TABLE 2.
Regression Coefficient of AF Predictors Associated With a 10-µg/m3 Increment of PM2.5 Concentration
| Regression coefficient (SE,p value) |
|||
|---|---|---|---|
| P-wave variable | Lags | Model 1 | Model 2 |
| P complexity | Lag 0 | 0.0002 (0.0002,p = .47) | 0.0002 (0.0002,p = .49) |
| Lag 1 | 0.0004 (0.0002,p = .01) | 0.0004 (0.0002,p = .01) | |
| Lag 2 | 0.0005 (0.0002,p < 0.01) | 0.0005 (0.0002,p < .01) | |
| Lag 3 | 0.0004 (0.0004,p = .31) | 0.0004 (0.0004,p = .32) | |
| Cumulative | 0.0016 (0.0006,p = .01) | 0.0016 (0.0006,p = .01) | |
| PR duration | Lag 0 | –0.022 (0.036,p = .54) | –0.023 (0.036,p = .53) |
| Lag 1 | –0.009 (0.025,p = .70) | –0.010(0.025,p = .68) | |
| Lag 2 | 0.023 (0.031,p = .46) | 0.022 (0.031,p = .48) | |
| Lag 3 | 0.075 (0.037,p = .05) | 0.074 (0.037,p = .05) | |
| Lag 4 | 0.146 (0.068,p = .03) | 0.145 (0.068,p = .03) | |
| Cumulative | 0.213 (0.133,p = .11) | 0.207 (0.133,p = .12) | |
| P duration | Lag 0 | 0.014 (0.030,p = .65) | 0.013 (0.030,p = .67) |
| Lag 1 | –0.016 (0.020,p = .43) | –0.017 (0.020,p = .41) | |
| Lag 2 | –0.023 (0.026,p = .36) | –0.024 (0.026,p = .35) | |
| Lag 3 | –0.008 (0.032,p = .79) | –0.009 (0.032,p = .77) | |
| Lag 4 | 0.029 (0.058,p = .62) | –0.028 (0.058,p = .63) | |
| Cumulative | –0.005 (0.110,p = .96) | –0.009 (0.111,p = .94) | |
Note. Model 1: adjusted for age, gender, race, temperature, and relative humidity. Model 2: adjusted for age, gender, race, temperature, relative humidity, diabetes, hypertension, and CVD.