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Table 2 Association between logarithm of nitrogen dioxide (NO 2 ) concentrations and land-use variables, from univariate analysis and multiple linear regression model. Rome 1995/96 and 2007

From: Nitrogen dioxide levels estimated from land use regression models several years apart and association with mortality in a large cohort study

  1995/96 2007
Land-use variables Slopea p value Slopeb p value Slopea p value Slopeb p value
Intercept    (24.5) 0.023    (21.8) 0.199
Proximity to a green urban area
No  -        
Yes  −0.0067371 0.895    −0.0482182 0.517   
Altitude (m) −0.0009000 0.239 −0.0013084 0.002 −0.0017940 0.138 −0.0025286 0.001
GIS Coordinate x (m) 0.0000031 0.233 0.0000031 0.054 0.0000060 0.148 0.0000069 0.009
GIS Coordinate y (m) 0.0000090 0.002 −0.0000046 0.049 0.0000164 0.001 −0.0000042 0.252
Distance from the city centre (m) −0.0000218 <0.001 −0.0000176 <0.001 −0.0000355 <0.001 −0.0000301 <0.001
Number of residents in the census block −0.0000500 0.295    −0.0001610 0.004   
Size of the census block (m2) −0.0000004 <0.001    −0.0000004 <0.001 −0.0000002 0.001
Inverse population density (m2/person) −0.0002000 <0.001 −0.0001024 0.004 −0.0000072 0.248   
Meters of high traffic road in a 150 m buffer 0.0003840 0.001    0.0005537 <0.001 0.0003620 <0.001
Traffic density in a 150 m buffer (cars/m) 0.0008000 0.001 0.0003290 0.032 0.0013315 <0.001   
Distance from the closest high traffic road (m) −0.0005000 <0.001 −0.0002021 0.003 −0.0006183 <0.001   
Adjusted R-square    0.737     0.704  
  1. aThe estimate derived from a simple linear regression model with only one independent variable and logarithm of NO2 concentration (μg/m3) as dependent variable.
  2. bThe estimate derived from a multiple linear regression model with logarithm of NO2 concentration (μg/m3) as dependent variable.