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

4.63

4.208

0.129

0.647

1.0678

0.954

.000481

.000693

.000711

0.000553

Male: 18 – 31

4.912

4.475

0.118

0.706

1.0695

0.948

.000402

.000536

.000597

0.000532

Male: 32 – 50

4.559

4.141

0.153

0.619

1.061

0.958

.000457

.000723

.000614

.000562

Male: 51 – 89

4.231

3.821

0.167

0.661

1.0612

0.944

.000516

.000853

.000957

.000568

Female: 18 – 90

4.673

4.239

0.220

0.745

1.048

0.9376

.000640

.000813

.00202

.000662

Female: 18 – 31

4.779

4.339

0.214

0.774

1.050

.935

.000616

.00066

.00178

.000661

Female: 32 – 50

4.785

4.347

0.208

0.737

1.050

.941

.000538

.000653

.00191

.000576

Female: 51 – 90

4.606

4.175

0.249

0.682

1.041

.948

.000722

.00102

.00223

.000732

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 2009 6:7   doi:10.1186/1743-7075-6-7