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Record W7058150702

Maternal Fluoride Exposure and Offspring IQ: An Investigation of the Potential Mediating Role of Thyroid Dysfunction in Pregnancy

2023· other· en· W7058150702 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2023
Typeother
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
FundersU.S. Environmental Protection Agency
KeywordsOffspringPregnancyThyroidFluorideThyroid functionThyroid function testsHormone
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.132
Teacher spread0.128 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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