Predictors of STI
| Variable name | STI as dependent variable | |||
|---|---|---|---|---|
| N | AOR | 95% CI | p Value | |
| HIV status | 198* | 0.951 | 0.375 to 2.407 | 0.915 |
| Receptive anal sex without condoms | 3.69 | 1.471 to 9.254 | 0.0054 | |
| Insertive anal sex without condoms | 0.908 | 0.353 to 2.339 | 0.842 | |
| City (Dar es Salaam vs Tanga) | 8.217 | 2.519 to 26.809 | 0.0005 | |
| Number of gay men over 15 known | 1.03 | 0.996 to 1.064 | 0.0836 | |
| Number of gay men seen in the last 1 month | 0.96 | 0.916 to 0.998 | 0.038 | |
| Ever been forced to have sex | 0.54 | 0.236 to 1.228 | 0.1411 | |
| Age at first sex with a man | 0.97 | 0.869 to 1.090 | 0.6415 | |
| Earned income selling sex | 1.83 | 0.810 to 4.148 | 0.1457 | |
*Although 300 participants were entered into the regression model, only 199 participants were used in computing ORs for the variables above, because logistic regression models use list-wise deletions for in the regression process. Thus participants that have missing values for any of the variables above will be removed in the regression process and will not be used in computing ORs. That is, only 199 participants have non-missing values for all the variables above. AORs were adjusted for all the variables shown in the table.
AOR, adjusted OR; STI, sexually transmitted infection.