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. 2016 Jan;124(1):23-9.
doi: 10.1289/ehp.1408973. Epub 2015 May 15.

Long-term PM2.5 Exposure and Neurological Hospital Admissions in the Northeastern United States

Affiliations

Long-term PM2.5 Exposure and Neurological Hospital Admissions in the Northeastern United States

Marianthi-Anna Kioumourtzoglou et al. Environ Health Perspect. 2016 Jan.

Abstract

Background: Long-term exposure to fine particles (particulate matter ≤ 2.5 μm; PM2.5) has been consistently linked to heart and lung disease. Recently, there has been increased interest in examining the effects of air pollution on the nervous system, with evidence showing potentially harmful effects on neurodegeneration.

Objective: Our objective was to assess the potential impact of long-term PM2.5 exposure on event time, defined as time to first admission for dementia, Alzheimer's (AD), or Parkinson's (PD) diseases in an elderly population across the northeastern United States.

Methods: We estimated the effects of PM2.5 on first hospital admission for dementia, AD, and PD among all Medicare enrollees ≥ 65 years in 50 northeastern U.S. cities (1999-2010). For each outcome, we first ran a Cox proportional hazards model for each city, adjusting for prior cardiopulmonary-related hospitalizations and year, and stratified by follow-up time, age, sex, and race. We then pooled the city-specific estimates by employing a random effects meta-regression.

Results: We followed approximately 9.8 million subjects and observed significant associations of long-term PM2.5 city-wide exposure with all three outcomes. Specifically, we estimated a hazard ratio (HR) of 1.08 (95% CI: 1.05, 1.11) for dementia, an HR of 1.15 (95% CI: 1.11, 1.19) for AD, and an HR of 1.08 (95% CI: 1.04, 1.12) for PD admissions per 1-μg/m3 increase in annual PM2.5 concentrations.

Conclusions: To our knowledge, this is the first study to examine the relationship between long-term exposure to PM2.5 and time to first hospitalization for common neurodegenerative diseases. We found strong evidence of association for all three outcomes. Our findings provide the basis for further studies, as the implications of such exposures could be crucial to public health.

Citation: Kioumourtzoglou MA, Schwartz JD, Weisskopf MG, Melly SJ, Wang Y, Dominici F, Zanobetti A. 2016. Long-term PM2.5 exposure and neurological hospital admissions in the northeastern United States. Environ Health Perspect 124:23-29; http://dx.doi.org/10.1289/ehp.1408973.

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Conflict of interest statement

The contents of this publication are solely the responsibility of the grantees and do not necessarily represent the official views of the U.S. EPA. Further, the U.S. EPA does not endorse the purchase of any commercial products or services mentioned in the publication. The authors declare they have no actual or potential competing financial interests.

Figures

Figure 1
Figure 1
Map of the 50 cities included in our analyses. The size of the circles represents the size of the population ≥ 65 years living in each city (U.S. Census Bureau 2000) and the color indicates the average PM2.5 concentrations (μg/m3).
Figure 2
Figure 2
City-specific PM2.5 effect estimates on PD admissions, presented as log(HR) (95% CI) per 1-μg/m3 increase in PM2.5. PD, Parkinson’s disease. The size of the symbol used for the effect estimate is proportional to its precision.
Figure 3
Figure 3
City-specific PM2.5 effect estimates on AD admissions, presented as log(HR) (95% CI) per 1-μg/m3 increase in PM2.5. AD, Alzheimer’s disease. The size of the symbol used for the effect estimate is proportional to its precision.
Figure 4
Figure 4
City-specific PM2.5 effect estimates on dementia admissions, presented as log(HR) (95% CI) per 1-μg/m3 increase in PM2.5. The size of the symbol used for the effect estimate is proportional to its precision.

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