Exposure to Air Pollutants and Lewy Body and Parkinson Disease–Related Dementias

Importance Evidence on the association of exposure to ambient particulate matter with a diameter less than 2.5 µm (PM 2.5 ) and nitrogen dioxide ( NO 2 ) 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 PM 2.5 or NO 2 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 PM 2.5 or NO 2 prior to DLB or PDD diagnosis. Main Outcomes and Measures A conditional logistic regression model was used to examine the associations of exposure to PM 2.5 or NO 2 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. PM 2.5 and NO 2 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/m 3 increase in PM 2.5 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/m 3 increase in NO 2 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 PM 2.5 or NO 2 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.

Authors

Institutions

Publication Details

Journal
JAMA Network Open
Published
2026-05-14
DOI
https://doi.org/10.1001/jamanetworkopen.2026.12601
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exposure to Air Pollutants and Lewy Body and Parkinson Disease–Related Dementias

Julie Werenberg Dreier, C Geels, Henriette Thisted Horsdal, Jakob Christensen et al.
JAMA Network Open
Air Quality and Health Impacts
article

Exposure to Air Pollutants and Lewy Body and Parkinson Disease–Related Dementias

Julie Werenberg Dreier, C Geels, Henriette Thisted Horsdal, Jakob Christensen, Gregory M. Pontone, Michael S. Okun, Lise Marie Frohn, Melissa J. Armstrong, Dimitry S. Davydow, Jørgen Brandt, Theresa Wimberley Böttger, Carsten Bøcker Pedersen
article en

Abstract

Importance Evidence on the association of exposure to ambient particulate matter with a diameter less than 2.5 µm (PM 2.5 ) and nitrogen dioxide ( NO 2 ) 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 PM 2.5 or NO 2 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 PM 2.5 or NO 2 prior to DLB or PDD diagnosis. Main Outcomes and Measures A conditional logistic regression model was used to examine the associations of exposure to PM 2.5 or NO 2 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. PM 2.5 and NO 2 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/m 3 increase in PM 2.5 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/m 3 increase in NO 2 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 PM 2.5 or NO 2 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.

JAMA Network OpenVol. 9(5)
Aarhus University (DK), Aarhus University Hospital (DK), University of Florida (US), Centre of Registers Vastra Gotaland (SE), Florida College (US)
Openalex Percentile: Top 5%
Air Quality and Health Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.