Table 7.

Associations between objective crime measures and self-perceived health. Results from multiple logistic regression models, each crime measure in a separate model

n=8,591	Base model:	Sensitivity analyses Models additionally adjusted for neighborhood population density
	Poor vs good health OR [95% CI]
Thefts	0.98 [0.97;0.99]	0.98 [0.97; 0.99]
Burglaries	0.97 [0.91;1.02]	0.97 [0.92; 1.03]
Violent crimes	0.92 [0.83;1.03]	0.90 [0.81; 1.01]
Traffic nuisance	0.92 [0.84;1.00]	0.91 [0.83 ;1.00]
Nuisance by neighbors	1.00 [0.96;1.05]	0.99 [0.95; 1.05]
Vandalism	0.91 [0.81;1.02]	0.89 [0.79; 1.01]

Results from multilevel logistic regression models (individuals clustered in the neighborhoods); All models adjusted for age, gender, education, income

Significant estimates (at 5% level) are in bold

Significant estimates (at 5% level) are in bold.