Table 1.

Full (i.e., with all the predictors) and subset (i.e., the best subset of predictors that explain the response) model results for HIV diagnoses and percentage change in HIV prevalence by HIV criminal exposure law and state-specific demographic characteristics in the United States. Bold numbers indicate a significant association (P < 0.05).

	Models
	Full model		Subset model
	β (±SE)	P	β (±SE)	P
Proportion of HIV diagnoses, states, 2008-2012
HIV criminal exposure law	-0.042 (0.017)	0.016	-0.042 (0.016)	0.010
Median household income	0.000 (0.002)	0.873	0.000 (0.002)	0.886
Unemployment rate	0.004 (0.001)	<0.001	0.003 (0.001)	<0.001
Population size	0.028 (0.007)	<0.001	0.027 (0.007)	<0.001
Percentage of population
Less than high school education	-0.047 (0.005)	<0.001	-0.045 (0.005)	<0.001
Residing in urban areas	-0.016 (0.009)	0.083
Below poverty level	0.001(0.001)	0.646	0.001 (0.001)	0.340
Hispanic or Latino	-0.024 (0.022)	0.283	-0.026 (0.019)	0.164
Non-Hispanic black	-0.019(0.015)	0.202	-0.017 (0.013)	0.177
Non-Hispanic white	-0.038(0.020)	0.059	-0.032 (0.018)	0.086
Annual percentage change in HIV prevalence, states, 2009-2012
HIV criminal exposure law	0.625 (0.305)	0.040	0.712 (0.280)	0.011
Median household income	-0.153 (0.192)	0.425
Unemployment rate	-0.343 (0.113)	0.002	-0.311(0.113)	0.006
Population size	0.135 (0.164)	0.409
Percentage of population
Less than high school education	0.199 (0.144)	0.167	0.326 (0.136)	0.017
Residing in urban areas	0.338 (0.159)	0.034	0.351 (0.133)	0.008
Below poverty level	-0.102 (0.180)	0.574
Hispanic or Latino	-0.284 (0.157)	0.071	-0.376 (0.145)	0.010
Non-Hispanic black	0.185 (0.128)	0.149
Non-Hispanic white	0.083 (0.110)	0.449