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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)
  1. *** P < 0.001; **P < 0.01; *P < 0.05