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Table 4 Regression modeling to determine independent anthropometric and DXA predictors of MRI measures of body composition (all subjects; n = 30)

From: Waist to hip ratio and trunk to extremity fat (DXA) are better surrogates for IMCL and for visceral fat respectively than for subcutaneous fat in adolescent girls

Anthropometric Predictors
  Visceral Fat (cm 2 ) Subcutaneous Fat (cm 2 ) Intramyocellular Lipid (AU)
  P r 2 Total r 2 p r 2 Total r 2 p r 2 Total r 2
BMI-SDS 0.002 0.71 0.77 < 0.0001 0.90 0.90 - -  
WHR 0.02 0.06   - -   0.002 0.35 0.35
Bone age - -   0.02 0.02   0.0009 0.44 0.62
BMI-SDS 0.002 0.71 0.77 < 0.0001 0.90 0.93 - -  
WHR 0.02 0.06   0.06 0.01   0.004 0.18  
DXA Predictors
  Visceral Fat (cm 2 ) Subcutaneous Fat (cm 2 ) Intramyocellular Lipid (AU)
  p r 2 Total r 2 p r 2 Total r 2 p r 2 Total r 2
Total fat (kg) 0.003 0.60 0.72 < 0.0001 0.96 0.97 0.06 0.14 0.14
PTF 0.003 0.12   0.04 0.006   - -  
Total fat (kg) 0.0007 0.60 0.73 < 0.0001 0.96 0.97 0.06 0.14 0.14
TEFR 0.003 0.13   0.03 0.007   - -  
Bone age 0.02 0.06 0.78 - -   0.0009 0.29 0.46
Total fat (kg) 0.0006 0.60   < 0.0001 0.96 0.97 0.01 0.17  
PTF 0.002 0.12   0.04 0.006   - -  
Bone age 0.03 0.05   - -   0.0009 0.29 0.46
Total fat (kg) 0.0002 0.60 0.78 < 0.0001 0.96 0.97 0.01 0.17  
TEFR 0.003 0.13   0.03 0.007   - -  
  1. BMI-SDS: body mass index standard deviation scores; WHR: waist-to-hip ratio, PTF: percent trunk fat; TEFR: trunk-to-extremity fat ratio