Evidence map›Paper›PMID 38224844›Full record

ArticleNeurotoxicology and teratology

The U.S. PFAS exposure burden calculator for 2017-2018: Application to the HOME Study, with comparison of epidemiological findings from NHANES.

Shelley H Liu, Yitong Chen, Leah Feuerstahler, Aimin Chen, Anne Starling, Dana Dabelea, Xiaobin Wang, Kim Cecil, Bruce Lanphear, Kimberly Yolton and 2 more

Open access · greenAbstract read
In one paragraph

Article in Neurotoxicology and teratology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 10 institutions in 2 countries.

Shelley H LiuDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai. Electronic address: Shelley.liu@mountsinai.org.
Yitong ChenDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai.
Leah FeuerstahlerDepartment of Psychology, Fordham University.
Aimin ChenDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine.
Anne StarlingDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill.
Dana DabeleaDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus.
Xiaobin WangDepartment of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health.
Kim CecilDepartment of Radiology, University of Cincinnati.
Bruce LanphearDepartment of Health Sciences, Simon Fraser University.
Kimberly YoltonDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine.
Joseph M BraunDepartment of Epidemiology, Brown University School of Public Health.
Jessie P BuckleyDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health.
Icahn School of Medicine at Mount Sinai · USJohns Hopkins University · USCincinnati Children's Hospital Medical Center · USColorado School of Public Health · USFordham University · USJohn Brown University · USSimon Fraser University · CAUniversity of Cincinnati · USUniversity of North Carolina at Chapel Hill · USUniversity of Pennsylvania · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
Endocrine disrupting chemical mixtures and bone health in adolescenceR01ES033252 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUCKLEY, JESSIE P · 2021 to 2025
$3.0M
Gestational PFAS Mixture Exposures, Longitudinal Metabolomic Profiles, and Adolescent Cardiometabolic HealthR01ES032836 · NIEHS · BROWN UNIVERSITY · PI BRAUN, JOSEPH M · 2021 to 2024
$2.4M
Early Life Phthalate and Perfluoroalkyl Substance Exposures and Childhood Bone HealthR01ES030078 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUCKLEY, JESSIE P · 2019 to 2023
$2.1M
Improving precision in modeling childhood executive function trajectories using psychometricsK25HD104918 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LIU, SHELLEY HAN · 2021 to 2025
$651k
A Residential Dust Control Intervention to Reduce Early Childhood Exposure toChemical MixturesR21ES034187 · NIEHS · BROWN UNIVERSITY · PI BRAUN, JOSEPH M · 2022 to 2023
$469k
Endocrine disruptors and insulin resistance: quantifying impacts with a novel exposure burden scoreR03ES033374 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LIU, SHELLEY HAN · 2021 to 2022
$185k
NICHD NIH HHS K25 HD104918NIEHS NIH HHS L40 ES032257NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30 ES013508NIEHS NIH HHS R01 ES030078NIEHS NIH HHS R01 ES032836NIEHS NIH HHS R01 ES033252NIEHS NIH HHS R03 ES033374NIEHS NIH HHS R21 ES034187
6 · The paper itself

Abstract

backgroundThe 2017-2018 U.S. PFAS exposure burden calculator was designed to provide a summary exposure score for per- and polyfluoroalkyl substances (PFAS) mixtures using targeted PFAS analyte data. Its aim was to place PFAS burden score estimates onto a common scale based on nationally representative U.S. reference ranges from 2017 to 2018, enabling comparisons of overall PFAS burden scores across studies even if they did not measure the same set of PFAS analytes.

objectiveTo use the U.S. PFAS exposure burden calculator for comparing the same mixture of PFAS compounds in similarly aged adolescents and their associations with cardiometabolic outcomes in the HOME Study and NHANES between 2015 and 2018.

methodsWe applied the PFAS burden calculator to 8 PFAS analytes measured in the serum of adolescents from the HOME Study (Cincinnati, Ohio; age range 11-14 years; years: 2016-2019; n = 207) and NHANES (US; age range 12-14 years; years 2015-2018; n = 245). We used the non-parametric Mann-Whitney U test and chi-squared test to compare the two study samples. In both studies, we examined associations of PFAS burden scores with the same cardiometabolic outcomes, adjusted for the same core set of covariates using regression analyses. We conducted sensitivity analyses to verify robustness of exposure-outcome associations, by accounting for measurement error of PFAS burden scores.

resultsPFAS burden scores were significantly different (p = 0.004) between the HOME Study (median: 0.00, interquartile range - 0.37, 0.34) and the NHANES samples (median: 0.04, IQR -0.11, 0.54), while no significant difference was found for PFAS summed concentrations (p = 0.661). In the HOME Study, an interquartile (IQR) increase in PFAS burden score was associated with higher total cholesterol [7.0 mg/dL, 95% CI: 0.6, 13.4]; HDL [2.8 mg/dL, 95% CI: 0.4, 5.2]; LDL [5.9 mg/dL, 95% CI: 0.5, 11.3], insulin [0.1 log(mIU/L), 95% CI: 0.01, 0.2], and HOMA-IR [0.1, 95% CI: 0.01, 0.2]. In NHANES, an IQR increase in PFAS burden score was associated with higher diastolic blood pressure [2.4 mmHg, 95% CI: 0.4, 4.4] but not with other outcomes. Sensitivity analyses in the HOME Study and NHANES were consistent with the main findings.

conclusionsPerformance of the U.S. PFAS exposure burden calculator was similar in a local versus national sample of adolescents, and may be a useful tool for the assessment of PFAS mixtures across studies.

Indexed as

Cardiovascular DiseasesEnvironmental PollutantsFluorocarbonsAdolescentAgedChildHumansNutrition SurveysEnvironmental PollutantsFluorocarbonsCardiometabolicChemical mixturesItem response theoryLatent variable modelsPFASPsychometrics

Identifiers

PMID38224844
PMCPMC11249202
OpenAlexW4390843715

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.