Table 3 |
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| Equations to predict cat lean mass and stepwise multiple regression (adjusted coefficient of determination (r2), Mallows’Cp statistic (Cp), statistical significance (p) and root mean square error (RMSE)) | ||||||
| Equations for lean mass estimation (kg) | Equation number | r2 | Cp | p | RMSE (kg) | |
| M (n = 24) | 0.3BW + 3.0PC/TC – 0.003BW/RTL + 3.51 | 13 | 0.92 | 2.31 | =0.04 | 0.16 |
| F (n = 24) | −0.003BW/RTL + 0.11BL2/R + 0.40 | 14 | 0.83 | 0.45 | =0.04 | 0.17 |
| M and F (n = 48) | 0.2BW + 0.09BL2/R + 0.25 | 15 | 0.85 | 4.72 | =0.0001 | 0.21 |
| 0.04 BW + 0.07 BL2/R – 3.7SFLT + 0.17 | 16 | 0.87 | 2.65 | =0.05 | 0.20 | |
| T0 (n = 16) | 0.4BW + 0.08BL2/R - 0.05 | 17 | 0.86 | 4.23 | =0.05 | 0.22 |
| T1 (n = 16) | 0.3BW + 0.08BL2/R + 0.20 | 18 | 0.87 | 6.40 | =0.02 | 0.17 |
| T2 (n = 16) | 0.3BW – 2.71PC/TC – 0.004BW/RTL + 0.05BL2/R + 2.73 | 19 | 0.97 | 3.09 | =0.02 | 0.10 |
M, males; F, females; BW, body weight;T0, (time zero – obese animals); T1, (time one – 10% reduction in BW); T2 (time two – 20% reduction in BW); BL, body length; PC, pelvic circumference; TC, thoracic circumference; RTL, right thoracic limb length; BL2/R, impedance index; R, resistance; SFLT, subcutaneous fat layer thickness.
Borges et al. BMC Veterinary Research 2012 8:111 doi:10.1186/1746-6148-8-111