Table 3 SFT and VAT values determined via BIA, US, MRI and regression analysis.

From: A new approach to quantify visceral fat via bioelectrical impedance analysis and ultrasound compared to MRI

Variable [kg]

Mean ± SD

p-value

r

R2 (Radj2)

ICC

Total sample [n = 49]

 BFBIA

20.98 ± 8.36

0.798

0.948

0.899

0.948

 BFcalc (SFTtotal +VATMRI)

21.08 ± 8.81

 SFTtotal

17.67 ± 7.50

    

 VATMRI

3.41 ± 2.50

    

Male [n = 24]

 BFBIA

18.09 ± 7.02

0.257

0.900

0.812

0.899

 BFcalc (SFTtotal +VATMRI)

17.35 ± 6.93

 SFTtotal

13.50 ± 4.62

0.995

0.977

0.955 (0.945)

0.978

 SFTEq_male

13.50 ± 4.51

 VATEq_male

3.87 ± 2.72

0.925

0.954

0.899 (0.871)

0.955

 VATMRI

3.85 ± 2.85

Female [n = 25]

 BFBIA

23.75 ± 8.90

0.056

0.939

0.881

0.965

 BFcalc (SFTtotal +VATMRI)

24.66 ± 9.22

 SFTtotal

21.68 ± 7.75

>0.999

0.975

0.951 (0.944)

0.976

 SFTEq_female

21.68 ± 7.56

 VATEq_female

3.06 ± 2.03

0.815

0.951

0.904 (0.878)

0.952

 VATMRI

2.98 ± 2.15

  1. ICC Intraclass coefficient, SD standard deviation, BFcalc the sum of total subcutaneous fat tissue plus visceral adipose tissue obtained via MRI, VATMRI visceral adipose tissue measured by MRI, BFBIA total body fat determined via bioelectrical impedance analysis, VAT visceral adipose tissue, MRI magnetic resonance imaging, SD standard deviation, VATEq_female/male visceral adipose tissue calculated via visceral adipose tissue Eqs. (3) and (4) for men or women, SFTtotal total subcutaneous fat measured by ultrasound, SFTEq_female/male subcutaneous fat determined via Eqs. (1) and (2) for men or women, Radj2 adjusted R-squared of linear model, R2 R-squared.