Table 4 Evaluation of new and selected predictive equations.

From: Multiple factor assessment for determining resting metabolic rate in young adults

Equations

pRMR, kcal/day

Bias, %

ICC

RMSE, kcal/day

Model 1

1484.4 ± 260.7

1.0

0.871

141.63

Model 2

1485.5 ± 259.4

1.0

0.867

143.96

Mifflin

1430.6 ± 220.1

 − 2.4

0.815

160.52

HB

1505.3 ± 222.9

2.9

0.827

154.41

Owen

1311.7 ± 208.6

 − 10.5

0.655

235.96

Müller_W

1438.0 ± 222.7

 − 1.8

0.817

159.74

Müller_BC

1419.3 ± 218.0

 − 3.1

0.803

166.10

Liu

1377.3 ± 233.0

 − 6.2

0.771

187.85

Yang

1381.6 ± 308.8

 − 6.6

0.791

201.24

Singapore

1278.7 ± 222.0

 − 13.0

0.630

257.83

Xue_W

1647.4 ± 255.9

12.4

0.729

220.83

Xue_BC

1694.6 ± 262.3

15.7

0.671

257.20

Wang

1324.6 ± 230.2

 − 9.8

0.698

224.31

  1. Average RMR measured with indirect calorimetry = 1484.4 ± 296.8 kcal/day.
  2. pRMR predicted resting metabolic rate, ICC intraclass correlation coefficient, RMSE root mean square error.
  3. *P < 0.05, pRMR versus mRMR.