Acar-Tek Nilüfer, Ağagündüz Duygu, Çelik Bülent, Bozbulut Rukiye
a Gazi University , Faculty of Health Sciences, Department of Nutrition and Dietetics , Besevler, Ankara , Turkey.
b Gazi University , Faculty of Sciences, Department of Statistics , Besevler, Ankara , Turkey.
J Am Coll Nutr. 2017 Aug;36(6):470-480. doi: 10.1080/07315724.2017.1320952. Epub 2017 Jul 27.
Accurate estimation of resting energy expenditure (REE) in childrenand adolescents is important to establish estimated energy requirements. The aim of the present study was to measure REE in obese children and adolescents by indirect calorimetry method, compare these values with REE values estimated by equations, and develop the most appropriate equation for this group.
One hundred and three obese children and adolescents (57 males, 46 females) between 7 and 17 years (10.6 ± 2.19 years) were recruited for the study. REE measurements of subjects were made with indirect calorimetry (COSMED, FitMatePro, Rome, Italy) and body compositions were analyzed.
In females, the percentage of accurate prediction varied from 32.6 (World Health Organization [WHO]) to 43.5 (Molnar and Lazzer). The bias for equations was -0.2% (Kim), 3.7% (Molnar), and 22.6% (Derumeaux-Burel). Kim's (266 kcal/d), Schmelzle's (267 kcal/d), and Henry's equations (268 kcal/d) had the lowest root mean square error (RMSE; respectively 266, 267, 268 kcal/d). The equation that has the highest RMSE values among female subjects was the Derumeaux-Burel equation (394 kcal/d). In males, when the Institute of Medicine (IOM) had the lowest accurate prediction value (12.3%), the highest values were found using Schmelzle's (42.1%), Henry's (43.9%), and Müller's equations (fat-free mass, FFM; 45.6%). When Kim and Müller had the smallest bias (-0.6%, 9.9%), Schmelzle's equation had the smallest RMSE (331 kcal/d). The new specific equation based on FFM was generated as follows: REE = 451.722 + (23.202 * FFM). According to Bland-Altman plots, it has been found out that the new equations are distributed randomly in both males and females.
Previously developed predictive equations mostly provided unaccurate and biased estimates of REE. However, the new predictive equations allow clinicians to estimate REE in an obese children and adolescents with sufficient and acceptable accuracy.
准确估算儿童和青少年的静息能量消耗(REE)对于确定估计能量需求很重要。本研究的目的是通过间接测热法测量肥胖儿童和青少年的REE,将这些值与通过公式估算的REE值进行比较,并为该群体开发最合适的公式。
招募了103名7至17岁(10.6±2.19岁)的肥胖儿童和青少年(57名男性,46名女性)参与研究。使用间接测热法(COSMED,FitMatePro,意大利罗马)测量受试者的REE,并分析身体成分。
在女性中,准确预测的百分比从32.6%(世界卫生组织[WHO])到43.5%(莫尔纳尔和拉泽尔)不等。各公式的偏差分别为-0.2%(金)、3.7%(莫尔纳尔)和22.6%(德鲁莫-布雷尔)。金氏公式(266千卡/天)、施梅尔策公式(267千卡/天)和亨利公式(268千卡/天)的均方根误差(RMSE)最低(分别为266、267、268千卡/天)。女性受试者中RMSE值最高的公式是德鲁莫-布雷尔公式(394千卡/天)。在男性中,当医学研究所(IOM)的准确预测值最低(12.3%)时,使用施梅尔策公式(42.1%)、亨利公式(43.9%)和米勒公式(去脂体重,FFM;45.6%)时得到的预测值最高。当金氏公式和米勒公式的偏差最小时(-0.6%,9.9%),施梅尔策公式的RMSE最小(331千卡/天)。基于FFM的新特定公式如下:REE = 451.722 +(23.202 * FFM)。根据布兰德-奥特曼图,发现新公式在男性和女性中均随机分布。
先前开发的预测公式大多对REE提供了不准确且有偏差的估计。然而,新的预测公式使临床医生能够以足够且可接受的准确性估算肥胖儿童和青少年的REE。