Table 2. Relationship between serum bilirubin and variables within each gender.
Men N = 325 | Women N = 509 | |
Characteristics | r (P-value) | r (P-value) |
Age | −0.061 (0.271) | −0.073 (0.100) |
Body mass index | 0.096 (0.084) | 0.087 (0.049) |
Smoking status | 0.087 (0.118) | 0.022 (0.625) |
Systolic blood pressure | 0.064 (0.249) | −0.006 (0.884) |
Diastolic blood pressure | 0.143 (0.010) | 0.041 (0.357) |
Antihypertensive medication (No = 0, Yes = 1) | −0.048 (0.391) | 0.028 (0.526) |
Triglycerides | −0.078 (0.158) | −0.181 (<0.001) |
HDL cholesterol | 0.191 (0.001) | 0.079 (0.076) |
LDL cholesterol | 0.068 (0.222) | 0.068 (0.124) |
Antidyslipidemic medication (No = 0, Yes = 1) | −0.024 (0.669) | 0.036 (0.413) |
Fasting plasma glucose | 0.085 (0.128) | −0.037 (0.400) |
Antidiabetic medication (No = 0, Yes = 1) | 0.027 (0.626) | −0.010 (0.814) |
eGFR | 0.107 (0.053) | 0.035 (0.427) |
Serum uric acid | −0.078 (0.162) | −0.030 (0.500) |
Alanine aminotransferase | −0.001 (0.986) | 0.012 (0.789) |
Gamma-glutamyltransferase | 0.045 (0.421) | 0.067 (0.130) |
Cardiovascular disease | −0.070 (0.209) | −0.030 (0.493) |
r, Pearson's correlation coefficient. Data for triglycerides, fasting plasma glucose, alanine aminotransferase, gamma-glutamyltransferase, and serum bilirubin were skewed and log-transformed for analysis.