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

From: Erratum to: Physiological models of body composition and human obesity

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
  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.