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. 2019 Jul 9;19:920. doi: 10.1186/s12889-019-7197-z

Table 11.

Sensitivity analyses 3: Associations between perceived criminality (by type of crime) at neighborhood level, feeling unsafe (at night) and self-rated health. Models additionally adjusted for population density

Base model:
Perception of each type of crime included in a separate model
Variation 1:
Multivariable model including thefts, burglaries, violent crimes, traffic nuisance, vandalism (excluded: nuisance)
Variation 2:
Multivariable model including thefts, burglaries, traffic nuisance, nuisance vandalism (excluded: violent crimes)
Base model:
Perception of each type of crime included in a separate model
Feeling unsafe Feeling unsafe at night Feeling unsafe Feeling unsafe at night Feeling unsafe Feeling unsafe at night Poor health
N included in the model between 5,154 and 8,026 between 5,219 and 8,129 4,574 4,626 4,429 4,478

between 5,237

and 8,216

Feel unsafe vs feel safe

OR [95% CI]

Poor vs good health

OR [95% CI]

Perceived frequency of thefts 1.78 [1.53; 2.06] 1. 70 [1.49;1.93] 1.15 [1.11;1.20] 1.14 [1.10;1.19] 1.13 [1.08;1.17] 1.10 [1.06;1.15] 1.04 [0.95; 1.14]
Perceived frequency of burglaries 1.35 [1.14;1.60] 1.30 [1.11;1.52] 1.03 [1.01;1.06] 1.05 [1.03;1.08] 1.06 [1.03;1.09] 1.06 [1.03;1.09] 1.07 [0.99;1.17]
Perceived frequency of violent crimes 2.16 [1.84;2.53] 1.86 [1.56;2.18] 1.28 [1.23;1.33] 1.18 [1.12;1.23] Not includeda Not includeda 1.13 [1.02;1.26]
Perceived frequency of traffic nuisance 1.67 [1.40; 1.99] 1.44 [1.21;1.71] 1.13 [1.11;1.16] 1.10 [1.07;1.12] 1.11 [1.09;1.14] 1.08 [1.05;1.11] 1.15 [1.05; 1.26]
Perceived frequency of nuisance by neighbours 1.74 [1.41;2.13] 1.67 [1.40;1.98] Not includeda Not includeda 1.39 [1.33;1.46] 1.33 [1.27;1.40] 1.02 [0.91;1.13]
Perceived frequency of vandalism 1.57 [1.35;1.84] 1.36 [1.19;1.57] 1.03 [1.01;1.05] 1.03 [1.01;1.05] 1.02 [1.00 ;1.05] 1.02 [1.00;1.04] 1.03 [0.94;1.13]

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

aFrequency of violent crimes and nuisance could not be added to the model at the same time due to collinearity problem

Significant estimates (at 5% level) are in bold