Table 2 Logistic regression analyses for the prediction of prostate cancer

1.06 (1.032–1.085)

 < 0.001

1.05 (1.020–1.086)

0.001

1.06 (1.028–1.101)

 < 0.001

1.05 (1.006–1.092)

0.025

0.97 (0.957–0.983)

 < 0.001

0.96 (0.942–0.975)

 < 0.001

0.50 (0.310–0.815)

0.049

0.57 (0.322–0.999)

0.050

 < 0.001

 < 0.001

2.97 (1.854–4.754)

 < 0.001

2.62 (1.544–4.449)

 < 0.001

20.33 (9.010–45.851)

 < 0.001

12.70 (5.268–30.597)

 < 0.001

1.63 (1.088–2.432)

0.018

1.77 (1.087–2.868)

0.022