Evidence map›Paper›PMID 33991916›Full record

ArticleThe Science of the total environment2021

Associations between private well water and community water supply arsenic concentrations in the conterminous United States.

Maya Spaur, Melissa A Lombard, Joseph D Ayotte, David E Harvey, Benjamin C Bostick, Steven N Chillrud, Ana Navas-Acien, Anne E Nigra

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.9field-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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Identifying differences in U.S. exposure to ubiquitous carcinogens.International journal of hygiene and environmental health · 2025
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  14. US drinking water quality: exposure risk profiles for seven legacy and emerging contaminants.Journal of exposure science & environmental epidemiology · 2024
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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

8 authors at 4 institutions in 1 country.

Maya SpaurDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA. Electronic address: mss2284@cumc.columbia.edu.
Melissa A LombardU.S. Geological Survey, New England Water Science Center, Pembroke, NH, USA.
Joseph D AyotteU.S. Geological Survey, New England Water Science Center, Pembroke, NH, USA.
David E HarveyU.S. Public Health Service, Commissioned Corps, Rockville, MD, USA.
Benjamin C BostickLamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA.
Steven N ChillrudLamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA.
Ana Navas-AcienDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Anne E NigraDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Columbia University · USNew England Water Science CenterLamont-Doherty Earth Observatory · 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
NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349NIEHS NIH HHS T32 ES007322
6 · The paper itself

Abstract

Geogenic arsenic contamination typically occurs in groundwater as opposed to surface water supplies. Groundwater is a major source for many community water systems (CWSs) in the United States (US). Although the US Environmental Protection Agency sets the maximum contaminant level (MCL enforceable since 2006: 10 μg/L) for arsenic in CWSs, private wells are not federally regulated. We evaluated county-level associations between modeled values of the probability of private well arsenic exceeding 10 μg/L and CWS arsenic concentrations for 2231 counties in the conterminous US, using time invariant private well arsenic estimates and CWS arsenic estimates for two time periods. Nationwide, county-level CWS arsenic concentrations increased by 8.4 μg/L per 100% increase in the probability of private well arsenic exceeding 10 μg/L for 2006-2008 (the initial compliance monitoring period after MCL implementation), and by 7.3 μg/L for 2009-2011 (the second monitoring period following MCL implementation) (1.1 μg/L mean decline over time). Regional differences in this temporal decline suggest that interventions to implement the MCL were more pronounced in regions served primarily by groundwater. The strong association between private well and CWS arsenic in Rural, American Indian, and Semi Urban, Hispanic counties suggests that future research and regulatory support are needed to reduce water arsenic exposures in these vulnerable subpopulations. This comparison of arsenic exposure values from major private and public drinking water sources nationwide is critical to future assessments of drinking water arsenic exposure and health outcomes.

Indexed as

ArsenicDrinking WaterGroundwaterWater Pollutants, ChemicalEnvironmental MonitoringUnited StatesWater SupplyWater WellsArsenicDrinking WaterWater Pollutants, ChemicalArsenicDrinking waterEnvironment and Public HealthWater pollution

Identifiers

PMID33991916
PMCPMC8192485
OpenAlexW3158150920

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.