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. Author manuscript; available in PMC: 2020 Feb 1.
Published in final edited form as: AIDS Behav. 2019 Feb;23(2):318–335. doi: 10.1007/s10461-018-2217-z

Table 5.

Final multivariable multilevel logistic models regressing individual and place covariates on the odds of having an HIV test (past year) in a sample of self-reported HIV-negative PWID (N = 7477), drawn from the 2012 Centers for Disease Control and Prevention’s National HIV Behavioral Surveillance

Individual- and place-level characteristics Model A: full final model, including possible individual-level mediators Model B: full final model, with age gender only


AOR p value AOR p value
Individual-level
 Age (1 SD = 11.2 years) 0.78 < 0.0005 0.76 < 0.0005
 Gender (ref = female) 0.93 0.21 0.91 0.10
 Annual household Income (1 SD = $15,000) 1.03 0.23
 High-school graduate/General equivalency diploma (ref: no diploma/GED) 1.13 0.03
 Employed full time (ref: not employed full time) 0.93 0.61
 Currently homeless (ref: not currently homeless) 1.20 0.001
 Injection daily (ref: less than daily) 1.11 0.08
 Years since first injection (1 SD = 13.6 years) 0.98 0.59
 Race/ethnicity
  Black/white 0.65 0.14 0.67 0.17
  Latino/White 0.89 0.77 0.88 0.73
Place-level
 Metropolitan statistical area (MSA)
  Social
   Male:female sex ratio:more females versus equity 1.81 < 0.0005 1.78 < 0.0005
  Economic
   Median Income (USD)(1 SD = $14,522) 1.30 0.01 1.30 0.01
  Health and law enforcement interventions
   Per capita expenditures corrections (USD) (1 SD = $44.7)
  Interaction effects
   White (ref) 1.09 0.28 1.10 0.24
   Black/white 1.15 0.02 1.14 0.02
   Latino/White 1.30 0.01 1.28 0.02
 County
  Health and law enforcement interventions
   Percent of residents without health insurance (1 SD = 8.7%)
  Interaction effects
   White (ref) 1.04 0.79 1.04 0.77
   Black/white 1.16 0.08 1.14 0.11
   Latino/White 0.89 0.19 0.89 0.19

Random intercept Estimate SE (Est) Estimate SE (Est)

MSA 0.01 0.06 0.02 0.05
County 0.07 0.06 0.06 0.06
Zip code 0.02 0.02 0.03 0.02

Hierarchical generalized linear models were applied to account for place-based clustering