Evidence map›Paper›PMID 35081493›Full record

ArticleEnvironment international2022

Prenatal metal(loid) mixtures and birth weight for gestational age: A pooled analysis of three cohorts participating in the ECHO program.

Caitlin G Howe, Sara S Nozadi, Erika Garcia, Thomas G O'Connor, Anne P Starling, Shohreh F Farzan, Brian P Jackson, Juliette C Madan, Akram N Alshawabkeh, José F Cordero and 5 more

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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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

15 authors at 9 institutions in 1 country.

Caitlin G HoweDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03766, USA.
Sara S NozadiCommunity Environmental Health Program, College of Pharmacy, University of New Mexico Health Sciences Center, 1 University of New Mexico, Albuquerque, NM 87131, USA.
Erika GarciaDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St, Los Angeles, CA 90032, USA.
Thomas G O'ConnorDepartment of Psychiatry, University of Rochester Medical Center, 601 Elmwood, Ave, Rochester, NY 14642, USA.
Anne P StarlingDepartment of Epidemiology, University of North Carolina at Chapel Hill, 2101 McGavran-Greenberg, Campus Box 7435, Chapel Hill, NC 27599, USA.
Shohreh F FarzanDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St, Los Angeles, CA 90032, USA.
Brian P JacksonDepartment of Earth Sciences, Dartmouth College, 39 College St, Hanover, NH 03755, USA.
Juliette C MadanDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03766, USA; Departments of Pediatrics and Psychiatry, Children's Hospital at Dartmouth, Dartmouth Hitchcock Medical Center, 1 Medical Center Drive, Lebanon, NH 03756, USA.
Akram N AlshawabkehDepartment of Engineering, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA.
José F CorderoDepartment of Epidemiology & Biostatistics, College of Public Health, University of Georgia, 101 Buck Rd, Athens, GA 30602, USA.
Theresa M BastainDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St, Los Angeles, CA 90032, USA.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
Carrie V BretonDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St, Los Angeles, CA 90032, USA.
Margaret R KaragasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03766, USA.
program collaborators for Environmental Influences on Child Health Outcomes
University of Southern California · USDartmouth College · USDartmouth–Hitchcock Medical Center · USNortheastern University · USUniversity of Georgia · USUniversity of Michigan–Ann Arbor · USUniversity of New Mexico · USUniversity of North Carolina at Chapel Hill · USUniversity of Rochester Medical Center · US

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI JUNFENG ZHANG · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
VARIATION IN BIOACCUMULATION AND BIOMAGNIFICATION OF METALS IN NORTHERN US LAKESP42ES007373 · NIEHS · DARTMOUTH COLLEGE · PI STANTON, BRUCE A. · 1995 to 2019
$52.0M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 1996 to 2026
$46.4M
A prospective study of critical environmental exposures in formative early life that impact lifelong health in rural US children: the New Hampshire Birth Cohort StudyUH3OD023275 · OD · DARTMOUTH COLLEGE · PI MARGARET Rita KARAGAS, Juliette Madan · 2018 to 2026
$44.3M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI ALSHAWABKEH, AKRAM N · 2010 to 2024
$38.6M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Lifecourse Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory Health (LA DREAMERs)UH3OD023287 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M, BRETON, CARRIE VAN DOREN · 2018 to 2022
$28.4M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GENNINGS, CHRIS · 2015 to 2025
$26.4M
Environmental Influences on Child Health Outcomes in Puerto Rico (ECHO-PRO)UH3OD023251 · OD · NORTHEASTERN UNIVERSITY · PI Akram N Alshawabkeh · 2018 to 2026
$24.0M
NCI NIH HHS P30 CA023108NIEHS NIH HHS P01 ES022832NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P42 ES007373NIEHS NIH HHS P42 ES017198NIEHS NIH HHS R00 ES030400NIEHS NIH HHS U2C ES026553NIEHS NIH HHS U2C ES026555NIGMS NIH HHS P20 GM104416NIH HHS U24 OD023319NIH HHS U24 OD023382NIH HHS U2C OD023375NIH HHS UG3 OD023344NIH HHS UH3 OD023248NIH HHS UH3 OD023251NIH HHS UH3 OD023275NIH HHS UH3 OD023287NIH HHS UH3 OD023344NIMHD NIH HHS P50 MD015705
6 · The paper itself

Abstract

backgroundA growing number of studies have identified both toxic and essential metals which influence fetal growth. However, most studies have conducted single-cohort analyses, which are often limited by narrow exposure ranges, and evaluated metals individually. The objective of the current study was to conduct an environmental mixture analysis of metal impacts on fetal growth, pooling data from three geographically and demographically diverse cohorts in the United States participating in the Environmental Influences on Child Health Outcomes program.

methodsThe pooled sample (N = 1,002) included participants from the MADRES, NHBCS, and PROTECT cohorts. Associations between seven metals (antimony, cadmium, cobalt, mercury, molybdenum, nickel, tin) measured in maternal urine samples collected during pregnancy (median: 16.0 weeks gestation) and birth weight for gestational age z-scores (BW for GA) were investigated using Bayesian Kernel Machine Regression (BKMR). Models were also stratified by cohort and infant sex to investigate possible heterogeneity. Chromium and uranium concentrations fell below the limits of detection for most participants and were evaluated separately as binary variables using pooled linear regression models.

resultsIn the pooled BKMR analysis, antimony, mercury, and tin were inversely and linearly associated with BW for GA, while a positive linear association was identified for nickel. The inverse association between antimony and BW for GA was observed in both males and females and for all three cohorts but was strongest for MADRES, a predominantly low-income Hispanic cohort in Los Angeles. A reverse j-shaped association was identified between cobalt and BW for GA, which was driven by female infants. Pooled associations were null for cadmium, chromium, molybdenum, and uranium, and BKMR did not identify potential interactions between metal pairs.

conclusionsFindings suggest that antimony, an understudied metalloid, may adversely impact fetal growth. Cohort- and/or sex-dependent associations were identified for many of the metals, which merit additional investigation.

Indexed as

MetalloidsMetalsBayes TheoremBirth WeightChildFemaleGestational AgeHumansInfantMalePregnancyMetalloidsMetalsBKMRFetal growthMetalloidsMetalsMixturesPooled analysis

Identifiers

PMID35081493
PMCPMC8891091
OpenAlexW4206921320

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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.