Table 6. Results of hierarchical multiple regression analysis for variables predicting serum bilirubin levels#.
| Dependent variable – bilirubin | |||
|---|---|---|---|
| Predictor | β | F | ΔR2 |
| Step 1: | 4.40 | 0.13* | |
| Age | -0.243 | ||
| Gender | -0.216 | ||
| Step 2: | 2.82 | 0.04* | |
| Waist to hip ratio | -0.203 | ||
| Body fat mass | -0.436* | ||
| Step 3: | 4.47 | 0.24** | |
| Fasting glucose | -0.123 | ||
| Fasting insulin | -0.415** | ||
| Triacylglycerols | -0.301* | ||
| Total cholesterol | -0.176 | ||
| Step 4: | 4.01 | 0.11** | |
| CRP | -0.284* | ||
| Visfatin | -0.321* | ||
| Resistin | -0.145 | ||
| Adiponectin | 0.189 | ||
| IL-6 | 0.165 | ||
| TNF-α | -0.197 | ||
| Total R2 | 0.52** | ||
| N | 96 | ||
# BMI = body mass index; CRP = C-reactive protein; IL-6 = interleukin 6; TNF-α = tumor necrosis factor alpha; *p<0.05, and **p<0.01.