Table 3.
Associations between meth use and HIV sexual risk in the past 4 months (n=3,328)
| WOMEN | MEN | |||||||
|---|---|---|---|---|---|---|---|---|
| Total n=1,455 | Meth n=95 | No meth n=1,360 | AOR (95% CI)1 | Total n=1,873 | Meth n=117 | No meth n=1,756 | AOR (95% CI)1 | |
| MSM behavior | -- | -- | -- | 11.8% | 18.3% | 11.4% | 1.65 (0.99 – 2.75) | |
| Multiple partners | 19.5% | 28.4% | 18.9% | 2.42** (1.46 – 4.01) | 44.6% | 56.4% | 44.2% | 1.79** (1.18 – 2.71) |
| Unprotected sex | 44.2% | 66.3% | 42.6% | 2.45** (1.56 – 3.84) | 48.8% | 60.0% | 48.0% | 1.45 (0.98 – 2.17) |
| “Sold” sex | 5.1% | 16.8% | 4.2% | 6.34** (3.26 – 12.35) | 9.5% | 31.6% | 8.1% | 4.64*** (2.96 – 7.27) |
| “Bought” sex | 2.6% | 6.3% | 2.4% | 3.45** (1.31 – 9.06) | 10.0% | 28.2% | 8.7% | 4.80*** (3.03 – 7.61) |
| Sexually transmitted infection | 4.8% | 11.6% | 4.4% | 3.84*** (1.84 – 8.02) | 6.7% | 15.55% | 5.9% | 2.95*** (1.66 – 5.26) |
| HIV-positive | 8.3% | 8.6% | 8.2% | 1.46 (0.59 – 3.59) | 6.6% | 15.2% | 6.1% | 3.93 (1.83 – 8.45)*** |
1
Bivariate logistic regression models controlling for age, race/ethnicity, and education.
*
p<.05,
**
p<.01,
***
p<.001