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. 2013 May 28;12:43. doi: 10.1186/1476-069X-12-43

Table 6.

Summary of the studies on air pollution and mortality from all respiratory disease (excess risk per 10 μg/m3)

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]

a Mean with minimum – maximum in parentheses (μg/m3). One number in parentheses is standard deviation.

b Spatial scale of exposure assignment, in parentheses exposure assignment method. City = average of monitors within the city; Near = nearest monitor concentration; LUR = land use regression; Disp = dispersion modeling; Inter = interpolation.

Studies adjusted for individual smoking except references [26,28,30,34,38,56].