Associations between fine particulate matter and mortality in the 2001 Canadian Census Health and Environment Cohort
Initiatives
-
The purpose of the present study is to assign exposures based on a relatively fine-scale PM2.5 model (approximately 1 km grid), which incorporated both remote sensing estimates and ground observations.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 1998
- End Year
- 2011
- Funding
- Research described in this article was conducted under contract to the Health Effects Institute (HEI), an organization jointly funded by the United States Environmental Protection Agency (EPA) (Assistance Award No. R-82811201) and certain motor vehicle and engine manufacturers. The contents of this article do not necessarily reflect the views of HEI, or its sponsors, nor do they necessarily reflect the views and policies of the EPA or motor vehicle and engine manufacturers.
Design
- Study design
- Population cohort
Marker Paper
Pinault LL, Weichenthal S, Crouse DL, et al. Associations between fine particulate matter and mortality in the 2001 Canadian Census Health and Environment Cohort. Environ Res. 2017;159:406‐415. doi:10.1016/j.envres.2017.08.037
PUBMED 28850858
Recruitment
- Sources of Recruitment
-
- Individuals
Number of participants
- Number of participants
- 2,448,500
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
new cohort based on respondents to the 2001 Canadian census long-form
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
Selection Criteria
- Minimum age
-
25
- Maximum age
-
90
- Newborns
- Twins
- Countries
-
- Canada
- Ethnic Origin
-
- Health Status
-
Recruitment
- Sources of recruitment
-
- General population
Number of participants
- Number of participants
- 2,448,500
- Number of participants with biosamples
Data Collection Event
We applied new annual PM2.5 concentration estimates based on remote sensing and ground measurements for Canada at a 1 km spatial scale from 1998 to 2011.
- Start Date
-
1998
- End Date
-
2011
- Data sources
-
-
Geospatial technology
- Remote sensing (RS)
-
Geospatial technology