Evidence map›Paper›PMID 33295795›Full record

ArticleEnvironmental health perspectives2020

Inequalities in Public Water Arsenic Concentrations in Counties and Community Water Systems across the United States, 2006-2011.

Anne E Nigra, Qixuan Chen, Steven N Chillrud, Lili Wang, David Harvey, Brian Mailloux, Pam Factor-Litvak, Ana Navas-Acien

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Article
  10. Single-Cell Multiome Impact of Prenatal Heavy Metal Exposure on Early Airway Development.American journal of respiratory cell and molecular biology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Identifying differences in U.S. exposure to ubiquitous carcinogens.International journal of hygiene and environmental health · 2025
    Article
  15. Observational
  16. Article
  17. Article
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  20. Article

3 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 1 country.

Anne E NigraDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.
Qixuan ChenDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, New York, USA.
Steven N ChillrudLamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA.
Lili WangOffice of Water, U.S. Environmental Protection Agency, Washington, DC, USA.
David HarveyUnited States Public Health Service, Rockville, Maryland, USA.
Brian MaillouxLamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA.
Pam Factor-LitvakDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.
Ana Navas-AcienDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.
Columbia University · USLamont-Doherty Earth Observatory · USEnvironmental Protection Agency · USUnited States Public Health Service · US

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
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
Low-level Arsenic Exposure and Cardiovascular Disease in Multi-Ethnic Adults (MESA As)R01ES028758 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2018 to 2022
$3.6M
Bayesian exposure-response analysis for immunoassays data with measurement errorsR21ES029668 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHEN, QIXUAN · 2019 to 2020
$417k
Arsenic Exposure in US Drinking Water: Spatial Patterns, Temporal Trends, and Related MortalitiesF31ES029799 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NIGRA, ANNE E · 2018 to 2019
$59k
NIEHS NIH HHS F31 ES029799NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349NIEHS NIH HHS R01 ES028758NIEHS NIH HHS R21 ES029668NIEHS NIH HHS T32 ES007322
6 · The paper itself

Abstract

backgroundIn the United States, nationwide estimates of public drinking water arsenic exposure are not readily available. We used the U.S. Environmental Protection Agency's (EPA) Six-Year Review contaminant occurrence data set to estimate public water arsenic exposure. We compared community water system (CWS) arsenic concentrations during 2006-2008 vs. after 2009-2011, the initial monitoring period for compliance with the U.S. EPA's

objectiveOur objective was to characterize potential inequalities in CWS arsenic exposure over time and across sociodemographic subgroups.

methodsWe estimated 3-y average arsenic concentrations for 36,406 CWSs (98%) and 2,740 counties (87%) and compared differences in means and quantiles of water arsenic (via quantile regression) between both 3-y periods for U.S. regions and sociodemographic subgroups. We assigned CWSs and counties MCL compliance categories (High if above the MCL; Low if below) for each 3-y period.

resultsFrom 2006-2008 to 2009-2011, mean and 95th percentile CWS arsenic (in micrograms per liter) declined by 10.3% (95% CI: 6.5%, 14.1%) and 11.5% (8.3%, 14.8%) nationwide, by 11.4% (4.7%, 18.1%) and 16.3% (8.1%, 24.5%) for the Southwest, and by 36.8% (7.4%, 66.1%) and 26.5% (12.1%, 40.8%) for New England, respectively. CWSs in the High/High compliance category (not MCL compliant) were more likely in the Southwest (61.1%), served by groundwater (94.7%), serving smaller populations (mean 1,102 persons), and serving Hispanic communities (38.3%). DISCUSSION: Larger absolute declines in CWS arsenic concentrations at higher water arsenic quantiles indicate declines are related to MCL implementation. CWSs reliant on groundwater, serving smaller populations, located in the Southwest, and serving Hispanic communities were more likely to continue exceeding the arsenic MCL, raising environmental justice concerns. These estimates of public drinking water arsenic exposure can enable further surveillance and epidemiologic research, including assessing whether differential declines in water arsenic exposure resulted in differential declines in arsenic-associated disease. https://doi.org/10.1289/EHP7313.

Indexed as

ArsenicEnvironmental ExposureGroundwaterSocioeconomic FactorsUnited StatesWater Pollutants, ChemicalWater Pollution, ChemicalWater SupplyArsenicWater Pollutants, Chemical

Identifiers

PMID33295795
PMCPMC7724967
OpenAlexW3111155009

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.