Table 3.
Multiple Logistic Regression for Housing Status on Substance Use and Sexual Risk Behavior
Unstably Housed n=406 | Homeless n=70 | Controlled Environment n=46 | ||||
---|---|---|---|---|---|---|
Stably Housed (n=759) as Reference | aOR (95% Cl) | p value | aOR (95% Cl) | p value | aOR (95% Cl) | p value |
Substance Use | ||||||
Risky drinking | 1.14 (0.87, 1.48) | 0.35 | 1.09 (0.63, 1.86) | 0.77 | 0.35 (0.15, 0.80) | 0.01 |
Problematic drug use (Dast-10 ≥ 6) | 1.28 (0.99, 1.66) | 0.06 | 1.36 (0.81, 2.30) | 0.24 | 1.36 (0.72, 2.58) | 0.34 |
Any drug use | 1.22 (0.88, 1.68) | 0.22 | 1.31 (0.69, 2.49) | 0.42 | 0.43 (0.21, 0.88) | 0.02 |
Club drugsa | 0.90 (0.55, 1.47) | 0.68 | 0.22 (0.01, 1.14) | 0.15 | 0.12 (0.01, 0.60) | 0.04 |
Cocaine | 1.35 (1.04, 1.75) | 0.03 | 1.01 (0.60, 1.71) | 0.96 | 0.96 (0.51, 1.83) | 0.91 |
Speeda | 0.90 (0.58, 1.38) | 0.62 | 0.58 (0.20, 1.71) | 0.32 | 1.30 (0.54, 3.16) | 0.56 |
Opioids | 1.24 (0.95, 1.62) | 0.11 | 0.73 (0.41, 1.32) | 0.30 | 0.83 (0.41, 1.65) | 0.59 |
Stimulants and opioids | 1.16 (0.86, 1.58) | 0.33 | 0.63 (0.31, 1.28) | 0.20 | 1.01 (0.48, 2.09) | 0.98 |
Marijuana | 1.09 (0.83, 1.43) | 0.52 | 0.94 (0.55, 1.63) | 0.84 | 0.62 (0.31, 1.24) | 0.18 |
Tranquilizers/Barbituratesa | 1.26 (0.93, 1.72) | 0.14 | 0.73 (0.34, 1.54) | 0.40 | 0.92 (0.41, 2.06) | 0.84 |
Othera | 0.91 (0.56, 1.50) | 0.73 | 2.31 (1.10, 4.85) | 0.03 | 0.73 (0.17, 3.19) | 0.68 |
Sexual risk behaviors (Condomless sex with) | ||||||
Multiple partner | 1.49(1.04, 2.12) | 0.03 | 0.65 (0.31, 1.38) | 0.26 | 0.80 (0.34, 1.88) | 0.61 |
Non-primary partner | 1.47(1.10, 1.97) | 0.01 | 1.08 (0.57, 2.04) | 0.82 | 0.93 (0.45, 1.94) | 0.85 |
Vaginal sex | 1.09 (0.83, 1.42) | 0.53 | 0.57 (0.34, 0.96) | 0.03 | 0.73 (0.38, 1.40) | 0.34 |
Anal sex | 1.09 (0.80, 1.50) | 0.58 | 0.77 (0.37, 1.57) | 0.46 | 1.17 (0.55, 2.46) | 0.69 |
Substance use | 1.23 (0.95, 1.60) | 0.12 | 0.54 (0.30, 0.97) | 0.04 | 0.78 (0.40, 1.51) | 0.46 |
HIV unknown serostatus partner | 1.33 (1.00, 1.77) | 0.05 | 0.99 (0.53, 1.85) | 0.98 | 0.74 (0.35, 1.55) | 0.42 |
Note. Demographic characteristics and IDU history were controlled.
Exact multiple logistic regression model was fitted.