Table 1.
Univariable and multivariable models for HIV and STI testing. Predictor variables found to be independently statistically significantly associated with HIV testing (p<0.05) were included in the multivariable logistic regression model.
| Predictor | Outcome: Has tested for HIV | Outcome: Has tested for STIs | ||
|---|---|---|---|---|
| Univariable | Multivariable | Univariable | Multivariable | |
| *†Age (Continuous) | P=0.01, OR: 1.19 (1.04, 1.36) | P=0.0095, AOR: 1.25 (1.06, 1.49) | P=0.92, 1.00 (0.97, 1.04) | |
| *Primary Language: | ||||
| (Only Spanish vs Else) | P=0.02, OR: 0.23 (0.07, 0.84) | P=0.06, AOR: 0.23 (0.05, 1.10) | P=0.13, OR: 0.62 (0.33, 1.16) | |
| *†Education Level: | ||||
| (H.S. Grad+ vs H.S. dropout) | P=0.01, OR: 6.00 (1.44, 24.99) | P=0.03, AOR: 8.15 (1.19, 55.69) | P=0.053, OR: 2.38 (0.99, 5.70) | |
| Employment Status: (Employed vs Unemployed) | P=0.77, OR: 1.19 (0.35, 4.07) | P=0.58, OR: 1.19 (0.65, 2.17) | ||
| Country of Birth: (USA vs Other) | P=0.11, OR: 5.41(0.67, 43.88) | P=1.00, OR: 1.00 (0.51, 1.95) | ||
| *Health Insurance: (Insured vs Uninsured) | P=0.03, OR: 9.42 (1.17, 76.05) | P=0.21, AOR: 4.27 (0.44,41.85) | P=0.91, OR: 1.04 (0.56, 1.91) | |
| In a Relationship (Yes=1) | P=0.07, OR: 3.20 (0.89, 11.42) | P=0.86, OR: 1.06 (0.56, 2.02) | ||
| Above cut-off CES-D level for major depression | P=0.22, OR: 0.37 (0.08, 1.82) | P=0.08, OR: 0.55 (0.28, 1.09) | ||
| Self-reported Health: | ||||
| (Poor/Fair vs. Else) | P=0.14, OR: 0.39 (0.11, 1.38) | P=0.46, OR: 0.77 (0.38, 1.55) | ||
| # of Partners in past 3 months | ||||
| (2 or more vs. 1 or zero) | P=0.06, OR:3.60 (0.91, 14.19) | P=0.54, OR: 0.82 (0.44, 1.53) | ||
| Unprotected sex in past 3 months (Yes=1) | P=0.71, OR: 0.80 (0.24, 2.70) | P=0.29, OR: 0.72 (0.39, 1.33) | ||
*
p<0.05 for HIV testing in univariable model
†
p<0.05 for HIV testing in multivariable model