Table 2.
Multivariable Logistic Regression of PrEP Use on Participant Characteristics, N=394, YMAP HIV Negative Adult Cohort, Chicago and Houston 2014–2016
| Multivariable ORa (95% CI) | p-value | |
|---|---|---|
| Age in years | 0.93 (0.79–1.08) | 0.321 |
| Race/Ethnicity | ||
| White | 1.0 (ref) | — |
| Black | 0.16 (0.06–0.43) | <0.001 |
| Hispanic | 0.56 (0.19–1.69) | 0.294 |
| Other | 0.49 (0.08–3.17) | 0.442 |
| City | ||
| Houston | 1.0 (ref) | — |
| Chicago | 2.41 (1.01–5.75) | 0.048 |
| Health insurance | 4.55 (0.65–31.8) | 0.122 |
| Network size, median split (≥15 vs. <15) | 2.29 (1.10–4.79) | 0.029 |
| Any HIV positive partner | 4.71 (1.69–13.1) | 0.004 |
| Any group sex | 3.37 (1.45–7.86) | 0.006 |
a
Odds ratios generated from logistic regression on ever use of PrEP adjusted for clustering by recruitment chain and RDS weights. Odds ratios are adjusted for all variables for which estimates are presented. Age and health insurance status were retained in the model based on conceptual relevance despite lack of statistical significance.