Table 3.
Binary logistic regression analysis predicting monkeypox exposure mitigation
| Correlates | B | SE | Adjusted OR | 95% CI |
|---|---|---|---|---|
| Age | 0.002 | 0.006 | 1.002 | 0.989–1.015 |
| Rurality | −4.161 | 0.648 | 0.016** | 0.004–0.055 |
| Region | 0.034 | 0.094 | 1.034 | 0.861–1.243 |
| Gender identity | −0.040 | 0.302 | 0.961 | 0.532–1.735 |
| Sexual orientation | 0.366 | 0.297 | 1.442 | 0.806–2.581 |
| Race | 0.701 | 0.194 | 2.015** | 1.378–2.948 |
| Education level | 0.113 | 0.148 | 1.119 | 0.838–1.495 |
| Annual household income | 0.061 | 0.051 | 1.063 | 0.962–1.175 |
| Oral sex with non-primary partner (past 6 mos.) | 0.652 | 0.276 | 1.919* | 1.116–3.299 |
| Condomless anal sex with non-primary partner (past 6 mos.) | −0.025 | 0.205 | 0.975 | 0.652–1.459 |
*p < .05, **p < .001