Skip to main content
. Author manuscript; available in PMC: 2020 Aug 1.
Published in final edited form as: Inj Prev. 2018 Mar 27;25(5):350–356. doi: 10.1136/injuryprev-2018-042736

Table 2.

Univariate and multivariate results for negative binomial regression modeling of neighborhood pedestrian injury risk by census block group (n=653)

Variable Unadjusted Adjusted*
RR 95% CI p-value RR 95% CI p-value
Alcohol outlet count
(min: 0 max: 32)
1.211 1.157, 1.273 <0.001 1.142 1.099, 1.192 <0.001
Population density (per square mile in 1,000 residents)
(min: 0 max: 95.16)
0.985 0.975, 0.995 0.0122 0.979 0.970, 0.989 <0.001
Percent of all lots that are vacant (%)
(min: 0% max: 49.53%)
1.020 1.010, 1.030 <0.001 1.016 1.007, 1.026 0.003
Median household income (in $1,000s)
(min: 0 max: 224.43)
0.992 0.988, 0.996 <0.001 0.991 0.988, 0.995 <0.001
Mean daily traffic volume (in 1,000 vehicles) (spatial lag of traffic)
(min: 0.07 max: 33.34)
1.100 1.065, 1.138 <0.001 1.076 1.059, 1.126 <0.001
Walk Score
(range: 0–100)
1.028 1.022, 1.035 <0.001 1.018 1.011, 1.025 <0.001
Physical disorder
(range: 0–12)
1.045 0.995, 1.096 0.144 --
Social activity
(range: 0–6)
0.985 0.814, 1.192 0.893 --
Roadway infrastructure
(range: 0–8)
0.890 0.524, 1.513 0.713 --
Intersection infrastructure
(range: 0–21)
1.174 1.122, 1.230 <0.001 --
Distance from downtown (miles)
(min: 0 max: 7.5)
0.792 0.749, 0.837 <0.001 --
*

Adjusted for other covariates in the column

Final model fit statistics: AIC=1898; Residual Moran’s I=0.0225, p=0.137