Table 9 Before and after adjusting co linearity by Principal component analysis for strongest cumulative effect of different air pollutants GAM model combination
From: Effects of air pollution on neonatal prematurity in guangzhou of china: a time-series study
Model | Type correction | NO2(Avg3) | PM10(Avg4) | SO2(Avg3) | |||
|---|---|---|---|---|---|---|---|
| Â | Â | RR value | 95%CI | RR Value | 95%CI | RR value | 95%CI |
NO2+ PM10 | Before correction | 1.0340 | 0.9456~1.1224 | 1.0298 | 0.9130~1.1466 | - | - |
| Â | after correction | 1.0284* | 1.0042~1.0527 | 1.0373* | 1.0056~1.0690 | - | - |
NO2+ SO2 | Before correction | 0.9782 | 0.8718~1.0847 | - | - | 1.1723 | 0.9839 ~1.3608 |
| Â | after correction | 1.0321* | 1.0089~1.0553 | - | - | 1.0598* | 1.0171 ~1.1024 |
PM10+ SO2 | Before correction | - | - | 1.0071 | 0.9085~1.1058 | 1.1185 | 0.9865 ~1.2506 |
| Â | after correction | - | - | 1.0441* | 1.0125~1.0758 | 1.0627* | 1.0181 ~1.1073 |
Three pollutants | Before correction | 0.9639 | 0.8373~1.0904 | 1.0244 | 0.9072~1.1415 | 1.1688 | 0.9797 ~1.3579 |
| Â | after correction | 1.0219* | 1.0053~1.0386 | 1.0274* | 1.0066~1.0482 | 1.0388* | 1.0096 ~1.0681 |