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. 2014 Dec 16;9(12):e115294. doi: 10.1371/journal.pone.0115294

Table 3. Relationship between various risk factors including serum bilirubin and estimated glomerular filtration rate.

Multiple linear regression
Pearson's correlation Forced method Stepwise method
Characteristic r (P-value) β (P-value) β (P-value)
Gender (male = 0, female = 1) −0.08 (0.007) −0.10 (<0.001) −0.08 (<0.001)
Age −0.36 (<0.001) −0.29 (<0.001) −0.29 (<0.001)
Body mass index −0.06 (0.039) −0.04 (0.123) ------
Smoking status 0.05 (0.108) −0.03 (0.272) ------
Systolic blood pressure 0.05 (0.137) ------ ------
Diastolic blood pressure 0.17 (<0.001) 0.04 (0.101) ------
antihypertensive medication −0.18 (<0.001) −0.07 (0.002) −0.08 (<0.001)
Triglycerides −0.18 (<0.001) −0.06 (0.021) −0.06 (0.010)
HDL cholesterol 0.10 (0.001) 0.00 (0.869) ------
LDL cholesterol 0.05 (0.110) 0.03 (0.327) ------
Antidyslipidemic medication 0.00 (0.921) −0.02 (0.434) ------
Fasting blood glucose −0.04 (0.171) −0.02 (0.471) ------
Antidiabetic medication −0.06 (0.058) −0.07 (0.010) −0.08 (0.001)
Serum uric acid −0.58 (<0.001) −0.52 (<0.001) −0.53 (<0.001)
Serum bilirubin 0.18 (<0.001) 0.11 (<0.001) 0.11 (<0.001)
R2 ------ 0.47 (<0.001) 0.47 (<0.001)

r, Pearson's correlation coefficient; β, standardized coefficient; R2, multiple coefficient of determination. Data for triglycerides, fasting plasma glucose, and serum bilirubin were skewed and log-transformed for analysis.