Evidence map›Paper›PMID 39630448›Full record

ArticleJAMA network open2024

Racial and Ethnic Disparities in Regulatory Air Quality Monitor Locations in the US.

Brenna C Kelly, Thomas J Cova, Michelle P Debbink, Tracy Onega, Simon C Brewer

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Disparities in fine particulate matter (PMEnvironmental research, health : ERH · 2026
    Article
  2. PurpleAir Sensor Deployment Trends and Uncertainties.Sensors (Basel, Switzerland) · 2026
    Article
  3. Equity in the Distribution of Regulatory PMEnvironmental science & technology · 2025
    Article
  4. Metabolomic evaluation of air pollution-related bone damage and potential mediation in Women's Health Initiative participants.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Article
  5. Identifying air quality monitoring deserts in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. 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

5 authors.

Brenna C KellyDepartment of Population Health Sciences, University of Utah, Salt Lake City.
Thomas J CovaSchool of Environment, Society and Sustainability, University of Utah, Salt Lake City.
Michelle P DebbinkDepartment of Population Health Sciences, University of Utah, Salt Lake City.
Tracy OnegaDepartment of Population Health Sciences, University of Utah, Salt Lake City.
Simon C BrewerSchool of Environment, Society and Sustainability, University of Utah, Salt Lake City.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Understanding exposure to air pollution is important to public health, and disparities in the spatial distribution of regulatory air quality monitors could lead to exposure misclassification bias. Objective: To determine whether racial and ethnic disparities exist in Environmental Protection Agency (EPA) regulatory air quality monitor locations in the US. Design, Setting, and Participants: This national cross-sectional study included air quality monitors in the EPA Air Quality System regulatory monitoring repository, as well as 2022 American Community Survey Census block group estimates for racial and ethnic composition and population size. Bayesian mixed-effects models of the count of criteria pollutant monitors measuring an area were used, adjusting for population size and accounting for spatial autocorrelation. Data were analyzed from March to June 2024. Exposure: Census block group-level racial and ethnic composition. Main Outcome and Measures: Number of regulatory monitors measuring a census block group by criteria pollutant (particulate matter [PM], ozone [O3], nitrogen dioxide [NO2], sulfur dioxide [SO2], lead [Pb], and carbon monoxide [CO]). Results: This analysis included 329 725 481 individuals living in 237 631 block groups in the US (1 936 842 [0.6%] American Indian and Alaska Native, 18 554 697 [5.6%] Asian, 40 196 302 [12.2%] Black, 60 806 969 [18.4%] Hispanic, 555 712 [0.2%] Native Hawaiian and Other Pacific Islander, 196 010 370 [59.4%] White, 1 208 267 [0.3%] some other race, and 10 456 322 [0.4%] 2 or more races). Adjusting for population size, monitoring disparities were identified for each criteria pollutant. Relative to the White non-Latino population, all groups were associated with fewer NO2, O3, Pb, and PM monitors. Disparities were consistently largest for Native Hawaiian and Other Pacific Islander populations, followed by American Indian and Alaska Native populations and those of 2 or more races. An increase in percentage of Native Hawaiian and Other Pacific Islander race was associated with fewer monitors for SO2 (adjusted odds ratio [aOR], 0.91; 95% BCI, 0.90-0.91), CO (aOR, 0.95; 95% BCI, 0.94-0.95), O3 (aOR, 0.95; 95% BCI, 0.94-0.95), NO2 (aOR, 0.97; 95% BCI, 0.91-0.94), and PM (aOR, 0.96; 95% BCI, 0.95-0.96). An increase in the percentage of those of Asian race was associated with slightly more SO2 (aOR, 1.04; 95% BCI, 1.03-1.04) monitors. Conclusions and Relevance: This cross-sectional study of racial and ethnic disparities in the location of EPA regulatory monitors determined that data may not be equitably representative of air quality, particularly for areas with predominantly Native Hawaiian and Other Pacific Islander or American Indian or Alaska Native populations. Integration of multiple data sources may aid in filling monitoring gaps across race and ethnicity. Where possible, researchers should quantify uncertainty in exposure estimates.

Indexed as

Air PollutantsAir PollutionEnvironmental MonitoringCross-Sectional StudiesEnvironmental ExposureEthnicityHumansNitrogen DioxideOzoneParticulate MatterRacial GroupsSulfur DioxideUnited StatesUnited States Environmental Protection AgencyAir PollutantsNitrogen DioxideOzoneParticulate MatterSulfur Dioxide

Identifiers

PMID39630448
PMCPMC11618472

What OpenQuestion holds

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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.