Evidence map›Paper›PMID 37858688›Full record

ArticleEnvironmental research2024

Traffic-related air pollution and Parkinson's disease in central California.

Dayoon Kwon, Kimberly C Paul, Yu Yu, Keren Zhang, Aline D Folle, Jun Wu, Jeff M Bronstein, Beate Ritz

Abstract read
In one paragraph

Article in Environmental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Differential effects of neighborhood ambient PMInternational journal of health geographics · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Environmental toxins in neurodegeneration - a narrative review.Neurological research and practice · 2025
    Review
  11. Article
  12. Environmental Risk Factors for Parkinson's Disease: A Critical Review and Policy Implications.Movement disorders : official journal of the Movement Disorder Society · 2025
    Review
  13. Article
  14. Review
  15. 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.

Dayoon KwonDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, United States.
Kimberly C PaulDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, United States.
Yu YuDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, United States; UCLA Center for Health Policy Research, University of California, Los Angeles, United States.
Keren ZhangDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, United States.
Aline D FolleDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, United States.
Jun WuDepartment of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, United States.
Jeff M BronsteinDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, United States.
Beate RitzDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, United States; Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, United States. Electronic address: britz@ucla.edu.

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
UCLA CENTER FOR THE STUDY OF PARKINSON'S DISEASEP50NS038367 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHESSELET, MARIE-FRANCOISE S · 1999 to 2011
$15.3M
Center for Gene-Environment Studies in Parkinson DiseaseU54ES012078 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHESSELET, MARIE-FRANCOISE S · 2002 to 2006
$7.1M
Project 4: Pesticides and Genes In PD: Studies In HumansP01ES016732 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2008 to 2012
$6.7M
PARKINSON'S DISEASES SUSCEPTIBILITY GENES AND PESTICIDESR01ES010544 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2000 to 2015
$5.7M
Microbiome, Pesticides and Parkinsons in LatinosR01ES031106 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2020 to 2025
$3.8M
NIEHS NIH HHS P01 ES016732NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R01 ES010544NIEHS NIH HHS R01 ES031106NIEHS NIH HHS U54 ES012078NINDS NIH HHS P50 NS038367
6 · The paper itself

Abstract

backgroundPrior studies suggested that air pollution exposure may increase the risk of Parkinson's Disease (PD). We investigated the long-term impacts of traffic-related and multiple sources of particulate air pollution on PD in central California.

methodsOur case-control analysis included 761 PD patients and 910 population controls. We assessed exposure at residential and occupational locations from 1981 to 2016, estimating annual average carbon monoxide (CO) concentrations - a traffic pollution marker - based on the California Line Source Dispersion Model, version 4. Additionally, particulate matter (PM

resultsTraffic-related CO was associated with an increased odds ratio for PD at residences (OR for T3 vs. T1: 1.58; 95% CI: 1.20, 2.10; p-trend = 0.02) and workplaces (OR for T3 vs. T1: 1.91; 95% CI: 1.22, 3.00; p-trend <0.01). PM

conclusionWe found that long-term modeled exposure to local traffic-related air pollution (CO) and fine particulates from multiple sources (PM

Indexed as

Air PollutantsAir PollutionParkinson DiseaseTraffic-Related PollutionCaliforniaDustEnvironmental ExposureHumansParticulate MatterAir PollutantsDustParticulate MatterAir pollutionCase-control studyLong-term exposureParkinson's disease

Identifiers

PMID37858688
PMCPMC11232690

What OpenQuestion holds

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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.