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Table 2 Multi-pollutant linear regression for pediatric outpatient admissions

From: Identifying and characterizing the effects of calendar and environmental conditions on pediatric admissions in Shanghai

  Outpatient Emergency
ER (%)a 95% CI P-value ER (%) 95% CI P-value
PM2.5 − 0.31* [− 0.36, − 0.25] 0.0000 − 0.15* [− 0.26, − 0.04] 0.0074
PM2.5_lag2 0.09* [0.02, 0.15] 0.0111 − 0.30* [− 0.44, − 0.16] 0.0000
PM2.5_lag4MA − 0.65* [− 0.77, − 0.54] 0.0000 0.24* [0.00, 0.48] 0.0493
SO2 0.48* [0.30, 0.66] 0.0000 − 0.18 [− 0.55, 0.19] 0.3364
\( {\text{SO}}_{{ 2_{\text{lag2}} }} \) − 0.14 [− 0.37, 0.09] 0.2351 0.74* [0.29, 1.20] 0.0015
\( {\text{SO}}_{{ 2_{\text{lag4MA}} }} \) 1.66* [1.26, 2.07] 0.0000 1.20* [0.39, 2.02] 0.0037
O3 − 0.03 [− 0.07, 0.01] 0.1703 0.58* [0.50, 0.66] 0.0000
\( {\text{O}}_{{ 3_{{_{\text{lag2}} }} }} \) − 0.13* [− 0.17, − 0.08] 0.0000 0.12* [0.02, 0.21] 0.0163
\( {\text{O}}_{{ 3_{{_{\text{lag4MA}} }} }} \) 0.05 [− 0.04, 0.13] 0.2520 − 0.87* [− 1.05, − 0.69] 0.0000
TDIF − 0.17* [− 0.21, − 0.13] 0.0000 0.01 [− 0.07, 0.09] 0.7789
\( {\text{TDIF}}_{\text{lag1}} \) 0.03 [0.00, 0.07] 0.0746 − 0.08* [− 0.16, 0.00] 0.0391
\( {\text{TDIF}}_{\text{lag4MA}} \) 0.67* [0.59, 0.75] 0.0000 1.03* [0.87, 1.19] 0.0000
  1. * Significance level, p < 0.05
  2. aExcess risk