Evidence map›Paper›PMID 39812474›Full record

ArticleEnvironmental health perspectives2025

Socioeconomic Disparities in Exposures to PFAS and Other Unregulated Industrial Drinking Water Contaminants in US Public Water Systems.

Aaron J Maruzzo, Amanda B Hernandez, Christopher H Swartz, Jahred M Liddie, Laurel A Schaider

Abstract read
In one paragraph

Article in Environmental health perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Dietary and social predictors of PFAS exposure in Hispanic children from Northern Virginia.Journal of exposure science & environmental epidemiology · 2026
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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

5 authors.

Aaron J MaruzzoSilent Spring Institute, Newton, Massachusetts, USA.
Amanda B HernandezSilent Spring Institute, Newton, Massachusetts, USA.
Christopher H SwartzSilent Spring Institute, Newton, Massachusetts, USA.
Jahred M LiddieSilent Spring Institute, Newton, Massachusetts, USA.
Laurel A SchaiderSilent Spring Institute, Newton, Massachusetts, USA.ORCID 0000-0003-1988-0012

Funding

Sources, Transport, Exposure & Effects of PFAS (STEEP) Center - RENEWALP42ES027706 · NIEHS · UNIVERSITY OF RHODE ISLAND · PI Rainer Lohmann · 2017 to 2026
$18.9M
Training Program in Environmental EpidemiologyT32ES007069 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LADEN, FRANCINE · 1985 to 2024
$13.9M
Assessment of pediatric immunotoxicity, public education, and capacity-building in communities impacted by PFAS-contaminated drinking waterR01ES028311 · NIEHS · SILENT SPRING INSTITUTE · PI BROWN, PHILIP M., SCHAIDER, LAUREL A. · 2018 to 2022
$2.6M
NIEHS NIH HHS P42 ES027706NIEHS NIH HHS R01 ES028311NIEHS NIH HHS T32 ES007069
6 · The paper itself

Abstract

backgroundUnregulated contaminants in drinking water, such as per- and polyfluoroalkyl substances (PFAS), can contribute to cumulative health risks, particularly in overburdened and less-advantaged communities. To our knowledge, there has been no nationwide assessment of socioeconomic disparities in exposures to unregulated contaminants in drinking water.

objectiveThe goals of this study were to identify determinants of unregulated contaminant detection among US public water systems (PWSs) and evaluate disparities related to race, ethnicity, and socioeconomic status.

methodsWe gathered data from the US Environmental Protection Agency's (US EPA's) Third Unregulated Contaminant Monitoring Rule (2013-2015), PWS characteristics, sociodemographic data, and suspected pollution sources from regulatory databases. We included four target contaminants (or classes) with industrial sources: PFAS, 1,4-dioxane, 1,1-dichloroethane, and chlorodifluoromethane (HCFC-22). Associations were evaluated with pairwise comparison tests and generalized logistic mixed-effects regression models for six dichotomous outcomes: detection of each of four target contaminants, detection of

resultsMore than 97 million US residents were served by a PWS with detectable levels of 1,4-dioxane (22% of PWSs), HCFC-22 (5.8%), 1,1-dichloroethane (4.7%), and/or PFAS (4.0%). Unregulated contaminant detection was more frequent among large systems, urban systems, and systems using groundwater or a combination of groundwater and surface water. In comparison with PWSs with no detectable levels of these unregulated contaminants, PWSs with detectable levels served counties with higher proportions of Hispanic residents (17% vs. 13%), as did PWSs that exceeded EPA health reference levels in comparison with PWSs with no exceedances (18% vs. 14%). There were persistent positive associations between proportions of Hispanic residents and detections of target contaminants, even after accounting for pollution sources. DISCUSSION: Previously, inequities in exposures to drinking water contaminants were underestimated because prior studies have focused on regulated contaminants. PWSs serving counties with more Hispanic residents, non-Hispanic Black residents, and urban households may benefit from additional resources to proactively mitigate unregulated chemical contamination. Future studies should evaluate factors underlying these disparities to promote actions that protect water quality for all residents. https://doi.org/10.1289/EHP14721.

Indexed as

Drinking WaterEnvironmental ExposureFluorocarbonsWater Pollutants, ChemicalEnvironmental MonitoringHumansSocioeconomic Disparities in HealthSocioeconomic FactorsUnited StatesWater SupplyDrinking WaterFluorocarbonsWater Pollutants, Chemical

Identifiers

PMID39812474
PMCPMC11734612

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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.