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. 2014 Jul 26;11:100. doi: 10.1186/s12966-014-0100-5

Table 4.

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

Variable Model 1 Model 2 Model 3a Model 3b
Crime Crime + residential density + street connectivity Crime + local destinations Crime + hotels, pubs, clubs & restaurants 1
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

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.