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Table 2 Relationships between a single anthropometric measurement and biological variables

From: Adding anthropometric measures of regional adiposity to BMI improves prediction of cardiometabolic, inflammatory and adipokines profiles in youths: a cross-sectional study

Variable BMI Z score Waist C Z score WHtR WHR Z score
Pearson’s R
 Fasting glucose 0.235* 0.176* 0.193* 0.057
 Fasting insulina 0.490** 0.483** 0.463** 0.295**
 HOMA IRa 0.493** 0.480** 0.463** 0.290**
 QUICKI −0.475** −0.463** −0.444** −0.283**
 Triglyceridesa 0.205* 0.270** 0.250** 0.249**
 HDL cholesterola −0.205* −0.293** −0.252** −0.273**
 LDL cholesterol −0.047 −0.013 0.003 0.018
 SBP Z score 0.385** 0.389** 0.433** 0.198*
 DBP Z score 0.392** 0.353** 0.418** 0.186*
 CRPa 0.374** 0.388** 0.472** 0.261**
 Fibrinogena 0.341** 0.316** 0.375** 0.193*
 Adiponectina −0.187* −0.277** −0.201* −0.279**
 Leptina 0.551** 0.498** 0.546** 0.119
 Resistina 0.229* 0.181* 0.191* 0.064
  1. Data are Pearson’s R (univariate linear analysis) for single biological variables
  2. *P-value < 0.05; **P-value < 0.001
  3. aLog-transformed variables