Table 4.
a) All-cause | ||||||||
---|---|---|---|---|---|---|---|---|
Author | Year | Cohort | CO | SB | EA | OM | MD | SR |
Fischer | 2015 | DUELS | mod | low | low | low | low | low |
Chen | 2016 | Four northern Chinese cities | mod | low | low | low | low | low |
Bentayeb | 2015 | Gazel cohort | mod | mod | low | low | low | low |
Desikan | 2016 | South London Stroke Register | high | high | low | low | low | low |
Beelen | 2014 | ESCAPE | mod | low | low | low | low | low |
Tonne | 2013 | MINAP (ACS survivors) | mod | low | low | low | low | low |
Cesaroni | 2013 | Rome longitudinal study | high | low | low | low | low | low |
Carey | 2013 | CPRD | mod | low | low | low | low | low |
Hart | 2013 | Nurses Health Study | low | low | low | low | low | low |
Lipsett | 2011 | CTS | low | low | low | low | low | low |
Hart | 2011 | US trucking industry cohort | mod | low | low | low | low | low |
Brunekreef | 2009 | NLCS-AIR | high | low | low | low | low | low |
Jerrett | 2009 | Toronto respiratory cohort | mod | low | low | low | low | low |
Rosenlund | 2008 | CHD survivors cohort | high | low | low | low | low | low |
Lipfert | 2006 | Washington University-EPRI Veterans | mod | low | low | low | low | low |
Abbey | 1999 | AHSMOG | mod | low | low | low | low | low |
Weichenthal | 2017 | CanCHEC | high | low | low | low | low | low |
Hartiala | 2016 | The Cleveland Clinic GeneBank study | mod | low | low | low | low | low |
Turner | 2016 | ACS CPS-II | mod | low | low | low | low | low |
Yorifuji | 2013 | Shizuoka elderly cohort | mod | mod | low | low | low | low |
Filleul | 2005 | PAARC | mod | low | low | low | low | low |
HEI | 2000 | Six Cities | mod | low | low | low | low | low |
Yang | 2018 | Hong Kong elderly | mod | low | low | low | low | low |
Crouse | 2015 | CanCHEC | mod | low | low | low | low | low |
b) Respiratory | ||||||||
---|---|---|---|---|---|---|---|---|
Author | Year | Cohort | CO | SB | EA | OM | MD | SR |
Fischer | 2015 | DUELS | mod | low | low | low | low | low |
Dimakopoulou | 2014 | ESCAPE | mod | low | low | low | low | low |
Cesaroni | 2013 | Rome longitudinal study | mod | low | low | low | low | low |
Carey | 2013 | CPRD | mod | low | low | low | low | low |
Katanoda | 2011 | 3 Japanease Prefectures | mod | low | low | low | low | low |
Lipsett | 2011 | CTS | low | low | low | low | low | low |
Hart | 2011 | US trucking industry cohort | high | low | low | low | low | low |
Brunekreef | 2009 | NLCS-AIR | mod | low | low | low | low | low |
Jerrett | 2009 | Toronto respiratory cohort | mod | low | low | low | low | low |
Abbey | 1999 | AHSMOG | mod | low | low | low | low | low |
Weichenthal | 2017 | CanCHEC | high | low | low | low | low | low |
Turner | 2016 | ACS CPS-II | mod | low | low | low | low | low |
Yorifuji | 2013 | Shizuoka elderly cohort | mod | mod | low | low | low | low |
Yang | 2018 | Hong Kong elderly | mod | low | low | low | low | low |
Crouse | 2015 | CanCHEC | mod | low | low | low | low | low |
c) COPD | ||||||||
---|---|---|---|---|---|---|---|---|
Author | Year | Cohort | CO | SB | EA | OM | MD | SR |
Carey | 2013 | CPRD | mod | low | low | low | low | low |
Katanoda | 2011 | 3 Japanese Prefectures | mod | low | low | low | low | low |
Hart | 2011 | US trucking industry cohort | high | low | low | low | low | low |
Naess | 2007 | Oslo Cohort | mod | low | low | low | low | low |
Turner | 2016 | ACS CPS-II | mod | low | low | low | low | low |
Crouse | 2015 | CanCHEC | mod | low | low | low | low | low |
Gan | 2013 | Vancover | high | low | low | low | low | low |
Yorifuji | 2013 | Shizuoka elderly cohort | mod | mod | low | low | low | low |
Yang | 2018 | Hong Kong elderly | mod | low | low | low | low | low |
d) ALRI | ||||||||
---|---|---|---|---|---|---|---|---|
Author | Year | Cohort | CO | SB | EA | OM | MD | SR |
Carey | 2013 | CPRD | mod | low | low | low | low | low |
Katanoda | 2011 | 3 Japanese Prefectures | mod | low | low | low | low | low |
Turner | 2016 | ACS CPS-II | mod | low | low | low | low | low |
Yorifuji | 2013 | Shizuoka elderly cohort | mod | mod | low | low | low | low |
Yang | 2018 | Hong Kong elderly | mod | low | low | low | low | low |