Predicted relationships from stepwise linear regression analyses; on the x-axis you can find the values predicted by the models by the different parameters in the model, on the y-axis you can find the actual value as measured in the study.

<p>The results were plotted for the following models: (<b>A</b>) Model 1, relationship between actual metabolic flexibility (ΔRER) and the metabolic flexibility predicted by Model 1 (by plasma NEFA and WGD during insulin stimulation), (<b>B</b>) Model 2; relationship between actual basal respiratory exchange ratio (basal RER) and the basal RER predicted by Model 2 (by plasma PCr-recovery half-time, BMI and age), (<b>C</b>) Model 3; relationship between insulin-stimulated respiratory exchange ratio (ins. stim. RER) and the insulin-stimulated RER predicted by Model 3 (by WGD during insulin stimulation), (<b>D</b>) Model 4; relationship between actual PCr-recovery half-time and PCr-recovery half-time predicted by Model 4 (by basal RER and VO2max).</p

Hyperinsulinemic-euglycemic clamp and indirect calorimetry.

<p>In the table above the results of the hyperinsulemic-euglycemic clamp and the ventilated hood measurements that were performed at baseline and during insulin stimulation are presented. Results for plasma metabolite levels are shown at baseline (before insulin stimulation) and after 3 hours of insulin infusion (during Ins. Stim.). NEFA, non-esterified free fatty acids; EE, energy expenditure; RER, respiratory exchange ratio; EGP, endogenous glucose production; WGD, whole-body glucose disposal; NOGD, non-oxidative glucose disposal.</p

Stepwise Linear regression analyses.

<p>In the above table the results of the stepwise regression analyses are presented. Indicated in the “Parameters” column are all variables included in the model, and in the “Significant Predictors” column are all variables that were significant after stepwise regression. In the Beta column, the beta value for each (significant) predictor in the model is given and in “R²” column are the R² values for the entire model. P<0.05 was considered statistically significant.</p