Resting energy expenditure in elite athletes: development of new predictive equations based on anthropometric variables and bioelectrical impedance analysis derived phase angle

Table 4 Evaluation of new and selected predictive equations in athletes (validation group)

REE predictive equations	Difference PREE-MREE kcal/d Mean (SD)	Bias^§, %	RMSE kcal/d
Equations for normal-weight subjects
HB	− 82 (146)*	− 3.9	107
Schofield	− 93 (142)*	− 4.4	108
FAO/WHO/UNU	− 92 (140)*	− 4.4	107
Mifflin	− 141 (156)*	− 7.0	164
Owen	− 222 (140)*	− 11.3	225
Equations for athletes
De Lorenzo	21 (173)	2	94
Wong	− 41 (153)*	−1.4	104
Ten Haaf	60 (152)*	4	98
Equation A	− 17 (134)	− 0.3	88
Equation B	− 20 (124)	− 0.6	76

Average REE measured with indirect calorimetry = 1826 ± 234 kcal/d
REE resting energy expenditure, MREE measured resting energy expenditure, PREE predicted resting energy expenditure, RMSE root mean square error, HB Harris and Benedict, FAO Food and Agriculture Organization
^§ Mean percentage error between predicted and measured REE; * p < 0.05

ISSN: 1550-2783