Evidence map›Paper›PMID 37806474›Full record

ArticleEnvironmental research2023

Environmental exposure disparities in ultrafine particles and PM

Arshad Arjunan Nair, Shao Lin, Gan Luo, Ian Ryan, Quan Qi, Xinlei Deng, Fangqun Yu

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Equity in the Distribution of Regulatory PMEnvironmental science & technology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. 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

7 authors.

Arshad Arjunan NairAtmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY 12226, USA. Electronic address: aanair@albany.edu.
Shao LinDepartment of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY 12144, USA; Department of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY 12144, USA.
Gan LuoAtmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY 12226, USA.
Ian RyanDepartment of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY 12144, USA.
Quan QiDepartment of Economics, University at Albany, State University of New York, Albany, NY 12222, USA.
Xinlei DengDepartment of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY 12144, USA.
Fangqun YuAtmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY 12226, USA. Electronic address: fyu@albany.edu.

Funding

Weather extremes, natural disasters, and health outcomes among vulnerable older adults: New improvements on exposure assessment, disparity identification, and risk communication strategiesR01AG070949 · NIA · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2022 to 2025
$1.6M
NIA NIH HHS R01 AG070949
6 · The paper itself

Abstract

backgroundThe spatiotemporal and demographic disparities in exposure to ultrafine particles (UFP; number concentrations of particulate matter (PM) with diameter ≤0.1 μm), a key subcomponent of fine aerosols (PM

objectiveTo quantify and compare the aerosol pollutant exposure disparities for UFP and PM

methodsAmbient atmospheric UFP and PM

resultsThe average NYS resident was exposed to 4451 #·cm

Indexed as

Air PollutantsAir PollutionAerosolsDemographyEnvironmental ExposureEnvironmental MonitoringNew YorkParticulate MatterAerosolsAir PollutantsParticulate MatterAerosolsAir qualityEnvironmental justiceFine particulate matterPublic health inequalitiesUltrafine particles

Identifiers

PMID37806474
PMCPMC12191151

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.