Nutr Res Pract.  2012 Feb;6(1):51-60.

Accuracy of predictive equations for resting energy expenditure (REE) in non-obese and obese Korean children and adolescents

• Kim MH
• Kim JH
• Kim EK

Abstract

Weight-controlling can be supported by a proper prescription of energy intake. The individual energy requirement is usually determined through resting energy expenditure (REE) and physical activity. Because REE contributes to 60-70% of daily energy expenditure, the assessment of REE is very important. REE is often predicted using various equations, which are usually based on the body weight, height, age, gender, and so on. The aim of this study is to validate the published predictive equations for resting energy expenditure in 76 normal weight and 52 obese Korean children and adolescents in the 7-18 years old age group. The open-circuit indirect calorimetry using a ventilated hood system was used to measure REE. Sixteen REE predictive equations were included, which were based on weight and/or height of children and adolescents, or which were commonly used in clinical settings despite its use based on adults. The accuracy of the equations was evaluated on bias, RMSPE, and percentage of accurate prediction. The means of age and height were not significantly different among the groups. Weight and BMI were significantly higher in obese group (64.0 kg, 25.9 kg/m2) than in the non-obese group (44.8 kg, 19.0 kg/m2). For the obese group, the Molnar, Mifflin, Liu, and Harris-Benedict equations provided the accurate predictions of > 70% (87%, 79% 77%, and 73%, respectively). On the other hand, for non-obese group, only the Molnar equation had a high level of accuracy (bias of 0.6%, RMSPE of 90.4 kcal/d, and accurate prediction of 72%). The accurate prediction of the Schofield (W/WH), WHO (W/WH), and Henry (W/WH) equations was less than 60% for all groups. Our results showed that the Molnar equation appears to be the most accurate and precise for both the non-obese and the obese groups. This equation might be useful for clinical professionals when calculating energy needs in Korean children and adolescents.

Keyword

Resting energy expenditure; predictive equation; indirect calorimetry; children; adolescents

MeSH Terms

Adolescent
Adult
Bias (Epidemiology)
Body Weight
Calorimetry, Indirect
Child
Energy Intake
Energy Metabolism
Hand
Humans
Motor Activity
Prescriptions

Figure

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  Fig. 1 Percentage of bias, root mean squared prediction error (RMSPE), and percentage of subjects with accurate predictions by 16 resting energy expenditure predictive equations for non-obese boys (◯, n = 27), non-obese girls (△, n = 49), obese boys (●, n = 32), obese girls (▲, n = 20), and total (line, n = 128) of the subjects

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  Fig. 2 Bland-Altman plots for measured REE (MREE) and predicted REE (PREE) by 3 best-performing REE predictive equations (Molnar, Mifflin, and Harris-Benedict) for non-obese (◯, left panels) and obese (●, right panels) children and adolescents

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