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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