Impact of lowering fine particulate matter from major emission sources on mortality in Canada: A nationwide causal analysis

Author:

Chen Hong1234ORCID,Quick Matthew5ORCID,Kaufman Jay S.67ORCID,Chen Chen8ORCID,Kwong Jeffrey C.2349ORCID,van Donkelaar Aaron10,Meng Jun1011ORCID,Martin Randall V.10ORCID,Kim JinHee24ORCID,Lavigne Eric1213ORCID,Bai Li3ORCID,Li Yi6,Tjepkema Michael5,Benmarhnia Tarik8ORCID,Burnett Richard T.1

Affiliation:

1. Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada

2. Public Health Ontario, Toronto, ON M5G 1V2, Canada

3. ICES, Toronto, ON M4N 3M5, Canada

4. Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada

5. Health Analysis Division, Statistics Canada, Ottawa, ON K1A 0T6, Canada

6. Department of Epidemiology and Biostatistics, McGill University, Montreal, QC H3A 1G1, Canada

7. Institute for Health and Social Policy, McGill University, Montreal, QC H3A 1G1, Canada

8. Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92037

9. Department of Family and Community Medicine, University of Toronto, Toronto, ON M5T 3M7, Canada

10. Department of Energy, Environment & Chemical Engineering, Washington University, St Louis, MO 63112

11. Air Quality Research Division, Environment and Climate Change Canada, Downview, ON M3H 5T4, Canada

12. School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON K1G 5Z3, Canada

13. Air Health Science Division, Health Canada, Ottawa, ON K1A 0K9, Canada

Abstract

Emissions of fine particulate matter (PM 2.5 ) from human activities have been linked to substantial disease burdens, but evidence regarding how reducing PM 2.5 at its sources would improve public health is sparse. We followed a population-based cohort of 2.7 million adults across Canada from 2007 through 2016. For each participant, we estimated annual mean concentrations of PM 2.5 and the fractional contributions to PM 2.5 from the five leading anthropogenic sources at their residential address using satellite observations in combination with a global atmospheric chemistry transport model. For each source, we estimated the causal effects of six hypothetical interventions on 10-y nonaccidental mortality risk using the parametric g-formula, a structural causal model. We conducted stratified analyses by age, sex, and income. This cohort would have experienced tangible health gains had contributions to PM 2.5 from any of the five sources been reduced. Compared with no intervention, a 10% annual reduction in PM 2.5 contributions from transportation and power generation, Canada’s largest and fifth-largest anthropogenic sources, would have prevented approximately 175 (95%CI: 123–226) and 90 (95%CI: 63–117) deaths per million by 2016, respectively. A more intensive 50% reduction per year in PM 2.5 contributions from the two sources would have averted 360 and 185 deaths per million, respectively, by 2016. The potential health benefits were greater among men, older adults, and low-income earners. In Canada, where PM 2.5 levels are among the lowest worldwide, reducing PM 2.5 contributions from anthropogenic sources by as little as 10% annually would yield meaningful health gains.

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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