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Record W4416121532 · doi:10.1186/s12940-025-01237-9

Prenatal fluoride exposure and autistic behaviors in preschool-aged children: the Maternal-Infant Research on Environmental Chemicals (MIREC) cohort study

2025· article· en· W4416121532 on OpenAlexafffundabout
Adele Carty, Rivka Green, Carly Goodman, John McLaughlin, Howard Hu, Bruce P. Lanphear, E. Angeles Martínez‐Mier, Amanda J MacFarlane, Gina Muckle, Jeffrey R. Brook, Christine Till

Bibliographic record

VenueEnvironmental Health · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFluoride Effects and Removal
Canadian institutionsCentre hospitalier de l'Université LavalCentre hospitalier universitaire de QuébecUniversité LavalChild and Family Research InstituteHospital for Sick ChildrenYork UniversityPublic Health OntarioUniversity of Toronto
FundersNational Institute of Environmental Health SciencesCanadian Institutes of Health ResearchHealth Canada
KeywordsCohort studyPrenatal exposureCohortAutismPregnancyFluorideAssociation (psychology)

Abstract

fetched live from OpenAlex

The prevalence of autism spectrum disorder has risen in recent decades. Given the growing evidence that prenatal fluoride exposure may be neurotoxic, we examined associations between prenatal fluoride exposure and parent-reported autistic behaviors in preschool-aged children. We studied 453 mother-child pairs using data from the Maternal-Infant Research on Environmental Chemicals (MIREC) study, a prospective Canadian birth cohort. Autistic behaviors were assessed in children at 3 to 4 years using the Social Responsiveness Scale-Second Edition (SRS-2) Preschool Form, where a higher score indicates more autistic behaviors. We estimated prenatal fluoride exposure using three methods: (i) maternal urinary fluoride adjusted for specific gravity (MUFSG), from spot urine samples collected at each trimester and the mean calculated across samples, (ii) daily maternal fluoride intake, based on self-reported consumption of tap water, coffee, and tea during the first and third trimesters, and (iii) water fluoride concentration in tap water. We used multivariable linear regression models to estimate associations between the SRS-2 scale T-scores and each fluoride exposure separately. We used multivariable logistic regression to estimate the association between each prenatal fluoride exposure and an elevated SRS-2 total T-score (i.e., 90th percentile or higher). Potential effect modification of MUFSG was examined by child sex, daily folic acid supplementation, and plasma total folate in pregnancy. The mean SRS-2 total T-score for children aged 3 to 4 years was 45.3 (SD = 6.1, range = 34 to 85). The median MUFSG concentration was 0.43 mg/L (interquartile range = 0.33 mg/L). MUFSG was not significantly associated with the SRS-2 total T-score in multivariable linear regression (β = -0.16; 95% CI, -1.70, 1.39) or logistic regression (OR = 0.76; 95% CI, 0.29, 1.96). Similarly, estimated daily fluoride intake and water fluoride concentration were not associated with the SRS-2 total T-score. No effect modification was observed. There was no evidence of an association between prenatal fluoride exposure and autistic behaviors in preschool-aged children, in contrast to previous MIREC research findings on lead and phthalates. Given that this cohort has relatively few children with high SRS-2 scores, further research is needed in other groups of children to more fully explore this association.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.290
Teacher spread0.282 · 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.

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

Citations1
Published2025
Admission routes3
Has abstractyes

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