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Gestational and Childhood Exposure to Per- and Polyfluoroalkyl Substances and Children’s Cardiometabolic Risk at Age 12 Years

2020· article· en· W3169091779 on OpenAlexaff
Nan Li, Y. Liu, George D. Papandonatos, Antonia Calafat, Kimberly Yolton, Bruce P. Lanphear, A. Chen, Joseph M. Braun

Bibliographic record

VenueISEE Conference Abstracts · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMedicineAdiponectinPerfluorooctaneInsulin resistanceInternal medicineLeptinPopulationEndocrinologyGestational agePregnancySmall for gestational ageHomeostatic model assessmentConfidence intervalObstetricsPhysiologyObesityEnvironmental healthBiologyChemistry

Abstract

fetched live from OpenAlex

Background/Aim: Per- and polyfluoroalkyl substances (PFAS) may adversely influence cardiometabolic risk by activating peroxisome proliferator-activated receptors and increasing cortisol levels. We examined the influence of gestational and childhood PFAS exposure on adolescent cardiometabolic risk. Methods: We quantified concentrations of four PFAS- (perfluorooctanoate [PFOA], perfluorooctane sulfonate, perfluorononanoate, and perfluorohexane sulfonate [PFHxS])- in sera collected during pregnancy, at birth, and at ages 3, 8, and 12 years for 221 mother-child pairs in the HOME Study (Cincinnati, Ohio). We assessed cardiometabolic outcomes using biological markers (after overnight fasting) and dual-energy X-ray absorptiometry scans at age 12 years. Overall cardiometabolic risk was assessed by summing population-specific standardized z-scores for homeostatic model assessment of insulin resistance (HOMA-IR), triglyceride to high-density lipoprotein ratio, adiponectin to leptin ratio (multiplied by -1), systolic blood pressure, and percent visceral fat. We used multiple informant models to estimate covariate-adjusted associations of serum PFAS concentrations (log2-transformed) at each visit with overall cardiometabolic risk score and its individual components, tested for differences in associations across visits. Results: Gestational and cord blood PFOA concentrations were positively associated with cardiometabolic risk score (gestational β=0.7, 95% confidence interval [CI]=0.0, 1.4; cord β=0.8, 95%CI=0.0, 1.6). In contrast, PFOA concentrations at other visits were not associated with cardiometabolic risk score (P for heterogeneity across visits=0.03). The positive associations for gestational PFOA were mainly driven by HOMA-IR (β=0.3; 95% CI: 0.1, 0.5), adiponectin/leptin ratio (β=-0.5; 95% CI: -1.0, 0), and percent visceral fat (β=2.6%; 95% CI: 0.4, 4.8). Similarly, gestational and cord PFHxS were associated with higher cardiometabolic risk score (βs [95%CIs]: gestational 0.8 [0.2, 1.4]; cord 1.0 [0.3, 1.7]), and the associations were driven by the similar individual components. No effect measure modification by child sex was identified. Conclusions: Gestational PFOA and PFHxS exposure are moderately associated with unfavorable cardiometabolic risk in children at age 12 years.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.016
GPT teacher head0.232
Teacher spread0.216 · 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
Published2020
Admission routes1
Has abstractyes

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