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. 2018 Jun 8;46(9):3656–3664. doi: 10.1177/0300060518777173

Table 1.

Binary logistic regression results without confounding factor correction

B SE Wald df P Exp(B) 95% CI of Exp(B)
Step 11 Age 0.106 0.010 112.713 1 <0.001 1.112 1.090–1.134
UA −0.004 0.001 12.842 1 <0.001 0.996 0.993–0.998
TG −0.538 0.081 43.631 1 <0.001 0.584 0.498–0.685
HDL-C −2.846 0.511 31.006 1 <0.001 0.058 0.021–0.158
LDL-C −0.925 0.152 37.011 1 <0.001 0.396 0.294–0.534
APOA1 −2.503 0.571 19.195 1 <0.001 0.082 0.027–0.251
APOB100 3.582 0.690 26.924 1 <0.001 35.959 9.293–139.149
Lp(a) 0.001 0.001 5.726 1 0.017 1.001 1.000–1.002
HCY 0.198 0.024 69.720 1 <0.001 1.219 1.164–1.277
DBIL −0.197 0.065 9.339 1 0.002 0.821 0.723–0.932
γ-GT 0.010 0.002 16.406 1 <0.001 1.010 1.005–1.014
Constant 1.053 1.226 0.738 1 0.390 2.866

B, coefficient value; SE, standard error; df, degrees of freedom; 95% CI, 95% confidence interval; UA, uric acid; TG, triglycerides; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; APOA1, apolipoprotein A1; APOB100, apolipoprotein B100; Lp(a), lipoprotein a; HCY, homocysteine; DBIL, direct bilirubin; γ-GT, γ-glutamyl transferase.