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Table 3 Multivariable anthropometric prediction of cardiovascular risk factors in youths

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

Dependent variable Model 1: BMI Z Score Model 2: BMI Z Score, WHR Z Score Model 3: BMI Z Score, Waist C Z Score Model 4: BMI Z Score, WHtR
  R2 model 1 R2 model 2 r2 partial BMI Z Score r2 partial WHR Z Score R2 model 3 r2 partial BMI Z Score r2 partial waist C Z Score R2 model 4 r2 partial BMI Z Score r2 partial WHtR
Fasting glucose 0.074* 0.074* 0.042* 0.000 0.080* 0.027* 0.007 0.074* 0.014 0.000
Fasting insulina 0.437** 0.459** 0.266** 0.039* 0.455** 0.016 0.032* 0.440** 0.071** 0.005
HOMA IRa 0.427** 0.447** 0.262** 0.036* 0.442** 0.019 0.026* 0.430** 0.070** 0.005
QUICKI 0.414** 0.433** 0.242** 0.033* 0.429** 0.016 0.025* 0.416** 0.066** 0.004
Triglyceridesa 0.079* 0.117** 0.033* 0.042* 0.122** 0.009 0.047* 0.095* 0.000 0.017
HDL cholesterola 0.043* 0.096* 0.022* 0.056** 0.108** 0.023* 0.068** 0.065* 0.001 0.024*
LDL cholesterol 0.011 0.013 0.002 0.002 0.015 0.005 0.004 0.018 0.009 0.007
SBP Z score 0.188** 0.200** 0.140** 0.014 0.201** 0.007 0.016 0.224** 0.003 0.044*
DBP Z score 0.175** 0.184** 0.130** 0.010 0.176** 0.028* 0.000 0.200** 0.006 0.030*
CRPa 0.146** 0.182** 0.113** 0.043* 0.158** 0.005 0.014 0.233** 0.004 0.102**
Fibrinogena 0.199** 0.208** 0.116** 0.012 0.199** 0.021* 0.001 0.218** 0.006 0.024*
Adiponectina 0.100** 0.143** 0.011 0.047* 0.177** 0.040* 0.085** 0.107** 0.000 0.007
Leptina 0.502** 0.502** 0.412** 0.001 0.502** 0.111** 0.001 0.511** 0.101** 0.019
Resistina 0.095** 0.095* 0.044* 0.000 0.097* 0.017 0.002 0.095* 0.016 0.000
  1. All models were age, sex and pubertal status adjusted
  2. *P-value < 0.05; **P-value < 0.001
  3. aLog-transformed variables