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. 2014 Dec 5;9(12):e114281. doi: 10.1371/journal.pone.0114281

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.