Table 2

Equations to predict cat fat 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 fat mass estimation (kg) Equation number r2 Cp p RMSE (kg)
M (n = 24) 0.7BW + 3.22PC/TC–0.005BW/RTL-4 1 0.94 1.23 =0.04 0.19
F (n = 24) −0.07BL + 0.9BW + 0.008R - 0.60 2 0.93 1.97 =0.01 0.17
0.4BW + 11.50 SFLT-0.69 3 0.94 3.46 =0.01 0.16
M and F (n = 48) 0.4BW + 0.006R + 9.67 SFLT-1.84 4 0.90 1.25 =0.009 0.21
−0.05BL + 0.7BW + 0.007R - 0.60 5 0.88 1.95 =0.009 0.24
0.3BW + 9.97 SFLT-0.57 6 0.88 2.90 =0.009 0.23
T0 (n = 16) 0.5BW + 0.007R - 1.88 7 0.86 6.50 =0.05 0.25
T1 (n = 16) 0.4BW + 0.01R + 16.13 SFLT-2.71 8 0.93 1.20 =0.009 0.17
0.6BW + 0.01R-2.84 9 0.86 1.01 =0.04 0.24
0.3BW + 15.49 SFLT-0.69 10 0.86 0.75 =0.04 0.24
T2 (n = 16) 0.5BW + 3.55PC/TC–0.005BW/RTL + 8.48 SFLT-3.74 11 0.94 5.00 =0.02 0.12
−0.022BL + 0.7BW + 4.24PC/TC–0.006BW/RTL-3.65 12 0.94 4.50 =0.02 0.13

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; R, resistance; SFLT, subcutaneous fat layer thickness.

Borges et al.

Borges et al. BMC Veterinary Research 2012 8:111   doi:10.1186/1746-6148-8-111

Open Data