Table 3.

Multiple regression equations used to identify predictors of VAT and SAT volumes

	Equations
VAT volume (cm3) =	23 (age) + 21 (weight) + 32.5 (%FM) − 1930	R2 = 0.63, P = 0.025
	9 (age) − 1.9 (weight) + 37 (%FM) + 6.5 (L3–L4 CSA)* − 648	R2 = 0.81, P = 0.006
SAT volume (cm3) =	25 (weight) + 127 (%FM) − 42 (age) − 1929	R2 = 0.71, P = 0.009
	4 (weight) + 83 (%FM) − 21 (age) − 7 (L3–L5 CSA)** − 1027.	R2 = 0.81, P = 0.005

*It should be noted that that the use of L₃, L₃–L₄, L₄, and L₄–L₅ CSAs is considered a significant predictor for measuring VAT volume.

**The use of a single slice CSA did not improve the prediction of SAT volume compared to the average CSA of the four slices between L₃ and L₅.