Table 2.
Multivariable Generalized Linear Mixed Effects Models (GLMM) Regression Models of Individual and Network Characteristics on Likely Future PrEP Use
Full Model (n=184) |
Reduced Model (n=206) | |
---|---|---|
aOR, (95% CI) | aOR, (95% CI) | |
| ||
Perceived risk of HIV □ | 1.40 (0.83, 2.37) | 1.82 (1.14, 2.92) |
Barriers to HIV testing □ | 4.35 (1.72, 10.99) | 4.76 (1.66, 13.63) |
Likely to HIV test in the future | 1.23 (0.92, 1.64) | |
Homeless (past 6m) | 1.37 (0.47, 3.94) | |
Arrested (ever) | 0.84 (0.20, 3.48) | |
Discrimination (MDSR) □ | 0.91 (0.73, 1.14) | |
Ever been forced to have sex | 1.36 (0.50, 3.74) | |
Consumed alcohol (past 6m) | 2.58 (0.67, 9.96) | |
12-step participation (AA or NA; ever) | 3.71 (1.18, 11.71) | 4.39 (1.39, 13.85) |
Casual sex partner (past 6m) | 1.07 (0.36, 3.12) | |
Unprotected sex (past 6m) | 1.13 (0.29, 4.37) | |
Network proportion family ◊ | 1.06 (0.89, 1.26) | |
Network proportion friend ◊ | 0.87 (0.74, 1.02) | 0.82 (0.67, 0.99) |
Network proportion female ◊ | 0.95 (0.75, 1.19) | |
Network proportion regularly HIV testing ◊ | 1.22 (1.03, 1.44) | 1.27 (1.06, 1.53) |
aOR in terms of a one-unit increase on the scale: Perceived risk range 0–4; Barriers to HIV testing scale range 0–4.9; Discrimination scale range 0–10)
The unit for network proportion variables is .10, so aORs are applied to a 10% increase in the network proportion with a particular trait.