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. 2014 May 20;13:46. doi: 10.1186/1475-2891-13-46

Table 3.

Multiple regression analysis results for waist circumference (WC) measured with anthropometric measures as predictor variable and VFA CT as response variable (Modeling group)

Cumulative dependent variables used in model ( n  = 152)
Waist Age AS 1 BMI WHR BS 1 Intercept SEE (cm 2 ) r 2
2.72 ± 0.21(1.0)**
 -
 -
 -
 -
 -
 -167.84 ± 17.33**
 27.296
 0.528
2.14 ± 0.13(1.1)**
 1.64 ± 0.10(1.1)**
 -
 -
 -
 -
 -165.98 ± 10.36**
 16.322
 0.833
1.84 ± 0.15(1.6)**
 1.35 ± 0.13(1.9)**
 0.52 ± 0.15(2.6)**
 -
 -
 -
 -144.66 ± 11.72**
 15.741
 0.844
1.61 ± 0.27(5.1)**
 1.38 ± 0.13(1.9)**
 0.52 ± 0.15(2.6)**
 0.67 ± 0.67(4.4)
 -
 -
 -142.54 ± 11.91**
 15.741
 0.846
1.12 ± 0.35(8.4)*
 1.33 ± 0.13(2.0)**
 0.47 ± 0.15(2.6)*
 1.10 ± 0.68(4.8)
 88.75 ± 37.89(3.4)*
 -
 -182.27 ± 20.96**
 15.517
 0.852
1.12 ± 0.35(8.4)* 1.33 ± 0.13(2.0)** 0.41 ± 0.23(6.5) 1.08 ± 0.69(4.8) 88.30 ± 38.03(3.4)* 0.08 ± 0.23(5.5) -181.51 ± 21.14** 15.565 0.852

Regression coefficient estimate ± SEE (VIF, variance inflation factor); r2, determination coefficient; *P < 0.05; **P < 0.001; 1 subcutaneous fat thickness; AS: abdominal skinfold, BS: back skinfold.