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. Author manuscript; available in PMC: 2010 Jun 10.
Published in final edited form as: Am J Clin Nutr. 2007 Feb;85(2):362–368. doi: 10.1093/ajcn/85.2.362

TABLE 3.

Regression equations to predict total visceral adipose tissue (VAT) volume from VAT area imaged at L4-L5 and at 6 cm above L4-L5 (L4-L5 + 6)1

Variables in model R2 RMSE CV AIC
L
L4-L52 0.8269 0.754 31.9 13185
L4-L52 + sex2 + race2 0.8678 0.660 28.0 12948
L4-L52 + sex2 + race2 + age group3 0.8674 0.661 28.0 12938
L4-L52 + sex2 + race2 + BMI2 0.8777 0.635 26.9 12876
L4-L52 + sex2 + race2 + waist2 0.8843 0.609 26.0 12732
L4-L52 + sex3 + race3 + age group2 + BMI3 + waist2 + (race × L4-L5)2 + (sex × L4-L5)2 0.8983 0.573 24.4 12610
L4-L5 + 62 0.9737 0.294 12.4 11644
L4-L5 + 62 + sex2 + race2 0.9741 0.292 12.4 11616
L4-L5 + 62 + sex2 + race2 + age group2 0.9745 0.290 12.3 11595
L4-L5 + 62 + sex2 + race2 + age group2 + BMI2 0.9750 0.287 12.3 11600
L4-L5 + 6 + sex2 + race2 + age group2 + BMI2 + waist2 0.9756 0.280 12.1 11493
L4-L5 + 6 + sex3 + race3 + age group2 + BMI3 + waist2 + (race × 6 cm)2 + (sex × 6 cm)2 0.9766 0.275 11.7 11426
1

R2, percentage of variance explained by the regression variables; RMSE, root mean squared error; AIC, Akaike information criterion.

2

Term is significant in the model.

3

Term is not significant in the model.