Table 2. Hierarchical Regression Analysis between Apolipoprotein B and Clinical Variables.
Variable | Model 1 (R2 =0.270) | Model 2 (R2 =0.273) | Model 3 (R2 =0.287) | |||
---|---|---|---|---|---|---|
βa | P value | βa | P value | βa | P value | |
Age | -0.019 | 0.510 | -0.021 | 0.468 | -0.013 | 0.678 |
Male | 0.070 | 0.017 | 0.072 | 0.014 | 0.055 | 0.071 |
LDL-C | 0.490 | <0.001 | 0.506 | <0.001 | 0.494 | <0.001 |
No. of MetS components | 0.120 | <0.001 | 0.110 | <0.001 | 0.036 | 0.401 |
Use of antilipidemic agents | - | - | 0.064 | 0.031 | 0.055 | 0.064 |
Waist circumference | - | - | - | - | -0.006 | 0.863 |
Systolic blood pressure | - | - | - | - | 0.099 | 0.018 |
Diastolic blood pressure | - | - | - | - | -0.040 | 0.314 |
Triglyceride | - | - | - | - | 0.116 | <0.001 |
HDL-C | - | - | - | - | -0.014 | 0.660 |
Apolipoprotein B level was the dependent variable.
R2, adjusted R-squared; LDL-C, low density lipoprotein cholesterol; MetS, metabolic syndrome; HDL-C, high density lipoprotein cholesterol.
aPartial regression coefficient.