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Table 4 Associations between crime and walking frequency/week, with adjustment for different built environment characteristics, in adults 25–65 years (n = 3,487)

From: Does walkable neighbourhood design influence the association between objective crime and walking?

Variable

Model 1

Model 2

Model 3a

Model 3b

Crime

Crime + residential density + street connectivity

Crime + local destinations

Crime + hotels, pubs, clubs & restaurants1

Relative change (CI)1

p

Relative change (CI)1

p

Relative change (CI)1

p

Relative change (CI)1

p

Actual and attempted burglary

       

400 m service area

        

Burglary

1.086 (1.030-1.145)

0.002

1.087 (1.029-1.148)

0.003

1.069 (1.008-1.132)

0.025

1.063 (1.004-1.127)

0.037

Residential density

  

0.999 (0.997-1.001)

0.279

    

Street connectivity

  

1.000 (0.999-1.001)

0.822

    

Local destinations

    

1.002 (0.999-1.006)

0.179

  

Hotels, pubs, clubs & restaurants2

      

1.039 (0.996-1.084)

0.076

1600 m service area

        

Burglary

1.007 (1.003-1.011)

0.002

1.006 (1.001-1.011)

0.011

1.003 (0.997-1.008)

0.344

1.003 (0.998-1.008)

0.293

Residential density

  

1.000 (0.995-1.006)

0.861

    

Street connectivity

  

1.001 (0.999-1.003)

0.468

    

Local destinations

    

1.001 (1.000-1.001)

0.015

  

Hotels, pubs, clubs & restaurants2

      

1.006 (1.001-1.012)

0.016

Personal crime in public space

       

400 m service area

        

Personal crime

1.077 (1.013-1.145)

0.017

1.078 (1.013-1.001)

0.018

1.054 (0.989-1.124)

0.104

1.049 (0.986-1.116)

0.131

Residential density

  

0.999 (0.997-1.001)

0.268

    

Street connectivity

  

1.000 (0.999-1.001)

0.614

    

Local destinations

    

1.003 (0.999-1.006)

0.114

  

Hotels, pubs, clubs & restaurants2

      

1.045 (1.001-1.090)

0.043

1600 m service area

        

Personal crime

1.010 (1.004-1.016)

0.001

1.009 (1.003-1.015)

0.003

1.006 (0.999-1.012)

0.098

1.004 (0.996-1.014)

0.326

Residential density

  

1.000 (0.995-1.005)

0.984

    

Street connectivity

  

1.001 (0.999-1.003)

0.469

    

Local destinations

    

1.000 (1.000-1.001)

0.041

  

Hotels, pubs, clubs & restaurants2

      

1.005 (0.998-1.012)

0.139

  1. 1From negative binomial log-linear models and represents change in walking frequency per unit increase in the spatial variable, except for burglary/personal crime variables where they represent change per increase of 10/year. All models adjust for age, sex, partner, education and IRSD. 2Subset of destinations that are likely to serve alcohol. Bold denotes p < 0.05.