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. 2012 Feb 29;6(1):51–60. doi: 10.4162/nrp.2012.6.1.51

Table 3.

Evaluation of resting energy expenditure (REE) predictive equations in 76 non-obese children and adolescents based on bias, root mean squared prediction error (RMPSE), and percentage of accurate prediction

graphic file with name nrp-6-51-i003.jpg

1)Mean ± SD

2)Mean (range)

3)*P < 0.05, ***P < 0.001 Significantly different by paired t-test between predicted REE and measured REE

4)[(predicted REE - measured REE) / measured REE] × 100

5)Root Mean Squared Prediction Error = √(Σ(Predicted REE-Measured REE)2 / N)

6)Percentage of subjects predicted by equation within 90% to 110% of measured REE

7)Percentage of subjects predicted by equation < 90% of measured REE

8)Percentage of subjects predicted by equation > 110% of measured REE