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Table 4 Neighbourhood objective criminality rates and feelings of safety. Results from multiple multilevel logistic regression models

From: Assessing the role of criminality in neighbourhood safety feelings and self-reported health: results from a cross-sectional study in a Dutch municipality

 

Each type of crime included in a separate model

Final multivariable model

Feeling unsafe

Feeling unsafe at night

Feeling unsafe

Feeling unsafe at night

OR [95% CI]

N in the model

8380

8478

8380

8478

Thefts

1.02 [1.01;1.02]

1.03 [1.02;1.04]

Burglaries

1.20 [1.16;1.24]

1.18 [1.14;1.23]

Violent crimes

1.45 [1.36;1.55]

1.54 [1.41;1.67]

1.24 [1.02;1.51]

1.29 [1.10;1.51]

Traffic nuisance

1.21 [1.16;1.27]

1.27 [1.19;1.34]

Nuisance caused by neighbours

1.24 [1.21;1.28]

1.23 [1.19;1.26]

1.18 [1.08;1.30]

1.18 [1.09;1.27]

Vandalism

1.46 [1.36;1.57]

1.54 [1.41;1.68]

  1. Results from multilevel logistic regression models (individuals clustered in the neighbourhoods). Perceived safety factors are scored on the scale 0 (best) to 10 (worst); All models adjusted for age, gender, education, and income