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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