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- W4367302571 abstract "<h3>Objective:</h3> To identify the national geographic patterns of Parkinson disease (PD) and test for nationwide and region-specific associations with PM<sub>2.5</sub>. <h3>Background:</h3> Numerous studies suggest that environmental exposures play a critical role in PD pathogenesis. Large population-based discovery studies have the potential to identify novel PD risk factors. Medicare is the only population-based national healthcare system in the U.S. making it ideal for nationwide geographic studies of PD risk factors. <h3>Design/Methods:</h3> We conducted a population-based geographic study of 22,546,965 Medicare beneficiaries and identified 83,674 with incident PD in 2009. Beneficiaries were geocoded to county and zip+4 of residence in the contiguous U.S. We used a multimethod approach that included R-INLA to create age, sex, race, smoking, and healthcare utilization adjusted relative risk (RR) for county-level regression and geographical analyses with PM<sub>2.5</sub> as the exposure of interest. To supplement these findings, we performed an individual-level case-control analysis using logistic regression to verify county-level PM<sub>2.5</sub> results. <h3>Results:</h3> We identified a PD hot spot in the Mississippi-Ohio River Valley and found a nationwide association between incident PD and average annual PM<sub>2.5</sub>, whereby the RR for PD increased by 25% (95% CI 23%, 26%) when comparing the lowest to the highest quartile of PM<sub>2.5</sub>. The strongest association between PM<sub>2.5</sub> and PD was found in the Rocky Mountain Region. PM<sub>2.5</sub> was also associated with PD in the Mississippi-Ohio river valley where the association was weaker, due to an apparent ceiling effect at ~12 to 19μg/m<sup>3</sup> of PM<sub>2.5</sub>. Individual-level results confirmed that PD increased by 25% (95% CI 20%, 29%) when comparing the lowest to the highest decile of PM<sub>2.5</sub>. <h3>Conclusions:</h3> Using state-of-the-art geospatial analytical techniques, we identified a nationwide association between PD and PM<sub>2.5</sub>, which varied in strength by region. A deeper investigation into the specific subfractions of PM<sub>2.5</sub> may provide insight into regional variability in the PM2.5-PD association. <b>Disclosure:</b> Dr. Krzyzanowski has nothing to disclose. The institution of Dr. Nielsen has received research support from National Institutes of Health. The institution of Dr. Nielsen has received research support from Department of Defense. The institution of Dr. Nielsen has received research support from The Michael J. Fox Foundation for Parkinson’s Research. The institution of Dr. Nielsen has received research support from Cure AD. The institution of Dr. Nielsen has received research support from Washington University in St. Louis. Dr. Nielsen has received intellectual property interests from a discovery or technology relating to health care. Dr. Racette has received personal compensation in the range of $5,000-$9,999 for serving as a Consultant for American Regent. Dr. Racette has received personal compensation in the range of $500-$4,999 for serving as a advisory council with NIEHS." @default.
- W4367302571 created "2023-04-29" @default.
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- W4367302571 date "2023-04-25" @default.
- W4367302571 modified "2023-09-26" @default.
- W4367302571 title "PM2.5 and Parkinson Disease Risk in Medicare Beneficiaries (S19.003)" @default.
- W4367302571 doi "https://doi.org/10.1212/wnl.0000000000203899" @default.
- W4367302571 hasPublicationYear "2023" @default.
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