%0 Journal Article
%T Comparison of five equations for estimating resting energy expenditure in Chinese young, normal weight healthy adults
%A Zhi-yong Rao
%A Xiao-ting Wu
%A Bin-miao Liang
%A Mao-yun Wang
%A Wen Hu
%J European Journal of Medical Research
%D 2012
%I BioMed Central
%R 10.1186/2047-783x-17-26
%X Forty-three (21 male, 22 female) healthy college students between the age of 18 and 25£¿years were recruited. REE was measured by the indirect calorimetry (IC) method. Harris-Benedict, World Health Organization (WHO), Owen, Mifflin and Liu¡¯s equations were used to predictREE (REEe). REEe that was within 10% of measured REE (REEm) was defined as accurate. Student¡¯s£¿t test, Wilcoxon Signed Ranks Test, McNemar Test and the Bland-Altman method were used for data analysis.REEm was significantly lower (P£¿<£¿0.05 or P£¿<£¿0.01) than REEe from equations, except for Liu¡¯s, Liu¡¯s-s, Owen, Owen-s and Mifflin in men and Liu¡¯s and Owen in women. REEe calculated by ideal body weight was significantly higher than REEe calculated by current body weight ( P£¿<£¿0.01), the only exception being Harris-Benedict equation in men. Bland-Altman analysis showed that the Owen equation with current body weight generated the least bias. The biases of REEe from Owen with ideal body weight and Mifflin with both current and ideal weights were also lower.Liu¡¯s, Owen, and Mifflin equations are appropriate for the prediction of REE in young Chinese adults. However, the use of ideal body weight did not increase the accuracy of REEe.Resting energy expenditure (REE) is the largest component of total daily energy expenditure, accounting for 60% to 75% of total expenditure [1]. It represents the metabolic status of body cell mass in both the normal and pathological states. Measuring REE accurately is important for dietary therapy and nutrition support therapy. The metabolic cart is the standard procedure to measure REE. However, this procedure is time consuming, expensive, and usually unavailable because of the requirement for measuring respiratory exchange. More than 100 predictive equations have been developed [2-4] in order to circumvent this procedure and reduce the variability between measurements. These equations are based upon regressive analysis of body weight, height, sex, and age, or analysis of some
%K Resting energy expenditure
%K Indirect calorimetry
%K Ideal body weight
%K Predictive equation
%U http://www.eurjmedres.com/content/17/1/26