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Record W4317181761 · doi:10.1289/isee.2022.p-0485

Prenatal exposure to multiple persistent organic pollutants and adiposity markers and blood pressure in 12-year-old children

2022· article· en· W4317181761 on OpenAlexaff
Elke Rouxel, Christine Monfort, Nathalie Costet, Karine Audouze, Éric Gaudreau, Joan O. Grimalt, Fabrice Lainé, Sabrina Llop, Florence Rouget, Ljiljana Marina, Martine Vrijheid, Cécile Chevrier, Maribel Casas, Charline Warembourg

Bibliographic record

VenueISEE Conference Abstracts · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsInstitut National de Santé Publique du Québec
Fundersnot available
KeywordsHexachlorobenzeneBody mass indexMedicineConfoundingObesityPrenatal exposureWaistPhysiologyPregnancyOffspringEndocrinologyInternal medicinePollutantChemistryBiology

Abstract

fetched live from OpenAlex

Background. Several studies reported that prenatal exposure to some persistent organic pollutants (POPs) is associated with greater adiposity in childhood. Few studies have assessed whether this finding persists into adolescence and have considered exposure to POPs as a mixture. This study aims to assess the association between prenatal exposure to multiple POPs and adiposity markers and blood pressure in 12-year-old children. Methods. This study included 1658 mother-child pairs enrolled in the PELAGIE (France) and the INMA (Spain) mother-child cohorts. Three polychlorobiphenyls (PCB 138, 153 and 180, treated as a sum of PCBs) and three organochlorine pesticides (Dichlorodiphenyldichloroethylene [DDE], β-hexachlorocyclohexane [β-HCH], and hexachlorobenzene [HCB]) were assessed by biomarkers. Body mass index z-score (zBMI), abdominal obesity (waist-to-height ratio>0.5), percentage of fat mass, and blood pressure were measured around 12 years old. Single-exposure associations were studied using linear and logistic regressions and the POP mixture effect was evaluated using Quantile G-computation (qgComp) and Bayesian Kernel Machine Regression (BKMR). All models were adjusted for potential confounders and were performed for boys and girls together and separately. Results. Prenatal exposure to the POP mixture was associated with higher zBMI (beta [95% CI] of the qgComp = 0.15 [0.07; 0.24]) and percentage of fat mass (0.80 [0.28; 1.32]) at 12 years old. These mixture effects were also statistically significant using BKMR, and after stratification by sex. In overall, these associations were mainly driven by exposure to HCB and, to a lower extent, to β-HCH. Additionally, the single-exposure models showed an association between β-HCH and DDE with higher systolic blood pressure, especially in girls (beta [95% CI] of DDE for girls = 0.91 [0.06; 1.76], p sex-interaction=0.08). Conclusion. This study suggests that prenatal exposure to POPs, especially to organochlorine pesticides, remains associated with adiposity markers until age 12. Keywords. Chemicals; Body mass index; Mixture; Birth cohort

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.018
GPT teacher head0.230
Teacher spread0.212 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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