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