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Background: To study the predictive factors of resting energy expenditure (REE) and evaluate the accuracy of predicted equations with indirect calorimeter (IC) in Chinese school-age children, particularly for the obese population.
Methods: Recruited children were from the department of child healthcare in Nanjing children¡¯s hospital during July 2014¨CSeptember 2015. Anthropometric parameters and body composition were measured by bioelectrical impedance. Measured REE was assessed by IC. Predicted REE was estimated using ten published equations.
Results: 248 children aged 7¨C13 years were recruited, including 148 obese [body mass index standard deviation score (BMISDS) = 2.48 ¡À 0.91] and 100 non-obese (BMISDS = − 0.96 ¡À 1.08). The unit mass of REE (REE/kg) in obese group (29.06 ¡À 5.74) was lower than that in non-obese group (37.51 ¡À 6.56). The stepwise regression showed that age, BMISDS and fat-free mass (FFM) had a major impact on REE/kg as the regression equation: Y = 54.41 − 1.36 ¡Á X1 − 2.25 ¡Á X2 − 0.16 ¡Á X3 (Y REE/kg, X1 age, X2 BMISDS, X3 FFM; R = 0.633, R2 = 0.401, P < 0.01). The accuracy of predicted REE in obese subjects was 62.16% by the new predictive equations. Conclusions: The REE/kg in obese children was lower and closely correlated with age, BMISDS and FFM. It is necessary to validate the new predictive equation in a larger sample to estimate energy requirements, particularly for children with obesity.
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