Table 2.
Multiple logistic regression model of factors predicting men being unaware (no/yes) of PSA screening status (N = 142)
| Adjusted odds ratio (95 % CI) | p valuea | |
|---|---|---|
| Highest education achieved | ||
| Any college/post-secondary | Reference | |
| ≤High school | 4.347 (1.723–10.970) | 0.002 |
| Plan to get tested for prostate cancer | ||
| Yes | Reference | |
| No | 3.356 (1.361–8.272) | 0.009 |
| Prostate cancer knowledge | ||
| >50 % correct | Reference | |
| ≤50 % correct | 2.378 (1.040–5.434) | 0.040 |
| Efficacy to discuss prostate cancer testing with physician | ||
| High | Reference | |
| Low | 1.309 (0.572–2.994) | 0.524 |
| Physician recommended PSA test (T2) | ||
| Yes | Reference | |
| No | 24.574 (5.904–102.289) | 0.000 |
R2 = .29 (Hosmer & Lemeshow), .33 (Cox & Snell), .44 (Nagelkerke). Model Chi Square (df = 5) = 56.15, p<.001
Two-sided p values. Unless otherwise noted, variables measured at Time 1. T2 = Time 2