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. 2018 Sep 13;4(5):437–447. doi: 10.1002/osp4.297

Table 4.

DXA measures of adipositya and anthropometry regressed on MRI VFM variables with and without age in the models (n = 32)

Dependent Age covariate Predictor(s)
DXA VPF + WC DXA APF + WC DXA TBPF + WC DXA VPF + BMI DXA APF + BMI DXA TBPF + BMI
Adjusted R 2 Adjusted R 2 Adjusted R 2 Adjusted R 2 Adjusted R 2 Adjusted R 2
MRI VFM L4–L5 Without 0.71e 0.72d 0.71d 0.71d 0.71d 0.69d
With 0.71e 0.72e 0.72e 0.70d 0.70d 0.69d
MRI VFM sumb Without 0.68c 0.74d 0.72c 0.69c 0.74c 0.72c
With 0.70e 0.74d 0.74c 0.70d 0.74c 0.73c

This table only shows the results of regressions performed with DXA per cent fat variables because they had the highest adjusted R 2 and lowest SEE values when compared with DXA fat mass variables.

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).

c

DXA variable was significant (p ≤ 0.05) in regression model; however, anthropometric variable and/or age was not significant.

d

DXA and anthropometric variables were significant (p ≤ 0.05) in regression model.

e

Anthropometric variable was significant; however, DXA and/or age were not significant.

BMI, body mass index; DXA, dual‐energy X‐ray absorptiometry; MRI, magnetic resonance imaging; ROI, region of interest; VFM, visceral fat mass; WC, waist circumference.