Table 2 Univariate and Multivariate Logistic Regression to Characterize Associations with HIV Status among MSM in Peri-Urban Cape Town
Characteristic | Total | HIV Positive | Univariate | Multivariate | |
|---|---|---|---|---|---|
| Â | n (%) | Yes n (%) | No n (%) | OR (95% CI) | aOR (95% CI) |
Not always wearing condoms with men | 88 (47.6%) | 18 (20.5%) | 70 (79.5%) | 1.9 (1.0-3.7), * | 2.3 (1.0-5.4),** |
Received money for Transactional Sex | 24 (12.0%) | 11 (45.8%) | 13 (54.2%) | 2.9 (1.2-6.9),* | NS |
Having been blackmailed | 21 (10.5%) | 9 (42.9%) | 12 (57.1%) | 2.4 (1.0-6.2) (p = 0.06) | 4,4 (1.3-15.4), * |
Having been raped | 22 (11.0%) | 11 (50.0%) | 11 (50.0%) | 3.5 (1.4-8.5),** | 5.7 (1.6-20.2) ** |
Higher number of male partners (>5) | 35(17.7%) | 15 (42.9%) | 20 (57.1%) | 2.8.(1.3-6.1), ** | NS |
More than 26 years old | 77 (38.5%) | 26 (33.8%) | 51 (66.2%) | 2.0 (1.1 - 3.8), * | 4.2 (1.6-10.6),** |
Unemployment | 79 (39.7%) | 27 (34.2%) | 52 (65.8%) | 2.2 (1.1-4.2), * | 3.7 (1.5-9.3),** |
Less Educated | 20 (10.0%) | 10 (50.0%) | 10 (50.0%) | 3.4 (1.3.-8.8), * | NS |
Rural Origin | 102 (53.6%) | 64 (62.7%) | 38 (37.3)%) | 4.1 (2.0-8.8),** | 6.0 ( 2.2-16.7), ** |