Evidence map›Paper›PMID 37683786›Full record

ArticleEnvironmental research2023

Fine particulate matter composition in American Indian vs. Non-American Indian communities.

Maggie Li, Vivian Do, Jada L Brooks, Markus Hilpert, Jeff Goldsmith, Steven N Chillrud, Tauqeer Ali, Lyle G Best, Joseph Yracheta, Jason G Umans and 4 more

Abstract read
In one paragraph

Article in Environmental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Low-Level PMInternational journal of environmental research and public health · 2025
    Article
  3. Long-term effects of PMBMC public health · 2025
    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

14 authors.

Maggie LiDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA. Electronic address: ml4424@cumc.columbia.edu.
Vivian DoDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Jada L BrooksUniversity of North Carolina School of Nursing, Chapel Hill, NC, USA.
Markus HilpertDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Jeff GoldsmithDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Steven N ChillrudLamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA.
Tauqeer AliDepartment of Biostatistics and Epidemiology, Center for American Indian Health Research, Hudson College of Public Health, University of Oklahoma Health Sciences Center, OK, USA.
Lyle G BestMissouri Breaks Industries Research, Inc., Eagle Butte, SD, USA.
Joseph YrachetaNative BioData Consortium, Eagle Butte, SD, USA.
Jason G UmansMedStar Health Research Institute, Hyattsville, MD, USA; Georgetown/Howard Universities Center for Clinical and Translational Sciences, Washington, DC, USA.
Aaron van DonkelaarDepartment of Energy, Environmental and Chemical Engineering, Washington University, St. Louis, MO, USA.
Randall V MartinDepartment of Energy, Environmental and Chemical Engineering, Washington University, St. Louis, MO, USA.
Ana Navas-AcienDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Marianthi-Anna KioumourtzoglouDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
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 MARCIA O'LEARY · 2022 to 2026
$11.9M
Integrating Air Pollution Prediction Models: Uncertainty Quantification and Propagation in Health StudiesR01ES030616 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DOMINICI, FRANCESCA, KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2020 to 2024
$3.1M
Particulate air pollution and effects on cardiovascular health in American Indian communitiesF31ES034645 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, MENGYUAN · 2022 to 2023
$63k
NIEHS NIH HHS F31 ES034645NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES033719NIEHS NIH HHS R01 ES030616NIEHS NIH HHS T32 ES007322
6 · The paper itself

Abstract

backgroundFine particulate matter (PM

methodsWe implemented component-specific linear mixed models to estimate differences in annual county-level concentrations of sulfate, nitrate, ammonium, organic matter, black carbon, and mineral dust from well-validated surface PM

resultsOur final analysis included 3108 counties, with 199 (6.4%) classified as AI-populated. On average across the study period, adjusted concentrations of all six PM

conclusionsThis study indicates time trend differences of specific components by AI-populated county type. Notably, decreases in sulfate and ammonium may contribute to steeper declines in total PM

Indexed as

Air PollutantsIndians, North AmericanParticulate MatterAir PollutionEnvironmental ExposureEnvironmental MonitoringHumansUnited StatesAir PollutantsParticulate MatterAir pollutionAmerican IndianEnvironmental healthEnvironmental justice

Identifiers

PMID37683786
PMCPMC10591960

What OpenQuestion holds

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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.