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.