Evidence map›Paper›PMID 42133313›Full record

ArticleJAMA network open2026

Exposure to Air Pollutants and Lewy Body and Parkinson Disease-Related Dementias.

Dimitry S Davydow, Gregory M Pontone, Michael S Okun, Melissa J Armstrong, Theresa Wimberley Böttger, Camila Geels, Lise Marie Frohn, Jørgen Brandt, Julie Werenberg Dreier, Jakob Christensen and 2 more

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

12 authors.

Dimitry S DavydowDepartment of Psychiatry, University of Florida College of Medicine, Gainesville.
Gregory M PontoneDepartment of Neurology, University of Florida College of Medicine, Gainesville.
Michael S OkunDepartment of Neurology, University of Florida College of Medicine, Gainesville.
Melissa J ArmstrongDepartment of Neurology, University of Florida College of Medicine, Gainesville.
Theresa Wimberley BöttgerNational Centre for Register-based Research and the Centre for Integrated Register-based Research, Aarhus, Denmark.
Camila GeelsDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.
Lise Marie FrohnDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.
Jørgen BrandtDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.
Julie Werenberg DreierNational Centre for Register-based Research and the Centre for Integrated Register-based Research, Aarhus, Denmark.
Jakob ChristensenDepartment of Clinical Medicine, Aarhus University, Aarhus Denmark.
Carsten Bøcker PedersenNational Centre for Register-based Research and the Centre for Integrated Register-based Research, Aarhus, Denmark.
Henriette Thisted HorsdalNational Centre for Register-based Research and the Centre for Integrated Register-based Research, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Evidence on the association of exposure to ambient particulate matter with a diameter less than 2.5 µm (PM2.5) and nitrogen dioxide (NO2) and the later development of dementia with Lewy bodies (DLB) or Parkinson disease-related dementia (PDD) is limited. Objective: To determine whether exposures to ambient PM2.5 or NO2 are associated with risk of incident DLB or PDD. Design, Setting, and Participants: This population-based case-control study used linked Danish nationwide registry data to identify individuals with DLB and PDD diagnosed between January 1, 2001, through December 31, 2021. Each individual with dementia was matched with 10 controls on age, sex, and time. Data were analyzed from June 2025 through February 2026. Exposures: A 10-year time-weighted mean concentration of PM2.5 or NO2 prior to DLB or PDD diagnosis. Main Outcomes and Measures: A conditional logistic regression model was used to examine the associations of exposure to PM2.5 or NO2 with risk of DLB or PDD. The models were sequentially adjusted for age, sex, and calendar period, then individual-level socioeconomic characteristics, then medical and psychiatric comorbidity, and finally area-level socioeconomic factors. Results: Among 2 184 847 Danish citizens aged between 65 and 95 years, there were 3024 individuals with DLB (mean [SD] age, 78 [6], 1894 [62.6%] male) and 3808 with PDD (mean [SD] age, 78 [6], 2400 [63.0%] male) who were matched with 30 240 and 38 080 controls, respectively. PM2.5 and NO2 exposure were each associated with increased risk of DLB or PDD after controlling for age, sex, and calendar period. In fully adjusted models, each 5 µg/m3 increase in PM2.5 exposure was associated with nearly 4-fold greater risk of DLB (adjusted odds ratio [aOR], 3.70; 95% CI, 2.69-5.10) and more than 2-fold greater risk of PDD (aOR, 2.41; 95% CI, 1.88-3.08), while each 10 µg/m3 increase in NO2 exposure was associated with 95% greater risk of DLB (aOR, 1.95; 95% CI, 1.69-2.27) and 14% greater risk of PDD (aOR, 1.14; 95% CI, 1.01-1.29). Conclusions and Relevance: In this case-control study, exposures to ambient PM2.5 or NO2 were each associated with increased risks of DLB and PDD, with a greater magnitude of association for risk of DLB. These findings warrant concern about the impact of air pollution on brain health.

Indexed as

Air PollutantsDementiaEnvironmental ExposureLewy Body DiseaseParkinson DiseaseParticulate MatterAgedAged, 80 and overCase-Control StudiesDenmarkFemaleHumansMaleNitrogen DioxideRisk FactorsAir PollutantsNitrogen DioxideParticulate Matter

Identifiers

PMID42133313
PMCPMC13177031

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.