Table 2—

Univariate regression analysis to explore the contribution of total fat mass or central fat on measures of insulin

ModelDependent variableModel R2β ± SEEP
Total fat mass*
 Model 1Log fasting insulin0.460.04 ± 0.01<0.001
 Model 2Si0.50−0.07 ± 0.01<0.001
 Model 3Log AIR0.440.03 ± 0.01<0.05
Subcutaneous abdominal fat*
 Model 1Log fasting insulin0.460.003 ± 0.001<0.001
 Model 2Si0.49−0.001 ± 0.001<0.001
 Model 3Log AIR0.220.002 ± 0.001<0.01
Visceral fat*
 Model 1Log fasting insulin0.440.02 ± 0.004<0.001
 Model 2Si0.61−0.03 ± 0.01<0.001
 Model 3Log AIR0.540.02 ± 0.004<0.001
  • *

    * Total fat mass, subcutaneous abdominal fat, and visceral fat were entered separately into each regression model (13) as the independent variable. β, parameter estimate; SEE, standard error of the estimate.