Evidence map›Paper›PMID 41849246›Full record

ArticleEpidemiology (Cambridge, Mass.)2026

Temporal Variation in the Association Between Short-term Exposure to Fine Particulate Matter and Mortality Across Subpopulations in North Carolina and Michigan, U.S.

Rory K Stewart, Honghyok Kim, Yimeng Song, Hayon Michelle Choi, Chen Chen, Yongsoo Choi, Michelle L Bell

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rory K StewartFrom the School of the Environment, Yale University, New Haven, CT.ORCID 0000-0001-9807-2202
Honghyok KimSchool of Public Health, University of Illinois Chicago, Chicago, IL.
Yimeng SongFrom the School of the Environment, Yale University, New Haven, CT.
Hayon Michelle ChoiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA.
Chen ChenScripps Institution of Oceanography, University of California San Diego, La Jolla, CA.
Yongsoo ChoiFrom the School of the Environment, Yale University, New Haven, CT.
Michelle L BellFrom the School of the Environment, Yale University, New Haven, CT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing evidence suggests that the health impacts of a given increment of fine particulate matter (PM 2.5 ) are changing over time. While these trends could influence environmental health disparities, how temporal trends vary across locations and subpopulations remains unknown. Using case-crossover analyses, we analyzed how PM 2.5 -mortality associations varied over time (2001-2016) in two U.S. states (North Carolina and Michigan) among persons 65+ years of age. We further characterized temporal variation in the PM 2.5 -mortality association by sociodemographic variables including age, sex, race/ethnicity, educational attainment, urbanicity, and substate region. From the 2001-2008 study period to the 2009-2016 study period, the odds of mortality per 10 μg/m 3 PM 2.5 decreased by 0.77% in North Carolina but increased by 0.28% in Michigan. Using a nonlinear temporal model, the associations between PM 2.5 concentration and mortality were variable over time in North Carolina and steadily increased over time in Michigan. We also found suggestive evidence of widening disparities in PM 2.5 -mortality odds ratios over time. For example, PM 2.5 -mortality odds in Michigan increased more dramatically for non-Hispanic black (1.71% [-1.17, 4.67%]) than for non-Hispanic white (0.14% [95% confidence interval (CI) = -0.93, 1.22%]) subpopulations. In North Carolina, these groups experienced a 0.40% (-3.56, 2.85%) and 0.96% (-2.52, 0.62%) reduction in PM 2.5 -mortality, respectively. Our results suggest that PM 2.5 -related mortality impacts may be changing over time, with different trends by location and subpopulation, potentially exacerbating environmental injustice.

Indexed as

Air PollutantsEnvironmental ExposureMortalityParticulate MatterAgedFemaleHumansMaleMichiganNorth CarolinaTime FactorsAir PollutantsParticulate MatterFine particulate matterMortalityTemporal trendVulnerable subpopulation

Identifiers

PMID41849246
PMCPMC13218584

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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.