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A Population-Based Cohort Study of Respiratory Disease and Long-Term Exposure to Iron and Copper in Fine Particulate Air Pollution and Their Combined Impact on Reactive Oxygen Species Generation in Human Lungs

Authors :
Li Bai
Scott Weichenthal
Randall V. Martin
Marianne Hatzopoulou
Zilong Zhang
Pascale S. J. Lakey
Richard T. Burnett
Manabu Shiraiwa
Jeffrey C. Kwong
Hong Lu
Ray Copes
Hong Chen
Aaron van Donkelaar
Michael Jerrett
Source :
Environmental Science & Technology. 55:3807-3818
Publication Year :
2021
Publisher :
American Chemical Society (ACS), 2021.

Abstract

Metal components in fine particulate matter (PM2.5) from nontailpipe emissions may play an important role in underlying the adverse respiratory effects of PM2.5. We investigated the associations between long-term exposure to iron (Fe) and copper (Cu) in PM2.5 and their combined impact on reactive oxygen species (ROS) generation in human lungs, and the incidence of asthma, chronic obstructive pulmonary disease (COPD), COPD mortality, pneumonia mortality, and respiratory mortality. We conducted a population-based cohort study of ∼0.8 million adults in Toronto, Canada. Land-use regression models were used to estimate the concentrations of Fe, Cu, and ROS. Outcomes were ascertained using validated health administrative databases. We found positive associations between long-term exposure to Fe, Cu, and ROS and the risks of all five respiratory outcomes. The associations were more robust for COPD, pneumonia mortality, and respiratory mortality than for asthma incidence and COPD mortality. Stronger associations were observed for ROS than for either Fe or Cu. In two-pollutant models, adjustment for nitrogen dioxide somewhat attenuated the associations while adjustment for PM2.5 had little influence. Long-term exposure to Fe and Cu in PM2.5 and estimated ROS concentration in lung fluid was associated with increased incidence of respiratory diseases, suggesting the adverse respiratory effects of nontailpipe emissions.

Details

ISSN :
15205851 and 0013936X
Volume :
55
Database :
OpenAIRE
Journal :
Environmental Science & Technology
Accession number :
edsair.doi.dedup.....1e977ef642d867315620d7e0b359b3f7