Table 3.

Log-binomial regression modeling of association between perceived community safety stressors and self-reported doctor-diagnosed respiratory illness

Independent variable	Crude model		Minimally-adjusted model		Fully-adjusted model
	PR (95% CI)	p-value	PR (95% CI)	p-value	PR (95% CI)	p-value
Total Population
“I do not feel safe walking in my community, day or night.”	1.31 (1.02, 1.67)	0.03*	1.34 (1.05, 1.71)	0.02*	1.37 (1.07, 1.74)	0.01*
“Violence or crime is a problem in my community.”	1.38 (1.09, 1.74)	< 0.01*	1.34 (1.06, 1.70)	0.02*	1.36 (1.07, 1.72)	0.01*
Lack of perceived community safety construct	1.41 (1.11, 1.79)	< 0.01*	1.39 (1.10, 1.77)	< 0.01*	1.39 (1.09, 1.76)	< 0.01*
Region A Only
Lack of perceived community safety construct	1.83 (1.03, 3.23)	0.04*	1.98 (1.09, 3.58)	0.02*	1.79 (0.97, 3.28)	0.06
Region B Only
Lack of perceived community safety construct	1.47 (1.02, 2.12)	0.04*	1.44 (1.00, 2.07)	0.05	1.41 (0.98, 2.04)	0.06
Region C Only
Lack of perceived community safety construct	1.24 (0.83, 1.85)	0.29	1.12 (0.75, 1.69)	0.58	1.14 (0.75, 1.72)	0.55
Regions A & B
“I do not feel safe walking in my community, day or night.”	1.48 (1.10, 1.98)	< 0.01*	1.54 (1.15, 2.06)	< 0.01*	1.59 (1.18, 2.14)	< 0.01*
“Violence or crime is a problem in my community.”	1.43 (1.07, 1.91)	0.02*	1.44 (1.07, 1.93)	0.02*	1.43 (1.07, 1.93)	0.02*
Lack of perceived community safety construct	1.52 (1.12, 2.07)	< 0.01*	1.56 (1.15, 2.11)	< 0.01*	1.52 (1.12, 2.07)	< 0.01*

*Denotes a statistically significant p-value at alpha-level ≤ 0.05 from chi-square statistic

Referent category for each independent variable is not shown in the Table (PR = 1.00)

Minimally-adjusted model covariables: age, gender, race/ethnicity, smoking status, smoke exposure, residential duration, environmental hazard region

Fully-adjusted model covariables: minimally-adjusted model + insurance status, unemployment, number of household members

PR = prevalence ratio, 95% CI = 95% confidence interval