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Table 2 Means, standard deviations and Pearson’s correlation coefficients for the air pollution metrics

From: Investigating the association between birth weight and complementary air pollution metrics: a cohort study

     

Monitoring station measurements

Land Use Regression model predictions

  

N

Mean

Standard deviation

NO2

NO

NOx

CO

PM10

PM2.5

O3

NO2

NOx

Monitoring station measurements (a)

NO 2

74416

24.78

7.38

1.00

        
 

NO

74416

30.69

15.25

0.83

1.00

       
 

NO x

74416

55.42

21.74

0.92

0.98

1.00

      
 

CO

74416

0.73

0.36

0.83

0.85

0.88

1.00

     
 

PM 10

74416

32.68

5.68

0.70

0.52

0.60

0.61

1.00

    
 

PM 2.5

67141

17.47

3.48

0.77

0.65

0.71

0.77

0.87

1.00

   
 

O 3

74416

35.66

7.41

−0.81

−0.80

−0.83

−0.74

−0.49

−0.61

1.00

  

Land Use Regression model predictions (a)

NO 2

74416

28.03

6.92

0.57

0.42

0.49

0.43

0.52

0. 52

−0.39

1.00

 
 

NO x

74416

59.93

20.07

0.37

0.46

0.45

0.35

0.37

0.38

−0.34

0.83

1.00

CALINE4 predictions (a)

NO x

72969

7.18

5.20

0.50

0.41

0.45

0.43

0.41

0.43

−0.37

0.63

0.49

 

CO

72969

0.10

0.07

0.53

0.42

0.48

0.45

0.44

0.46

−0.38

0.64

0.49

 

PM 2.5

72969

4.25

3.11

0.25

0.21

0.23

0.21

0.19

0.20

−0.14

0.44

0.34

Traffic density, within buffers of different distances around roads (b)

50 m

74413

66.11

163.02

0.06

0.05

0.05

0.06

0.07

0.07

−0.04

0.10

0.09

 

75 m

74413

56.56

132.89

0.06

0.04

0.05

0.05

0.06

0.06

−0.03

0.11

0.11

 

100 m

74413

54.19

121.71

0.06

0.04

0.05

0.05

0.06

0.06

−0.03

0.13

0.13

 

150 m

74413

58.33

119.27

0.07

0.05

0.06

0.06

0.07

0.07

−0.04

0.17

0.17

 

200 m

74413

64.18

119.54

0.08

0.06

0.07

0.07

0.08

0.08

−0.05

0.21

0.21

 

250 m

74413

69.29

118.22

0.08

0.06

0.07

0.07

0.08

0.08

−0.05

0.24

0.24

 

300 m

74413

73.42

116.13

0.09

0.06

0.08

0.08

0.09

0.09

−0.05

0.27

0.27

Distance to the nearest road (c)

Major roads

74416

256.47

241.03

−0.15

−0.12

−0.14

−0.11

−0.12

−0.12

0.13

−0.15

−0.12

 

Freeways

74416

1681.23

1244.81

−0.09

−0.07

−0.08

−0.07

−0.02

−0.04

0.05

−0.44

−0.32

  

CALINE4 predictions

Traffic density, within buffers of different distances around roads

Distance to the nearest road

  

NO x

CO

PM 2.5

50 m

75 m

100 m

150 m

200 m

250 m

300 m

Major roads

Freeways

Monitoring station measurements (a)

NO 2

            
 

NO

            
 

NO x

            
 

CO

            
 

PM 10

            
 

PM 2.5

            
 

O 3

            

Land Use Regression model predictions (a)

NO 2

            
 

NO x

            

CALINE4 predictions (a)

NO x

1.00

           
 

CO

0.99

1.00

          
 

PM 2.5

0.89

0.84

1.00

         

Traffic density, within buffers of different distances around roads (b)

50 m

0.12

0.13

0.12

1.00

        
 

75 m

0.17

0.17

0.17

0.93

1.00

       
 

100 m

0.24

0.24

0.25

0.79

0.94

1.00

      
 

150 m

0.37

0.36

0.39

0.54

0.70

0.87

1.00

     
 

200 m

0.46

0.45

0.49

0.39

0.53

0.70

0.94

1.00

    
 

250 m

0.53

0.51

0.56

0.30

0.42

0.58

0.84

0.97

1.00

   
 

300 m

0.58

0.56

0.61

0.24

0.35

0.49

0.75

0.90

0.98

1.00

  

Distance to the nearest road (c)

Major roads

−0.16

−0.17

−0.14

−0.26

−0.26

−0.24

−0.21

−0.19

−0.18

−0.17

1.00

 
 

Freeways

−0.51

−0.48

−0.55

−0.01

−0.03

−0.06

−0.12

−0.17

−0.21

−0.25

0.09

1.00

  1. a) The units are parts per million (ppm) for CO, parts per billion (ppb) for NO, NO2, NOx, and O3, and μg.m-3 for PM10 and PM2.5. Concentrations are averages, across the pregnancy period, derived from daily 24 h- mean concentrations for NO2, NO, NOx, CO, PM10 and PM2.5 and from daily mean concentrations from 10 AM to 6 PM for O3.
  2. b) The unit for traffic density is vehicle number per day/meter.
  3. c) The unit for distance to road is meter.