Evidence map›Paper›PMID 41480033›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Air pollution exposure among people with limitations in activities of daily living in the United States.

Heather McBrien, Maddie Taylor, Marissa L Childs, Lara Schwarz, Katherine Wolf, Marianthi-Anna Kioumourtzoglou, Rachel Morello-Frosch, Joan A Casey

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Heather McBrienColumbia Mailman School of Public Health Department of Environmental Health Sciences.
Maddie TaylorUniversity of California Berkeley Department of Environmental Science, Policy, and Management.
Marissa L ChildsUniversity of Washington School of Public Health Department of Environmental and Occupational Health Sciences.
Lara SchwarzUniversity of California Berkeley School of Public Health Department of Environmental Health Sciences.
Katherine WolfUniversity of California Berkeley Department of Environmental Science, Policy, and Management.
Marianthi-Anna KioumourtzoglouColumbia Mailman School of Public Health Department of Environmental Health Sciences.
Rachel Morello-FroschUniversity of California Berkeley Department of Environmental Science, Policy, and Management.ORCID 0000-0003-1153-7287
Joan A CaseyUniversity of Washington School of Public Health Department of Environmental and Occupational Health Sciences.ORCID 0000-0002-9809-4695

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Steven N. Chillrud · 1998 to 2026
$44.7M
XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Nicole Ann Errett · 1995 to 2026
$42.5M
NIEHS NIH HHS P30 ES007033NIEHS NIH HHS P30 ES009089
6 · The paper itself

Abstract

Structural barriers including limited healthcare access and disability-related health conditions make disabled people differentially susceptible to air pollution-related adverse health outcomes compared to nondisabled people. We used 2020 census-tract level counts of individuals with limitations in activities of daily living (ADLs) to identify a subset of disabled people. We described geographic areas where this population was highly exposed to air pollution in the contiguous U.S., indicsating health risk. We assessed census tract-level exposure to PM

Identifiers

PMID41480033
PMCPMC12755258

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.