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Table 4 Multivariable DXA 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: total fat mass Model 2: total fat mass, trunk/legs fat mass Model 3: total fat mass, trunk fat mass
  R2 model 1 R2 model 2 r2 partial total fat mass r2 partial trunk/legs fat mass R2 model 3 r2 partial total fat mass r2 partial trunk fat mass
Fasting glucose 0.058* 0.058* 0.029* 0.000 0.058* 0.004 0.000
Fasting insulina 0.376** 0.425** 0.249** 0.078** 0.395** 0.000 0.030*
HOMA IRa 0.366** 0.412** 0.242** 0.073** 0.383** 0.000 0.027*
QUICKI 0.349** 0.394** 0.213** 0.069** 0.365** 0.000 0.025*
Triglyceridesa 0.046 0.095* 0.029* 0.052* 0.075* 0.016 0.031*
HDL cholesterola 0.015 0.105** 0.014 0.091** 0.066* 0.037* 0.051*
LDL cholesterol 0.010 0.011 0.005 0.001 0.010 0.001 0.000
SBP Z score 0.201** 0.226** 0.183** 0.032* 0.230** 0.004 0.037*
DBP Z score 0.144** 0.178** 0.127** 0.039* 0.181** 0.010 0.042*
CRPa 0.165** 0.198** 0.164** 0.039* 0.186** 0.001 0.025*
Fibrinogena 0.216** 0.216** 0.158** 0.000 0.217** 0.018 0.000
Adiponectina 0.077* 0.137** 0.005 0.065** 0.112** 0.029* 0.038*
Leptina 0.575** 0.578** 0.506** 0.005 0.582** 0.138** 0.015
Resistina 0.100** 0.120** 0.063** 0.022* 0.120** 0.006 0.023*
  1. All models were age, sex and pubertal status adjusted
  2. *P-value < 0.05; **P-value < 0.001
  3. aLog-transformed variables