluoride exposure has been associated with thyroid dysfunction; however, no studies to date have examined whether fluoride disrupts thyroid function in pregnant women. We evaluated the potential thyroid-disrupting effects of fluoride exposure in pregnancy and tested whether thyroid disruption in pregnancy would mediate the association between maternal fluoride exposure and child IQ in Canadian mother-child dyads.\nMethods: Maternal thyroid dysfunction was estimated using both categorical measures of thyroid health status (i.e., euthyroid, subclinical, and primary hypothyroid) and continuous measures of thyroid hormone levels (i.e., TSH, FT4, and TT4).\nResults: We observed a statistically significant association between water fluoride concentration and greater risk of primary hypothyroidism, and between primary hypothyroidism in pregnancy and lower IQ among male offspring. Further, higher urinary fluoride concentration was associated with higher TSH among women pregnant with female, but not male fetuses. Maternal thyroid hormone levels were not associated with offspring IQ.\nConclusion: Results suggest that maternal thyroid dysfunction in pregnancy may be one mechanism underlying the association between fluoride exposure in pregnancy and offspring IQ.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".