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Table 3 Exploratory analysis

From: Palaeolithic diet decreases fasting plasma leptin concentrations more than a diabetes diet in patients with type 2 diabetes: a randomised cross-over trial

  Pearson’s correlation ra Spearman’s correlation rb Adjusted R2 p c
Leptin (ng/ml) versus
 Fasting insulin (ng/ml)   0.555   0.049
 Fat (g)   −0.665   0.013
 Fat (%)   −0.555   0.049
 SAF (g)   −0.593   0.033
 Fatty acid C16:0 (g)   −0.571   0.041
 Fatty acid C18:0 (g)   −0.555   0.049
Glucagon (pg/ml) versus
 AUC insulin0-120 (nmol/l min) 0.946   0.383 0.015
 Stimulated AUC insulin0-120 (nmol/l min) 0.558   0.249 0.047
 Fasting plasma insulin (pmol/l) 0.637   0.352 0.019
 Satiety quotient for glycaemic index per meal (RS) −0.562   0.254 0.045
 Glycaemic load (g) 0.63   0.342 0.021
 Glycaemic index 0.731   0.491 0.005
 Fatty acid C20:5, n-3, EPA (g)
 0.581   0.277 0.037
 Fatty acid C22:6, n-3, DHA (g) 0.575   0.27 0.04
 Vitamin B-12 (µg) 0.571   0.265 0.041
Adipsin (ng/ml) versus
 Satiety quotient for GL per meal (RS/kg) 0.581   0.277 0.037
GIP (pg/ml) versus
 Fasting plasma insulin (pmol/l)   0.555   0.049
GLP-1 (pg/ml) versus     
 Stimulated AUC insulin (nmol/l min)   0.654   0.015
 AUC insulin (nmol/l min)   0.67   0.012
Resistin (ng/ml) versus
 Fasting plasma insulin (pmol/l) −0.728   0.451 0.041
 Satiety quotient for GL per meal (RS/kg) 0.810   0.598 0.015
Visfatin (ng/ml) versus
 Fasting plasma glucose (mmol/l) −0.557   0.248 0.048
  1. Exploratory analysis was conducted to check for significant correlations between the outcome variables presented in Table 2 and outcome variables related to glucose homeostasis and satiation. Bivariate correlations were also performed between the outcome variables presented in Table 2 and dietary variables. This analysis consisted in bivariate Pearson or Spearman’s (for non normally distributed variables) correlation between within-subject differences in outcome and dietary variables. Normally distributed outcomes that were significant in Pearson’s correlation were entered into simple linear regression
  2. aPearson’s correlation for normally distributed variables
  3. bSpearman’s correlation for non normally distributed variables
  4. c p value for bivariate correlation and simple linear regression