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Table 9 Prediction of fat fraction from body density for Caucasian + Black + Hispanic subjects.

From: Physiological models of body composition and human obesity

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

  1. 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.