Skip to main content
. Author manuscript; available in PMC: 2024 Jul 24.
Published in final edited form as: AIDS. 2017 Jun 19;31(10):1483–1488. doi: 10.1097/QAD.0000000000001501

Table 2.

Crude and adjusted model results with 1-year lag for HIV diagnoses and AIDS diagnoses by HIV criminal exposure law and selected demographic state-level characteristics, United States.

Models
Crude Adjusted
β (95% CI) P β (95% CI) P
HIV diagnoses, states, 2001–2010 (n = 33)
 HIV criminal exposure law 0.09 (−0.34, 0.52) 0.69 0.08 (−0.18, 0.34) 0.55
 Median household income 0 0.63
 Unemployment rate 0.08 (0.03, 0.14) 0.005
Percentage of population
 Hispanic 0.02 (0.0004, 0.04) 0.05
 Non-Hispanic black 0.06 (0.04, 0.07) <0.0001
 Non-Hispanic white −0.04 (−0.05, −0.02) <0.0001
 Below poverty level 0.08 (0.03, 0.12) 0.001
 Less than high school education 0.11 (0.08, 0.15) <0.0001 0.12 (0.09, 0.15) <0.0001
 Residing in urban areas 0.03 (0.01, 0.04) <0.0001 0.03 (0.02, 0.04) <0.0001
AIDS diagnoses, states, 1994–2010 (n = 50)
 HIV criminal exposure law −0.15 (−0.57, 0.28) 0.30 −0.01 (−0.27, 0.26) 0.95
 Median household income 0 0.39
 Unemployment rate 0.08 (0.004, 0.15) 0.04
Percentage of population
 Hispanic 0.02 (0.003, 0.04) 0.03
 Non-Hispanic black 0.06 (0.04, 0.07) <0.0001
 Non-Hispanic white −0.03 (−0.05, −0.02) 0.0001
 Below poverty level 0.05 (−0.002, 0.09) 0.06
 Less than high school education 0.10 (0.06, 0.13) <0.0001 0.10 (0.08, 0.12) <0.0001
 Residing in urban areas 0.03 (0.02, 0.04) <0.0001 0.03 (0.02, 0.04) <0.0001

CI, confidence interval.