Table 4.
Predicting sexual health visits among participants with a history of sexual coercion (N = 120), using logistic regression analysis
| PREDICTOR* | β COEFFICIENT | STANDARD ERROR | WALD STATISTIC | P VALUE | ODDS RATIO | 95% CI |
|---|---|---|---|---|---|---|
| Sex | −1.108 | 0.583 | 3.610 | .057 | 0.330 | 0.105 to 1.036 |
| Age | −.036 | 0.191 | 0.036 | .850 | 0.965 | 0.664 to 1.402 |
| Sexual relationship status | 0.396 | 0.490 | 0.654 | .419 | 1.486 | 0.569 to 3.884 |
| Number of past sexual partners | −.052 | 0.034 | 2.335 | .127 | 0.949 | 0.887 to 1.015 |
| Routine checkup | 2.115 | 0.509 | 17.243 | < .001† | 8.286† | 3.054 to 22.48 |
| Difficulty accessing care | 0.552 | 0.269 | 4.23 | .040‡ | 1.737‡ | 1.026 to 2.940 |
| Current distress | 0.032 | 0.136 | 0.054 | .816 | 1.032 | 0.791 to 1.346 |
| Current psychological functioning | 0.521 | 0.454 | 1.318 | .251 | 1.684 | 0.692 to 4.103 |
↵*
, P < .001. Nagelkerke R2 = .31.↵† The odds of having a sexual health–specific appointment among participants who had a routine checkup increased more than 8 times compared with those who had not had a routine checkup; results are statistically significant.
↵‡ The odds of having a sexual health–specific appointment among participants who believed it was not difficult to access care increased almost 2 times compared with those who believed it was difficult to access care; results are statistically significant.
