Evidence map›Paper›PMID 30720588›Full record

ArticleEpidemiology (Cambridge, Mass.)2019

Prenatal Metal Concentrations and Childhood Cardiometabolic Risk Using Bayesian Kernel Machine Regression to Assess Mixture and Interaction Effects.

Allison Kupsco, Marianthi-Anna Kioumourtzoglou, Allan C Just, Chitra Amarasiriwardena, Guadalupe Estrada-Gutierrez, Alejandra Cantoral, Alison P Sanders, Joseph M Braun, Katherine Svensson, Kasey J M Brennan and 4 more

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Metal mixtures and adiposity indicators in women from Northern Mexico.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

14 authors at 6 institutions in 2 countries.

Allison KupscoFrom the Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY.
Marianthi-Anna KioumourtzoglouFrom the Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY.
Allan C JustDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY.
Chitra AmarasiriwardenaDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY.
Guadalupe Estrada-GutierrezNational Institute of Perinatology, Mexico City, Mexico.
Alejandra CantoralCenter for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Alison P SandersDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY.
Joseph M BraunDepartment of Epidemiology, Brown University, Providence, RI.
Katherine SvenssonDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY.
Kasey J M BrennanFrom the Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY.
Emily OkenDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA.
Robert O WrightDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY.
Andrea A BaccarelliFrom the Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY.
Maria M Téllez-RojoCenter for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Icahn School of Medicine at Mount Sinai · USColumbia University Irving Medical Center · USInstituto Nacional de Salud Pública · MXBrown University · USHarvard Pilgrim Health Care · USInstituto Nacional de Perinatología · MX

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Diane Berengere Re · 1998 to 2026
$44.7M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Maria Jose Rosa · 2014 to 2026
$21.3M
Stress, Lead, Iron Deficiency and NeurodevelopmentR01ES013744 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2007 to 2026
$13.4M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Organic-metal mixtures and neurodevelopmentR01ES026033 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora, Robert O Wright · 2016 to 2026
$6.1M
BPA, Phthalates & Stress: Mechanisms and Interactions for Childhood ObesityR01ES021357 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BACCARELLI, ANDREA, WRIGHT, ROBERT O · 2012 to 2016
$3.3M
The Programming Research in Obesity, GRowth, Environment and Social Stress (PROGRESS) CohortR24ES028522 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Megan K Horton, Maria Jose Rosa · 2017 to 2026
$1.8M
Prenatal Exposure to Endocrine Disrupters, DNA Methylation, and Childhood ObesityR00ES023450 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JUST, ALLAN C. · 2016 to 2018
$747k
Children's Exposure to Metals, MicroRNAs and Biomarkers of Renal HealthR00ES027508 · NIEHS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANDERS, ALISON P · 2018 to 2020
$738k
Children's Exposure to Metals, MicroRNAs and Biomarkers of Renal HealthK99ES027508 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SANDERS, ALISON P · 2017 to 2017
$104k
NIDDK NIH HHS P30 DK092924NIEHS NIH HHS K99 ES027508NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R00 ES023450NIEHS NIH HHS R00 ES027508NIEHS NIH HHS R01 ES013744NIEHS NIH HHS R01 ES021357NIEHS NIH HHS R01 ES026033NIEHS NIH HHS R24 ES028522
6 · The paper itself

Abstract

backgroundTrace metal concentrations may affect cardiometabolic risk, but the role of prenatal exposure is unclear. We examined (1) the relation between blood metal concentrations during pregnancy and child cardiometabolic risk factors; (2) overall effects of metals mixture (essential vs. nonessential); and (3) interactions between metals.

methodsWe measured 11 metals in maternal second-trimester whole blood in a prospective birth cohort in Mexico City. In children 4-6 years old, we measured body mass index (BMI), percent body fat, and blood pressure (N = 609); and plasma hemoglobin A1C (HbA1c), non-high-density lipoprotein (HDL) cholesterol, triglycerides, leptin, and adiponectin (N = 411). We constructed cardiometabolic component scores using age- and sex-adjusted z scores and averaged five scores to create a global risk score. We estimated linear associations of each metal with individual z scores and used Bayesian Kernel Machine Regression to assess metal mixtures and interactions.

resultsHigher total metals were associated with lower HbA1c, leptin, and systolic blood pressure, and with higher adiponectin and non-HDL cholesterol. We observed no interactions between metals. Higher selenium was associated with lower triglycerides in linear (β = -1.01 z score units per 1 unit ln(Se), 95% CI = -1.84, -0.18) and Bayesian Kernel Machine Regression models. Manganese was associated with decreased HbA1c in linear models (β = -0.32 and 95% CI = -0.61, -0.03). Antimony and arsenic were associated with lower leptin in Bayesian Kernel Machine Regression models. Essential metals were more strongly associated with cardiometabolic risk than were nonessential metals.

conclusionsLow essential metals during pregnancy were associated with increased cardiometabolic risk factors in childhood.

Indexed as

AdiponectinAdipose TissueAdolescentAdultBayes TheoremBlood PressureBody Mass IndexCardiovascular DiseasesChildChild, PreschoolCholesterolFemaleGlycated HemoglobinHumansLeptinMetalsAdiponectinCholesterolGlycated Hemoglobinhemoglobin A1c protein, humanLeptinMetalsTriglycerides

Identifiers

PMID30720588
PMCPMC6402346
OpenAlexW2902281111

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.