From: Long-term air pollution exposure and cardio- respiratory mortality: a review
Study Name | Pollutant | Conca(μg/m3) | Spatial scaleb | % change in risk (95% CI) in mortality per 10 μg/m3 | References |
---|---|---|---|---|---|
AHSMOG | PM10 | 51 (17) | Address (Inter) | 6 (−1, 15) | [40] |
ACS study | PM2.5 | 17 (5) | City | −8 (−14, -2) | [39] |
Oslo cohort | NOx | 11 (1 – 168) | Address (DISP) | 16 (6, 26) | [68] |
Harvard six cities | PM2.5 | 15 (10–22) | City | 8 (−21, 49) | [14] |
Netherlands Cohort Study | PM2.5 | 28 (23–37) | Address (LUR) | 7 (−25, 52) | [23] |
Netherlands Cohort Study | NO2 | 37 (15–67) | Address (LUR) | 12 (0, 26) | [23] |
California Teachers study | PM2.5 | 18 (7–39) | Address (near) | 3 (−20, 34) | [27] |
China national. hypertension survey | NOx | 50 (20 – 122) | City | 3 (0, 6) | [31] |
China national. hypertension survey | TSP | 289 (113 – 499) | City | 0.3 (−1,1) | [31] |
US truckers study | PM2.5 | 14 (4) | Address (near) | 20 (−9, 60) | [32] |
US truckers study | NO2 | 28 (14) | Address (LUR) | 15 (1,31) | [32] |
California Teachers study | PM2.5 | 16 (3–28) | Address (Inter) | 21 (−3, 52) | [36] |
New Zealand Census study | PM10 | 8 (0 – 19) | Census tract (Disp) | 14 (5, 23) | [35] |
Shenyang cohort study | PM10 | 154 (78 – 274) | District (mean) | 67 (60, 74) | [59] |
Shenyang cohort study | NO2 | 46 (18–78) | District (mean) | 197 (169, 227) | [59] |
Shizuoka elderly cohort | NO2 | 25 (−19, 75) | Address (LUR) | 19 (2, 38) | [70] |
Two Scotch cohorts | BS | 19 | LUR + temporal | 11 (−3, 28) | [67] |
Rome longitudinal study | PM2.5 | 23 (7 – 32) | Address (DISP, 1 km grid) | 3 (−3, 8) | [38] |