Evidence map›Paper›PMID 35397220›Full record

ArticleThe Lancet. Planetary health2022

Sociodemographic inequalities in uranium and other metals in community water systems across the USA, 2006-11: a cross-sectional study.

Filippo Ravalli, Yuanzhi Yu, Benjamin C Bostick, Steven N Chillrud, Kathrin Schilling, Anirban Basu, Ana Navas-Acien, Anne E Nigra

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Planetary health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
5.1field-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

45 citing papers in PubMed, 50 citations in OpenAlex.

  1. Uranium Isotopes: From Geosciences to Biomedical Sciences.Current environmental health reports · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Associations Between Perceived Tap Water Safety and Dietary Outcomes Among US Adults.Journal of the Academy of Nutrition and Dietetics · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Identifying differences in U.S. exposure to ubiquitous carcinogens.International journal of hygiene and environmental health · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Geographic and dietary differences of urinary uranium levels in the Strong Heart Family Study.Journal of exposure science & environmental epidemiology · 2025
    Article
  20. Article
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 2 institutions in 1 country.

Filippo RavalliDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Yuanzhi YuDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, 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.
Kathrin SchillingDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA; Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA.
Anirban BasuDepartment of Earth Sciences, Royal Halloway, University of London, Surrey, UK.
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. Electronic address: aen2136@cumc.columbia.edu.
Columbia University · USLamont-Doherty Earth Observatory · 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
Research Experience and Training Coordination CoreP42ES033719 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ana Navas-Acien · 2022 to 2026
$11.9M
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
Public Drinking Water Contaminants and Infant Health: Advancing Environmental JusticeDP5OD031849 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NIGRA, ANNE E · 2021 to 2025
$2.0M
Bayesian exposure-response analysis for immunoassays data with measurement errorsR21ES029668 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHEN, QIXUAN · 2019 to 2020
$417k
NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349NIEHS NIH HHS P42 ES033719NIEHS NIH HHS R01 ES028758NIEHS NIH HHS R21 ES029668NIEHS NIH HHS T32 ES007322NIH HHS DP5 OD031849
6 · The paper itself

Abstract

backgroundThe US Environmental Protection Agency (EPA) currently sets maximum contaminant levels (MCLs) for ten metals or metalloids in public drinking water systems. Our objective was to estimate metal concentrations in community water systems (CWSs) across the USA, to establish if sociodemographic or regional inequalities in the metal concentrations exist, and to identify patterns of concentrations for these metals as a mixture.

methodsWe evaluated routine compliance monitoring records for antimony, arsenic, barium, beryllium, cadmium, chromium, mercury, selenium, thallium, and uranium, collected from 2006-11 (2000-11 for uranium; timeframe based on compliance monitoring requirements) by the US EPA in support of their second and third Six-Year Reviews for CWSs. Arsenic, barium, chromium, selenium, and uranium (detectable in >10% records) were included in the main analyses (subgroup and metal mixture analyses; arsenic data reported previously). We compared the mean, 75th percentile, and 95th percentile contaminant concentrations and the percentage of CWSs with concentrations exceeding the MCL across subgroups (region, sociodemographic county-cluster, size of population served, source water type, and CWSs exclusively serving correctional facilities). We evaluated patterns in CWS metal concentration estimate profiles via hierarchical cluster analysis. We created an online interactive map and dashboard of estimated CWS metal concentrations for use in future analyses.

findingsAverage metal concentrations were available for a total of 37 915 CWSs across the USA. The total number of monitoring records available was approximately 297 000 for arsenic, 165 000 for barium, 167 000 for chromium, 165 000 for selenium, and 128 000 for uranium. The percentage of analysed CWSs with average concentrations exceeding the MCL was 2·6% for arsenic (MCL=10 μg/L; nationwide mean 1·77 μg/L; n=36 798 CWSs), 2·1% for uranium (MCL=30 μg/L; nationwide mean 4·37 μg/L; n=14 503 CWSs), and less than 0·1% for the other metals. The number of records with detections was highest for uranium (63·1%). 75th and 95th percentile concentrations for uranium, chromium, barium, and selenium were highest for CWSs serving Semi-Urban, Hispanic communities, CWSs reliant on groundwater, and CWSs in the Central Midwest. Hierarchical cluster analysis revealed two distinct clusters: an arsenic-uranium-selenium cluster and a barium-chromium cluster. INTERPRETATIONS: Uranium is an under-recognised contaminant in CWSs. Metal concentrations (including uranium) are elevated in CWSs serving Semi-Urban, Hispanic communities independent of location or region, highlighting environmental justice concerns.

fundingUS National Institutes of Health Office of the Director, US National Institutes for Environmental Health Sciences, and US National Institute of Dental and Craniofacial Research.

Indexed as

ArsenicSeleniumUraniumWater Pollutants, ChemicalBariumChromiumCross-Sectional StudiesWaterArsenicBariumChromiumSeleniumUraniumWaterWater Pollutants, Chemical

Identifiers

PMID35397220
PMCPMC9037820
OpenAlexW4223622312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.