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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.