Table 3.
Air pollution exposure at residential address of individuals from 11 European cohorts from five countries contributing data to study long term exposure to ambient air pollution and incidence of acute coronary events. Figures are means and 5-95th centile ranges, correlation coefficients between PM2.5 and other pollutants, and R2 of models and their cross validation
| Variable | FINRISK | SNAC-K | SALT | 60 year olds | SDPP | DCH | HNR | KORA | EPIC Turin | SIDRIA | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Turin | Rome | |||||||||||
| Mean (5th-95th centile) annual air pollution (µg/m3) at residence address | ||||||||||||
| PM10 | 14 (10-20) | 16 (6-29) | 15 (7-21) | 15 (7-21) | 14 (6-17) | 17 (14-20) | 28 (25-32) | 20 (16-24) | 46 (39-52) | 48 (41-54) | 36 (31-47) | |
| Coarse PM | 7 (4-11) | 8 (1-19) | 7 (2-12) | 7 (1-12) | 6 (1-9) | 6 (4-7) | 10 (7-12) | 6 (5-8) | 16 (12-20) | 17 (13-20) | 17 (12-24) | |
| PM2.5 | 8 (6-9) | 8 (6-10) | 7 (5-9) | 7 (5-9) | 7 (5-8) | 11 (10-13) | 18 (17-20) | 14 (13-15) | 30 (27-33) | 31 (29-34) | 19 (17-23) | |
| Absorbance PM2.5,10-5/m | 0.9 (0.5-1.2) | 0.8 (0.5-1.2) | 0.6 (0.4-0.9) | 0.6 (0.4-0.9) | 0.5 (0.4-0.7) | 1.2 (0.8-1.5) | 1.6 (1.2-2.2) | 1.7 (1.5-2.0) | 3.1 (2.3-3.6) | 3.2 (2.6-3.8) | 2.7 (2.2-4.0) | |
| NO2 | 15 (9-24) | 17 (9-25) | 11 (7-20) | 11 (6-20) | 8 (6-11) | 16 (8-30) | 30 (23-39) | 19 (14-26) | 53 (34-68) | 60 (42-77) | 39 (26-56) | |
| NOx | 24 (14-41) | 33 (15-58) | 19 (12-40) | 19 (12-39) | 14 (12-20) | 27 (7-66) | 51 (33-72) | 33 (24-47) | 96 (62-132) | 107 (79-162) | 82 (39-122) | |
| Daily No of vehicles/day on nearest road | 1670 (50-9011) | 3726 (500-21828) | 1454 (500-6000) | 1455 (500-6300) | 864 (500-2575) | 2994 (200-16145) | - | 1636 (500-8367) | 3907 (0-23951) | 4290 (0-24379) | 2966 (500-15312) | |
| Daily traffic load on major roads in 100 m buffer (thousand), (vehicles×meters/day) | 633 (0-3711) | 2307 (0-6572) | 578 (0-3437) | 521 (0-3048) | 109 (0-986) | 1274 (51-4719) | 1017 (0-4302) | 444 (0-2805) | 466 (0-2340) | 804 (0-4197) | 1417 (0-6947) | |
| Pearson correlations coefficients between PM2.5 and: | ||||||||||||
| PM10 | 0.67 | 0.70 | 0.49 | 0.50 | 0.31 | 0.74 | 0.90 | 0.42 | 0.62 | 0.56 | 0.92 | |
| Coarse PM | 0.10 | 0.71 | 0.50 | 0.50 | 0.32 | 0.60 | 0.51 | 0.38 | 0.51 | 0.32 | 0.90 | |
| Absorbance PM2.5 | 0.98 | 0.98 | 0.84 | 0.84 | 0.90 | 0.49 | 0.76 | 0.50 | 0.77 | 0.73 | 0.78 | |
| NO2 | 0.41 | 0.82 | 0.60 | 0.61 | 0.61 | 0.57 | 0.63 | 0.45 | 0.72 | 0.67 | 0.69 | |
| R2 of land use regression models and their leave one out cross validation | ||||||||||||
| PM10 | 067-0.42 | 0.82-0.77 | 0.82-0.77 | 0.82-0.77 | 0.82-0.77 | 0.75-0.64 | 0.69-0.63 | 0.83-0.75 | 0.78-0.69 | 0.78-0.69 | 0.72-0.59 | |
| Coarse PM | 0.61-0.33 | 0.72-0.65 | 0.72-0.65 | 0.72-0.65 | 0.72-0.65 | 0.71-0.54 | 0.66-0.57 | 0.81-0.79 | 0.65-0.58 | 0.65-0.58 | 0.70-0.57 | |
| PM2.5 | 0.67-0.53 | 0.87-0.78 | 0.87-0.78 | 0.87-0.78 | 0.87-0.78 | 0.62-0.55 | 0.88-0.79 | 0.78-0.62 | 0.71-0.59 | 0.71-0.59 | 0.71-0.60 | |
| Absorbance PM2.5 | 0.65-0.47 | 0.89-0.85 | 0.89-0.85 | 0.89-0.85 | 0.89-0.85 | 0.92-0.86 | 0.97-0.95 | 0.91-0.82 | 0.88-0.81 | 0.88-0.81 | 0.84-0.70 | |
| NO2 | 0.83-0.75 | 0.82-0.78 | 0.82-0.78 | 0.82-0.78 | 0.82-0.78 | 0.88-0.83 | 0.89-0.84 | 0.86-0.67 | 0.78-0.70 | 0.78-0.70 | 0.87-0.76 | |
| NOx | 0.85-0.74 | 0.83-0.79 | 0.83-0.79 | 0.83-0.79 | 0.83-0.79 | 0.83-0.73 | 0.88-0.81 | 0.88-0.76 | 0.78-0.72 | 0.78-0.72 | 0.80-0.79 | |
PM2.5=particulate matter <2.5 µm; PM10=particulate matter <10 µm; NO2=nitrogen dioxide; NOx=nitrogen oxides.