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Record W4415029574 · doi:10.1016/j.envint.2025.109845

Prenatal and prepubertal exposures to organochlorine compounds and perfluoroalkyl substances and pubertal development at age 12: The PELAGIE cohort study

2025· article· en· W4415029574 on OpenAlexaff
Lola Menant, Florence Rouget, Hélène Tillaut, Charline Warembourg, Elke Rouxel, Fabrice Lainé, Éric Gaudreau, Sylvaine Cordier, Ronan Garlantézec, Christine Monfort, Cécile Chevrier

Bibliographic record

VenueEnvironment International · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsInstitut National de Santé Publique du Québec
FundersCHIST-ERAInstitut pour la Recherche en Santé PubliqueInstitut de Veille SanitaireÉcole des Hautes Études en Santé PubliqueFondation de FranceInstitut National de la Santé et de la Recherche MédicaleAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du TravailInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementAgence Nationale de la Recherche
KeywordsCohort studyCohortPrenatal exposurePregnancyYoung adult

Abstract

fetched live from OpenAlex

BACKGROUND: Emerging evidence suggests that prenatal and prepubertal exposure to organochlorine compounds (OCs) and perfluoroalkyl substances (PFASs) is associated with children's reproductive health. This study examines the potential impact of these exposures on pubertal development in 12-year-old children. METHODS: Based on the French PELAGIE mother-child cohort, concentrations of OCs and PFASs were measured in cord blood (from 2003 to 2006) and in blood at age 12 (from 2016 to 2018). Medical staff assessed pubertal development (Tanner stages) at age 12, and girls self-reported age at menarche annually (ages 9-16). Associations between exposures and delayed or earlier pubertal development were analyzed using multinomial logistic and Cox regression models, adjusting for confounders, and using quantile g-computation for compound mixtures. RESULTS: Among 502 children (250 girls, 252 boys; median age: 12.8 years), prenatal PFUdA exposure in girls was associated with delayed breast development [OR (95 %CI): 2.05 (1.03,4.06)]. In boys, prenatal PFHxS exposure was associated with reduced risk of earlier gonadal development [0.47 (0.26,0.83)], and β-HCH with reduced risks of both delayed [0.66 (0.43,0.99)] and earlier [0.69 (0.48,0.97)] pubic hair development. Prepubertal exposure in girls to HCB, PCBs, and PFASs was associated with increased risk of delayed breast development [e.g. , PFOA: 2.53 (1.04,6.12)] and later age at menarche [e.g., ΣPCBs: HR 0.77 (0.61,0.97)]. In boys, prepubertal p,p'-DDE was associated with increased risk of earlier puberty [gonadal development: 1.77 (1.09,2.88); pubic hair growth: 1.56 (1.01,2.44)], while PCB-118 was associated with delayed development. Prepubertal PFASs were associated with reduced risk of earlier puberty [e.g., PFHxS-gonadal stages: 0.39 (0.20,0.75)]. In mixture analyses, no associations were observed with regards to prenatal exposure, but prepubertal exposure was associated with delayed pubertal development in girls. CONCLUSION: Prenatal and prepubertal exposure to OCs and PFASs may alter pubertal development at age 12 in girls and boys, underscoring the need for further research.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.083
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes1
Has abstractyes

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