Evidence map›Paper›PMID 39098852›Full record

ArticleJournal of exposure science & environmental epidemiology2026

Public drinking water contaminant estimates for birth cohorts in the Environmental Influences on Child Health Outcomes (ECHO) Cohort.

Tessa R Bloomquist, Maya Spaur, Ilan Cerna-Turoff, Amii M Kress, Mohamad Burjak, Allison Kupsco, Joan A Casey, Julie B Herbstman, Anne E Nigra

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Observational
  2. Observational
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

9 authors.

Tessa R BloomquistDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA. Tb2715@cumc.columbia.edu.ORCID http://orcid.org/0000-0002-0056-8830
Maya SpaurDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Ilan Cerna-TuroffDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Amii M KressDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MA, USA.
Mohamad BurjakDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MA, USA.
Allison KupscoDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Joan A CaseyDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Julie B HerbstmanDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Anne E NigraDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.

Funding

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
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Steven N. Chillrud · 1998 to 2026
$44.7M
Not whether but how: The ethics of reporting individual results in a pregnancy cohort.UH3OD023290 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Julie Beth Herbstman, AMY MARGOLIS · 2018 to 2026
$18.8M
Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
Research Experience and Training Coordination CoreP42ES033719 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ana Navas-Acien · 2022 to 2026
$11.9M
Identifying Newborns at Risk of Adverse Neurodevelopmental Outcomes and Obesity from Air Pollution.UG3OD023290 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HERBSTMAN, JULIE BETH, MARGOLIS, AMY · 2016 to 2024
$10.9M
Development CoreP2CHD058486 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MATTHEW J NEIDELL · 2014 to 2026
$4.3M
Public Drinking Water Contaminants and Infant Health: Advancing Environmental JusticeDP5OD031849 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NIGRA, ANNE E · 2021 to 2025
$2.0M
NICHD NIH HHS P2C HD058486NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES033719NIEHS NIH HHS T32 ES007322NIH HHS DP5 OD031849NIH HHS U24 OD023382NIH HHS UG3 OD023290NIH HHS UH3 OD023290
6 · The paper itself

Abstract

backgroundThe United States Environmental Protection Agency (USEPA) regulates over 80 contaminants in community water systems (CWS), including those relevant to infant health outcomes. Multi-cohort analyses of the association between measured prenatal public water contaminant concentrations and infant health outcomes are sparse in the US.

objectiveOur objectives were to (1) develop Zip Code Tabulation Area (ZCTA)-level CWS contaminant concentrations for participants in the Environmental Influences on Child Health Outcomes (ECHO) Cohort and (2) evaluate regional, seasonal, and sociodemographic inequities in contaminant concentrations at the ZCTA-level. The ECHO Cohort harmonizes data from over 69 extant pregnancy and pediatric cohorts across the US.

methodsWe used CWS estimates derived from the USEPA's Six-Year Review 3 (2006-2011) to develop population-weighted, average concentrations for 10 contaminants across 7640 ZCTAs relevant to the ECHO Cohort. We evaluated contaminant distributions, exceedances of regulatory thresholds, and geometric mean ratios (with corresponding percent changes) associated with ZCTA sociodemographic characteristics via spatial lag linear regression models.

resultsWe observed significant regional variability in contaminant concentrations across the US. ZCTAs were most likely to exceed the maximum contaminant level for arsenic (n = 100, 1.4%) and the health-protective threshold for total trihalomethanes (n = 3584, 64.0%). A 10% higher proportion of residents who were American Indian/Alaskan Native and Hispanic/Latino was associated with higher arsenic (11%, 95% CI: 7%, 15%; and 2%, 95% CI: 0%, 3%, respectively) and uranium (15%, 95% CI: 10%, 21%; and 9%, 95% CI: 6%, 12%, respectively) concentrations. IMPACT: Nationwide epidemiologic analyses evaluating the association between US community water system contaminant concentration estimates and associated adverse birth outcomes in cohort studies are sparse because public water contaminant concentration estimates that can be readily linked to participant addresses are not available. We developed Zip Code Tabulation Area (ZCTA)-level CWS contaminant concentrations that can be linked to participants in the Environmental Influences on Child Health Outcomes (ECHO) Cohort and evaluated regional, seasonal, and sociodemographic inequities in contaminant concentrations for these ZCTAs. Future epidemiologic studies can leverage these CWS exposure estimates in the ECHO Cohort to evaluate associations with relevant infant outcomes.

Indexed as

Child HealthDrinking WaterEnvironmental ExposureWater Pollutants, ChemicalBirth CohortChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornMalePregnancyUnited StatesUnited States Environmental Protection AgencyDrinking WaterWater Pollutants, Chemicalchild healthdrinking waterenvironmental justice

Identifiers

PMID39098852
PMCPMC11790980

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Registered trials

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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.