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. 2017 Aug 3;8(51):88537–88551. doi: 10.18632/oncotarget.19877

Table 2. Multivariate linear regression for predictors of prostate volume.

Variables Controls Cases All subjects
β t p R2 β t p R2 β t p R2
Model 1
Age* 0.094 0.293 0.771 0.454 0.814 1.097 0.279 0.444 2.182 4.190 <0.001 0.499
BMI 0.001 0.391 0.698 0.006 0.656 0.516 0.004 0.604 0.547
TC -0.041 -2.8887 0.006 -0.043 -1.232 0.225 -0.006 -0.240 0.811
Triglycerides* 0.130 2.356 0.023 0.347 2.480 0.018 0.116 1.115 0.268
LDL 0.002 0.116 0.908 -0.008 -0.201 0.842 0.001 0.041 0.968
HDL* -0.192 -1.802 0.079 0.298 1.352 0.184 0.135 0.811 0.420
CRP -0.002 -0.573 0.570 0.011 0.823 0.416 0.006 0.649 0.518
Adiponectin* -0.077 -2.028 0.049 -0.276 -3.299 0.002 -0.367 -5.941 <0.001
Model 2 (stepwise method)
Age* 0.249 0.331 2.167 4.388 <0.001 0.486
Adiponectin* -0.115 -3.992 <0.001 -0.326 -4.772 <0.001 -0.395 -8.414 <0.001

* Variables were log-transformed in the analysis.

β, regression coefficient; t, t-test for β; p, p values for t-test; R2, coefficient of determination.

BMI, body mass index; LDL, low-density lipoprotein; HDL, high-density lipoprotein; CRP, C-reactive protein; TC, Total cholesterol.

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