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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.