Environmental Research
Volume 159, 2017, Pages 406-415

Associations between fine particulate matter and mortality in the 2001 Canadian Census Health and Environment Cohort (Article)

Pinault L.L.* , Weichenthal S. , Crouse D.L. , Brauer M. , Erickson A. , Donkelaar A.V. , Martin R.V. , Hystad P. , Chen H. , Finès P. , Brook J.R. , Tjepkema M. , Burnett R.T.
  • a Health Analysis Division, Statistics Canada, Ottawa, ON, Canada
  • b McGill University, Montreal, QC, Canada, Air Health Science Division, Health Canada, Ottawa, ON, Canada
  • c University of New Brunswick, Fredericton, NB, Canada
  • d University of British ColumbiaBC, Canada
  • e University of British ColumbiaBC, Canada
  • f Dalhousie University, Halifax, NS, Canada
  • g Dalhousie University, Halifax, NS, Canada, Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States
  • h Oregon State University, Corvallis, OR, United States
  • i Public Health Ontario, Toronto, ON, Canada, Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
  • j Health Analysis Division, Statistics Canada, Ottawa, ON, Canada
  • k University of Toronto, Toronto, ON, Canada
  • l Health Analysis Division, Statistics Canada, Ottawa, ON, Canada
  • m Population Studies Division, Health Canada, Ottawa, ON, Canada

Abstract

Background Large cohort studies have been used to characterise the association between long-term exposure to fine particulate matter (PM 2.5 ) air pollution with non-accidental, and cause-specific mortality. However, there has been no consensus as to the shape of the association between concentration and response. Methods To examine the shape of this association, we developed a new cohort based on respondents to the 2001 Canadian census long-form. We applied new annual PM 2.5 concentration estimates based on remote sensing and ground measurements for Canada at a 1 km spatial scale from 1998 to 2011. We followed 2.4 million respondents who were non-immigrants aged 25–90 years and did not reside in an institution over a 10 year period for mortality. Exposures were assigned as a 3-year mean prior to the follow-up year. Income tax files were used to account for residential mobility among respondents using postal codes, with probabilistic imputation used for missing postal codes in the tax data. We used Cox survival models to determine hazard ratios (HRs) for cause-specific mortality. We also estimated Shape Constrained Health Impact Functions (a concentration-response function) for selected causes of death. Results In models stratified by age, sex, airshed, and population centre size, and adjusted for individual and neighbourhood socioeconomic variables, HR estimates for non-accidental mortality were HR = 1.18 (95% CI: 1.15–1.21) per 10 μg/m 3 increase in concentration. We observed higher HRs for cardiovascular disease (HR=1.25; 95% CI: 1.19–1.31), cardio-metabolic disease (HR = 1.27; 95% CI: 1.21–1.33), ischemic heart disease (HR = 1.36; 95% CI: 1.28–1.44) and chronic obstructive pulmonary disease (COPD) mortality (HR = 1.24; 95% CI: 1.11–1.39) compared to HR for all non-accidental causes of death. For non-accidental, cardio-metabolic, ischemic heart disease, respiratory and COPD mortality, the shape of the concentration-response curve was supra-linear, with larger differences in relative risk for lower concentrations. For both pneumonia and lung cancer, there was some suggestion that the curves were sub-linear. Conclusions Associations between ambient concentrations of fine particulate matter and several causes of death were non-linear for each cause of death examined. © 2017 Elsevier Inc.

Author Keywords

Cohort Respiratory PM 2.5 Mortality Cardiovascular

Index Keywords

proportional hazards model Proportional Hazards Models analysis Cardiovascular Diseases human epidemiology middle aged Aged Humans male Canada particle size female Aged, 80 and over very elderly environmental exposure particulate matter population research Air Pollutants air pollutant theoretical model Models, Theoretical adult Censuses cause of death mortality
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028324864&doi=10.1016%2fj.envres.2017.08.037&partnerID=40&md5=82c58a00ef98cd0349df849b45c50ff7
DOI: 10.1016/j.envres.2017.08.037
ISSN: 00139351
Cited by: 34
Original Language: English