Table 9

Prediction of fat fraction from body density for Caucasian + Black + Hispanic subjects.

Subjects

a

b

f₀

f₁

d₀

d₁

MSRls

MSRsiri1

MSRsiri2

MSRbro

Male: 18 – 89

4.751

4.345

0.109

0.644

1.0667

0.952

.000528

.00180

.000702

0.00148

Male: 18 – 31

5.046

4.625

0.094

0.65

1.0693

0.9566

.000441

.00166

.000835

0.00161

Male: 32 – 50

4.674

4.274

0.13

0.65

1.061

0.949

.000502

.00192

.000675

.00156

Male: 51 – 89

4.332

3.938

0.132

0.65

1.064

0.944

.000567

.00185

.000572

.00121

Female:18–90

4.796

4.378

0.193

0.736

1.049

0.938

.000703

.00114

.00163

.000926

Female:18–31

4.907

4.482

0.19

0.767

1.050

.935

.000677

.00101

.00132

.000935

Female:32–50

4.913

4.492

0.19

0.73

1.049

.941

.000591

.00104

.00143

.000831

Female:51–90

4.726

4.311

0.22

0.68

1.043

.947

.000793

.00129

.00196

.000999

The parameters a and b are the optimal least square values (fat fraction = a/density – b), and f₀ and f₁ are the fat fractions used for the determination of d₀ and d₁ from the values of a and b. The mean square residual error for the least square fit (MSRls), the Siri Model I (MSRsiri1, eq. (13)) and Model II (MSRsiri2, eq. (14)) and the Brozek model (MSRbro, eq. (10)) are also listed.

Levitt et al. Nutrition & Metabolism 2007 4:19   doi:10.1186/1743-7075-4-19