Research Article

Association of the Apolipoprotein B/Apolipoprotein A-I Ratio, Metabolic Syndrome Components, Total Cholesterol, and Low-Density Lipoprotein Cholesterol with Insulin Resistance in the Population of Georgia

Table 6

Multiple regression models predicting insulin resistance.

Predictors Unstandardized coefficientsStandardized coefficients 2 changeSignificance
B Standard errorBeta

ApoB/ApoA-I ratio1.448.099.30514.701.421<.0001
FG.496.031.30015.846.133<.0001
DP.019.002.2259.321.039<.0001
Gender−.460.045−.176−10.287.026<.0001
LDL-C.250.045.1285.519.014<.0001
Age.005.001.0623.929.004<.0001
TG.199.067.0672.954.002.003

change is calculated by comparing values obtained from each model.
Coefficients, , and values are shown for final model.
Model 1: predictors—ApoB/ApoA-I ratio.
Model 2: predictors—ApoB/ApoA-I ratio and fasting glucose (FG).
Model 3: predictors—ApoB/ApoA-I ratio, FG, and diastolic pressure (DP).
Model 4: predictors—ApoB/ApoA-I ratio, FG, DP, and gender.
Model 5: predictors—ApoB/ApoA-I ratio, FG, DP, gender, and low-density lipoprotein cholesterol (LDL-C).
Model 6: predictors—ApoB/ApoA-I ratio, FG, DP, gender, LDL-C, and age.
Model 7: predictors—ApoB/ApoA-I ratio, FG, DP, gender, LDL-C, age, and triglycerides (TG).