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Table 2 Exploratory analyses performed on satiety, outcome and dietary variables

From: Subjective satiety and other experiences of a Paleolithic diet compared to a diabetes diet in patients with type 2 diabetes

  Bivariate correlation P* Pearson correlation r Linear regression P§ Adjusted R2
∆SQ for energy per meal versus outcome variables
   ∆ TG (mmol/l) 0.03 0.60 0.03 0.30
∆SQ for energy per meal versus dietary variables
   ∆Vitamin B6 (mg) 0.02 0.64 0.02 0.35
   ∆Potassium (mg) 0.03 0.60 NS  
   ∆Total energy (MJ) 0.049 0.55 NS  
∆SQ for energy density per meal versus outcome variables
   No correlations
∆SQ for energy density per meal versus dietary variables
   ∆Water from food (g) 0.01 0.71 0.01 0.45
   ∆Phosphorus (mg) 0.01 0.67 NS  
   ∆Potassium (mg) 0.01 0.66 NS  
   ∆Vitamin B6 (mg) 0.02 0.64 NS  
   ∆Calcium (mg) 0.03 0.59 NS  
   ∆Fiber (g) 0.04 0.58 NS  
   ∆Total energy (MJ) 0.046 0.56 NS  
   ∆Carbohydrate (g) 0.047 0.56 NS  
∆SQ for glycemic load per meal versus outcome variables
   ∆BMI (kg/m2) 0.0003 −0.84 0.0003 0.69
   ∆Weight (kg) 0.03 −0.59 NE  
   ∆Waist (cm) 0.02 −0.63 NS  
∆SQ for glycemic load per meal versus dietary variables
   ∆Spirits (g) 0.03 0.59 0.03 0.29
  1. Exploratory analyses performed on satiety, outcome and dietary variables with significant effects from a Paleolithic diet as compared to a diabetes diet plus water from food and energy-containing beverages (spirits, wine, beer, sweet beverages and juice). Analyses consisted of bivariate correlations between within-subject differences (∆, value during Paleolithic diet minus value during diabetes diet) in satiety quotients (SQ) for energy, energy density and glycemic load per meal versus within-subject differences in outcome and dietary variables. Significantly correlating variables were entered into a stepwise forward linear regression analyses. *P for bivariate correlation between variables in a two-sided t-test. §Stepwise forward linear regression analyses entering significantly correlated variables. NS Not Significant, NE Weight and BMI not entered in same regression analysis due to calculatory relatedness.