Table 3.
Comparing HIV testing behaviors and sexual behaviors in the past 6 months measured at baseline and follow-up (n = 412).
| Baseline | Follow-up a | P -values | |
|---|---|---|---|
| % Yes | % Yes | ||
| Sexual behaviors | |||
| Condomless anal intercourse with regular male sex partners | 24.0 | 34.5 | 0.002 |
| Condomless anal intercourse with non-regular male sex partners | 12.4 | 16.2 | 0.34 |
| Condomless anal intercourse with male sex workers | 2.4 | 12.9 | <0.001 |
| Sexualized drug use | 12.1 | 21.6 | 0.001 |
| Utilization of HIV prevention services | |||
| HIV testing at community-based organization in Shenzhen | 11.4 | 51.6 | <0.001 |
| HIV testing at public hospitals or CDC in Shenzhen | 20.6 | 35.2 | <0.001 |
| HIV testing at private hospitals in Shenzhen | 4.9 | 13.1 | <0.001 |
| HIV testing at other organizations in Shenzhen | 9.2 | 17.2 | 0.01 |
| HIV testing outside Shenzhen | 18.0 | 23.3 | 0.16 |
| Home-based HIV self-testing | 42.7 | 52.4 | 0.001 |
| Any type of HIV testing | 59.2 | 77.9 | <0.001 |
Multiple imputation was performed to replace missing values at Month 6. Markov chain Monte Carlo methods were used for data with an arbitrary pattern of missing values, while Monotone methods were used for data having a monotone pattern of missing values. Predictors included baseline background characteristics and baseline value of the variable with missing values at Month 6. The bold values indicate the values of p < 0.05 which are statistically significant.