International Journal of Endocrinology / 2019 / Article / Tab 9

Research Article

New Predictive Equations for Resting Energy Expenditure in Normal to Overweight and Obese Population

Table 9

Accuracy of the new equations vs resting metabolic rate measured by indirect calorimetry and that calculated by some predictive equations in population used for external validation (n = 48; men: 50%).

ToolsRMR (kcal/day)Bias (kcal)Percent of bias (%)Underestimation (%)Overestimation (%)Accurate estimation (%)r

Measured RMR1737.52 ± 378.49
AA_11770.15 ± 296.8032.63 ± 219.842.00 ± 11.7214.5825.0060.420.815
AA_FFM1770.94 ± 313.2533.41 ± 219.601.90 ± 11.4914.5822.9262.500.815
HB 19191704.65 ± 292.1832.87 ± 227.501.81 ± 12.6216.6722.9260.420.800
Bernstein1362.08 ± 218.08375.44 ± 248.6327.32 ± 17.1287.500.0012.500.781
Owen1537.92 ± 263.66199.60 ± 224.2112.86 ± 13.2958.334.1737.500.814
Mifflin1597.84 ± 256.53139.68 ± 229.478.51 ± 13.3435.424.1760.420.805

AA_1 and AA_FMM are the newly developed equations. Bias = RMR measured by Quark RMR-REE predicted by equations; percent of bias = [(RMR measured by Quark RMR-REE predicted by equations) ∗ 100]/REE predicted by equations; accurate estimation = percentage of all subjects whose REE was within 90% to 110% of measured RMR by Quark RMR; underestimation = percentage of all subjects whose REE was less than 90% of measured RMR by Quark RMR; overestimation = percentage of all subjects whose REE was more than 110% of measured RMR by Quark RMR; r, Pearson’s correlation coefficient between RMR measured by Quark RMR and REE predicted by equations.Significant ().

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