Table 4 RR for significant associations between air pollutants and daily respiratory mortality due to lag effects
From: Ambient air pollution and respiratory mortality in Xi’an, China: a time-series analysis
Lag | PM2.5 | O3 | SO2 | |
|---|---|---|---|---|
Single Model | Lag 0 | 1.001 (0.996, 1.005) | 0.995 (0.979, 1.010) | 0.995 (0.979, 1.011) |
Lag 1 | 1.002 (0.997, 1.006) | 1.001 (0.984, 1.017) | 0.991 (0.977, 1.004) | |
Lag 2 | 1.003 (1.001, 1.006)* | 1.010 (0.996, 1.024) | 1.004 (0.997, 1.011) | |
Lag 3 | 0.998 (0.996, 1.001) | 0.994 (0.980, 1.007) | 0.996 (0.990, 1.002) | |
Lag 4 | 1.001 (0.999, 1.002) | 0.994 (0.981, 1.007) | 1.010 (1.004, 1.015)*** | |
Lag 01 | 1.003 (0.992, 1.013) | 1.022 (0.982, 1.064) | 0.994 (0.958, 1.031) | |
Lag 02 | 0.987 (0.975, 0.998)* | 0.970 (0.920, 1.024) | 1.037 (0.990, 1.087) | |
Lag 03 | 1.006 (0.993, 1.020) | 0.964 (0.898, 1.036) | 0.981 (0.926, 1.039) | |
Lag 04 | 1.001 (0.992, 1.011) | 1.049 (0.990, 1.112) | 0.998 (0.961, 1.037) | |
After adjusting for collinearity | Lag 0 | 1.002 (0.997, 1.006)*** | 0.993 (0.977, 1.009) | 0.995 (0.979, 1.011) |
Lag 1 | 1.002 (0.997, 1.006) | 0.999 (0.983, 1.015) | 0.989 (0.975, 1.003) | |
Lag 2 | 1.003 (1.000, 1.006)* | 1.009 (0.996, 1.023) | 1.001 (0.993, 1.009) | |
Lag 3 | 0.998 (0.996, 1.001) | 0.994 (0.980, 1.007) | 0.996 (0.990, 1.003) | |
Lag 4 | 1.000 (0.998, 1.002) | 0.992 (0.980, 1.004) | 1.009 (1.003, 1.015)** | |
Lag 01 | 1.004 (0.993, 1.014) | 1.026 (0.986, 1.068) | 0.990 (0.952, 1.029) | |
Lag 02 | 0.983 (0.971, 0.995)** | 0.972 (0.921, 1.025) | 1.054 (1.004, 1.108)* | |
Lag 03 | 1.009 (0.995, 1.024) | 0.959 (0.892, 1.030) | 0.974 (0.918, 1.034) | |
Lag 04 | 1.001 (0.991, 1.011) | 1.057 (0.998, 1.120) | 0.998 (0.960, 1.039) |