Table 1. Regression models used to predict resting energy expenditure (REE).
| Model | Equation for REE (kcal × day−1) | Note |
|---|---|---|
| Chun et al.16 | REE = 244 + 24.5 × FFM | Regressed on 50 adults with motor complete paraplegia or tetraplegia |
| Cunningham17 | REE = 500 + 22 × FFM | Regressed on Harris-Benedict sample |
| Harris-Benedict20 | REE = 66.47 + 13.75 × WT + 5 × HT + 6.67 × Age | Classic prediction formula developed in 1919 on healthy, normal weight males |
| Mifflin et al.21 | REE = 413 + 19.7 × FFM | Default formula in DXA; Regressed on 498 normal weight and obese males and females |
| Nightingale and Gorgey18 | REE = 294.330 + 23.469 × FFM | Regressed on 30 men with motor complete paraplegia or tetraplegia |
| Owen et al.22 | REE = 290 + 22.3 × FFM | Sample comprised healthy and obese males |
Note. FFM, fat free mass; WT, weight; HT, height.