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Table 1 Descriptive statistics of daily child hospitalizations, air pollutants, and meteorological factors in Suzhou, China, 2017–2022

From: Short-term effects of air pollutants on hospitalization for childhood respiratory diseases in Suzhou City: a time-stratified case-crossover study

Variables

Number of measurements n(%)

Mean (SD)

Min

Max

The COVID-19 phase

Pre- pandemic

n(%)

Post- pandemic

n(%)

P

Number of inpatients (n)

 

Total

13,408

6.17(2.66)

1

24

6847(51.07)

6561(48.93)

Sex

    

P = 0.1806

   Boys

8017(59.79)

3.82(1.90)

1

13

4132(60.35)

3885(59.21)

   Girls

5391(40.21)

2.73(1.51)

1

11

2715(39.65)

2676(40.79)

Age (years)

 

P < 0.0001

   Infants and toddlers

8650(64.51)

4.06(2.07)

1

21

4704(68.70)

3946(60.14)

   Preschool-age

3125(23.31)

2.03(1.25)

1

8

1335(19.50)

1790(27.28)

   School-age

1501(11.19)

1.48(0.80)

1

6

753(11.00)

748(11.40)

   Adolescents

132(0.98)

1.02(0.15)

1

2

55(0.80)

77(1.17)

Season

 

P = 0.7415

   Warm

7867(58.67)

6.17(2.59)

1

18

4008(58.54)

3859(58.82)

   Cold

5541(41.33)

6.18(2.77)

1

24

2839(41.46)

2702(41.18)

Air pollutant concentration

 

   PM2.5 (µg/m³)

2191

35.3 ± 24.1

3

225

p < 0.0001

   PM10 (µg/m³)

2191

55.0 ± 30.8

8

275

p < 0.0001

   SO₂ (µg/m³)

2191

7.5 ± 4.4

2

33

p < 0.0001

   NO₂ (µg/m³)

2191

37.7 ± 18.7

3

121

p < 0.0001

   O₃(µg/m³)

2191

101.1 ± 47.0

4

257

P = 0.0032

   CO (mg/m³)

2191

0.7 ± 0.25

0.2

2.3

P = 0.0007

Meteorological factors

 

   Mean Temperature (°C)

2191

17.6 ± 8.8

-4.6

35.2

P = 0.5297

   Relative humidity (%)

2191

75.9 ± 10.6

38

97

P = 0.6871

   Atmospheric pressure (hpa)

2191

1016.0 ± 9.3

987.2

1040.1

P = 0.7845

  1. Infants and toddlers: [0–3); Pre-school age: [3–6), School age: [6–12), Adolescents: [12–18)
  2. Warm: April to September, Cold: October to March
  3. Pre-COVID-19 pandemic period (January 1, 2017 to December 31, 2019)
  4. post-COVID-19 pandemic period (January 1, 2020 to December 31, 2022)
  5. P: Statistical differences between pre-and post-epidemic periods