DXA, bioelectrical impedance, ultrasonography and biometry for the estimation of fat and lean mass in cats during weight loss

Table 3 Equations to predict cat lean mass and stepwise multiple regression (adjusted coefficient of determination ( r ² ), Mallows’Cp statistic (Cp), statistical significance (p) and root mean square error (RMSE))

	Equations for lean mass estimation (kg)	Equation number	r ²	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.

ISSN: 1746-6148