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Table 2 Univariate and Multivariate Logistic Regression to Characterize Associations with HIV Status among MSM in Peri-Urban Cape Town

From: HIV Risk and Associations of HIV Infection among men who have sex with men in Peri-Urban Cape Town, South Africa

Characteristic Total HIV Positive Univariate Multivariate
  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), **
  1. ± Not all columns add up due to missing values
  2. *p < 0.05
  3. **p < 0.01
  4. NS - Not Significant