Table 2.
Associations between outdoor air pollution and plasma FlOPs levels
| NO2 | NOx | PM10a | PM2.5a | Total traffic load on major roads in a 100-m buffer of the homeb | Traffic intensity at the road nearest to a participant’s homeb | O3 | O3-sumer | ||
|---|---|---|---|---|---|---|---|---|---|
| Model 1 |
n β crude (95% CI) P |
204 0.007 (− 0.004,0.02) 0.19 |
204 0.006 (− 0.003,0.02) 0.15 |
146 0.04 (0.001,0.08) 0.04 |
146 0.03 (− 0.009,0.07) 0.15 |
204 0.008 (− 0.005,0.02) 0.24 |
204 0.0004 (− 0.005,0.006) 0.88 |
204 0.03 (− 0.004,0.06) 0.06 |
204 0.02 (− 0.03,0.07) 0.36 |
| Model 2 |
n β adjusted (95% CI) P |
204 0.007 (− 0.003,0.02) 0.18 |
204 0.007 (− 0.002,0.02) 0.16 |
146 0.04 (0.001,0.08) 0.03 |
146 0.03 (− 0.008,0.07) 0.18 |
204 0.006 (− 0.006,0.02) 0.30 |
204 0.0002 (− 0.005,0.006) 0.94 |
204 0.04 (0.009,0.07) 0.02 |
204 0.02 (− 0.02,0.06) 0.45 |
| Model 3 |
n β adjusted (95% CI) P |
204 0.007 (− 0.002,0.02) 0.14 |
204 0.006 (− 0.002,0.01) 0.12 |
72 0.03 (− 0.01,0.07) 0.22c |
|||||
| Model 4 |
n β adjusted (95% CI) P |
186 0.009 (− 0.003,0.02) 0.14 |
186 0.008 (− 0.002,0.02) 0.14 |
133 0.05 (0.006,0.09) 0.04 |
133 0.02 (− 0.02,0.06) 0.24 |
186 0.003 (− 0.01,0.02) 0.63 |
186 0.0005 (− 0.005,0.006) 0.86 |
186 0.05 (0.01,0.08) 0.01 |
186 0.02 (− 0.03,0.07) 0.37 |
The linear regression models were conducted with random effects on familial dependence and center. FlOPs levels were log10-transformed. NO2, nitrogen dioxide; NOx, nitrogen oxides; PM10, particulate matter with a diameter ≤ 10 μm; PM2.5, particulate matter with a diameter ≤ 5 μm. Results are expressed per 20 μg/m3 increase of NOx exposure, per 10 μg/m3 increase of NO2, PM10 O3 and O3-summer exposures, per 5 μg/m3 increase of PM2.5 exposure, per 4 million vehicles x meters per day increase of total traffic load, per 5000 vehicles per day increase of traffic intensity. Model 1: unadjusted. Model 2: adjusted for age, sex and smoking status. Model 3: with back-extrapolated pollution and adjusted for age, sex and smoking status. Model 4: after excluding the participants living at the same residential address <1 year
aNot back-extrapolated PM were only estimated in Paris and in Grenoble, and back extrapolated PM10 only in Paris
bEstimates were also adjusted for background NO2
cThe linear regression model was only conducted with random effects on familial dependence because back-extrapolated PM10 were estimated only in Paris