MétaCan
Menu
Back to cohort
Record W4317181847 · doi:10.1289/isee.2022.o-op-042

Associations of pregnancy and early childhood phthalate exposures with adolescent lipid levels and insulin resistance: The HOME Study

2022· article· en· W4317181847 on OpenAlexaff
Taylor Etzel, Jordan R. Kuiper, Xiaboin Wang, Noel T. Mueller, Antonia M. Calafat, Kim M. Cecil, Aimin Chen, Bruce P. Lanphear, Heidi J. Kalkwarf, Kimberly Yolton, Joseph P. Smith, Jessie P. Buckley

Bibliographic record

VenueISEE Conference Abstracts · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicEffects and risks of endocrine disrupting chemicals
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsInsulin resistancePhthalateMedicineProspective cohort studyInternal medicineBiomarkerEndocrinologyPregnancyHomeostatic model assessmentUrineCohort studyPhysiologyInsulinBiologyChemistry

Abstract

fetched live from OpenAlex

Background and Aim: Early-life phthalate exposures may disrupt metabolism, but few prospective studies have assessed their association with cardiometabolic outcomes during adolescence. We investigated associations of pregnancy and childhood urinary phthalate biomarker concentrations with serum lipids and insulin resistance at age 12-years. Methods: We used data from 183 mother-adolescent pairs in a prospective cohort study that enrolled pregnant women in Cincinnati, OH from 2003-2006. We quantified nine phthalate metabolites in spot urine samples collected twice from mothers during pregnancy and up to seven times from children at ages 1-5, 8, and 12 years. At age 12 years, we assessed triglycerides, high-density (HDL) and low-density (LDL) lipoprotein cholesterol, insulin, and glucose from fasting serum samples and calculated homeostatic model assessment of insulin resistance. Using a multiple informant model, we estimated covariate-adjusted associations between phthalate concentrations at each time period and cardiometabolic biomarkers at age 12 years and assessed modification by child sex. Results: Overall, we observed weak or null associations of phthalate biomarker concentrations with lipid levels and insulin resistance. Urinary Monoethyl (MEP), Mono-n-butyl (MnBP), Mono-isobutyl (MiBP), and Monobenzyl (MBzP) biomarkers were generally associated with lower LDL at age 12 years. For example, a 10-fold increase in 4- and 12-year MEP was associated with -15.3 mg/dL (95% CI: -27.5, -3.13 mg/dL) and -11.8 mg/dL (-22.0, -1.51 mg/dL) lower levels of 12-year LDL, respectively. Inverse associations were generally stronger in females than males. For example, a 10-fold increase in 3-year MEP concentrations was associated with 12.0 mg/dL (95% CI: -7.11, 31.1 mg/dL) higher LDL levels in males and -30.4 mg/dL (95% CI: -50.9, -9.83 mg/dL) lower LDL levels in females. Conclusions: Early-life phthalate concentrations may be associated with exposure period- and sex-dependent differences in LDL during early adolescence in this cohort. Keywords: Children’s health, metabolic disruptors, phthalates, insulin resistance, lipids

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 score0.033
Threshold uncertainty score0.348

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 science0.0000.000
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 head0.021
GPT teacher head0.287
Teacher spread0.266 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueISEE Conference AbstractsSame topicEffects and risks of endocrine disrupting chemicalsFrench-language works237,207