Table 2 Results of ANCOVA for a generalized linear Poisson log model showing the relationship between the number of asthma hospital admissions and ambient meteorological parameters as well as air pollutants.

From: Relationship between biometeorological factors and the number of hospitalizations due to asthma

Variable

Estimate

Wald’s test

p-value

Estimate

Wald’s test

p-value

Estimate

Wald’stest

p-value

Total

Age ≤65

Age > 65

Intercept

3.23

0.50

0.477

1.21

0.04

0.840

5.23

0.57

0.452

UTCI Class 3

−0.81

7.36

0.007

0.72

3.41

0.065

−0.92

3.83

0.049

UTCI Class 4

0.33

3.37

0.067

0.31

1.84

0.175

0.35

1.51

0.219

UTCI Class 5

0.14

1.35

0.245

0.15

0.92

0.339

0.13

0.47

0.494

UTCI Class 7

0.23

2.81

0.093

0.40

5.97

0.015

0.14

0.28

0.596

UTCI Class 8

0.04

0.00

0.950

0.14

0.04

0.845

0.27

0.07

0.791

Air temperature

0.17

16.86

0.000

0.10

3.97

0.046

0.26

16.19

0.000

Relative humidity

−0.03

24.35

0.000

0.01

3.41

0.065

−0.04

29.60

0.000

Rainfall sum

0.00

0.48

0.487

0.00

0.76

0.382

0.00

0.06

0.803

Wind speed

0.06

1.25

0.263

0.07

0.91

0.341

0.06

0.44

0.507

Atmospheric pressure

0.00

0.11

0.736

0.00

0.11

0.740

0.00

0.00

0.984

PM2.5

0.01

1.86

0.173

0.02

3.70

0.054

0.00

0.03

0.868

PM10

0.01

1.16

0.281

−0.02

6.59

0.010

0.01

1.53

0.216

  1. Thermoneutral conditions (UTCI class 6) were set up as the baseline level. Significant values at p ≤ 0.05 are depicted in bold, Cl ± 95%.