Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States

Author:

Shi Liuhua1ORCID,Zhu Qiao1ORCID,Wang Yifan1,Hao Hua1,Zhang Haisu1,Schwartz Joel23ORCID,Amini Heresh4,van Donkelaar Aaron5ORCID,Martin Randall V.5ORCID,Steenland Kyle1,Sarnat Jeremy A.1ORCID,Caudle W. Michael1,Ma Tszshan1,Li Haomin1ORCID,Chang Howard H.6,Liu Jeremiah Z.7ORCID,Wingo Thomas8ORCID,Mao Xiaobo9ORCID,Russell Armistead G.10ORCID,Weber Rodney J.11ORCID,Liu Pengfei11

Affiliation:

1. Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322

2. Department of Environmental Health, Harvard Chan School of Public Health, Boston, MA 02115

3. Department of Epidemiology, Harvard Chan School of Public Health, Boston, MA 02115

4. Department of Public Health, Section of Environmental Health, University of Copenhagen, Copenhagen, Denmark 1014

5. Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, MO 63130

6. Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322

7. Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA 02115

8. Department of Neurology and Human Genetics, School of Medicine, Emory University, Atlanta, GA 30322

9. Department of Neurology, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205

10. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30318

11. School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30318

Abstract

Growing evidence suggests that fine particulate matter (PM 2.5 ) likely increases the risks of dementia, yet little is known about the relative contributions of different constituents. Here, we conducted a nationwide population-based cohort study (2000 to 2017) by integrating the Medicare Chronic Conditions Warehouse database and two independently sourced datasets of high-resolution PM 2.5 major chemical composition, including black carbon (BC), organic matter (OM), nitrate (NO 3 ), sulfate (SO 4 2− ), ammonium (NH 4 + ), and soil dust (DUST). To investigate the impact of long-term exposure to PM 2.5 constituents on incident all-cause dementia and Alzheimer’s disease (AD), hazard ratios for dementia and AD were estimated using Cox proportional hazards models, and penalized splines were used to evaluate potential nonlinear concentration–response (C-R) relationships. Results using two exposure datasets consistently indicated higher rates of incident dementia and AD for an increased exposure to PM 2.5 and its major constituents. An interquartile range increase in PM 2.5 mass was associated with a 6 to 7% increase in dementia incidence and a 9% increase in AD incidence. For different PM 2.5 constituents, associations remained significant for BC, OM, SO 4 2− , and NH 4 + for both end points (even after adjustments of other constituents), among which BC and SO 4 2− showed the strongest associations. All constituents had largely linear C-R relationships in the low exposure range, but most tailed off at higher exposure concentrations. Our findings suggest that long-term exposure to PM 2.5 is significantly associated with higher rates of incident dementia and AD and that SO 4 2− , BC, and OM related to traffic and fossil fuel combustion might drive the observed associations.

Funder

HHS | NIH | National Institute on Aging

U.S. Environmental Protection Agency

HHS | NIH | National Institute of Environmental Health Sciences

Novo Nordisk Foundation Center for Basic Metabolic Research

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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