Table 5.
Regression equations giving the best prediction of MRI VFM
| Model | Equation | Adjusted R 2 | SEE | %SEE |
|---|---|---|---|---|
| 1 | MRI VFM L4–L5 = (0.229 * DXA VPFa) + (0.315 * WC) − (0.534 * age) − 6.26 | 0.71 | 3.3 | 22.9 |
| 2 | MRI VFM sumb = (1.410 * DXA VPFa) + (1.372 * WC) − (4.796 * age) − 0.35 | 0.70 | 16.7 | 25.3 |
| 3 | MRI VFM L4–L5 = (0.136 * DXA APFa) + (0.308 * WC) − (0.428 * age) − 10.00 | 0.72 | 3.2 | 22.4 |
| 4 | MRI VFM sumb = (1.206 * DXA APFa) + (1.017 * WC) − (3.139 * age) − 24.62 | 0.74 | 15.6 | 23.6 |
| 5 | MRI VFM L4–L5 = (0.215 * DXA TBPFa) + (0.280 * WC) − (0.485 * age) − 9.33 | 0.72 | 4.0 | 27.8 |
| 6 | MRI VFM sumb = (1.670 * DXA TBPFa) + (0.927 * WC) − (3.990 * age) − 18.60 | 0.74 | 15.6 | 23.6 |
Model numbers are arbitrary.
a
DXA measures of adiposity: DXA APF, dual‐energy X‐ray absorptiometry android per cent fat; DXA TBPF, dual‐energy X‐ray absorptiometry total body per cent fat; DXA VPF, dual‐energy X‐ray absorptiometry visceral per cent fat. DXA android fat variables were measured using automatic ROI for android region.
b
MRI VFM sum = sum of four slices (L1 − L2 + L2 − L3 + L3 − L4 + L4 − L5).
DXA, dual‐energy X‐ray absorptiometry; MRI, magnetic resonance imaging; ROI, region of interest; SEE, standard error of the estimate; VFM, visceral fat mass; WC, waist circumference.