Jalilpiran Yahya, Azizi Neda, Alipoor Kimia, Mehranfar Sanaz, Ebaditabar Mojdeh, Shab-Bidar Sakineh, Ostadrahimi Alireza, Djafarian Kurosh
Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Health Promot Perspect. 2024 Jul 29;14(2):185-192. doi: 10.34172/hpp.42570. eCollection 2024.
Predictive equations have been considered as a practical approach for estimating resting energy expenditure (REE) across multiple populations, but their accuracy for each community remains to be determined. Thus, the purposes of this study were to determine the validity of REE predictive equations and to develop a new REE predictive equation in adults living in Tehran.
The study included 284 subjects (158 females) aged 18-60 years old from two cross-sectional studies conducted in Tehrani populations. Anthropometric measurements were assessed using standard protocols. REE was measured using indirect calorimetry (IC) and was estimated using preexisting equations. A new equation was also developed based on the REE from IC and variables such as age, sex, height, and weight. Measured REE was compared to new equation and preexisting predictive equations via correlation, linear regression, and Bland-Altman tests.
The new equation and the equations by Mifflin-St. Jeor, Livingston, Frankenfield, Nichols, Müller, and Ganpule demonstrated the best predictive value at a group level (mean percentage error=-2.2 to 2.4 %). At an individual level, the new equation and the equations by Mara, Frankenfield, Roza, Nikooyeh, and Harris & Benedict showed the greatest accuracies compared to measured REE (accuracy prediction=50-53%).
This study highlights the importance of considering race when predicting REE. It also demonstrates that the newly developed equation is more appropriate in a clinical setting at group but not individual level. Thus, further research is needed to examine the new equation in an independent sample.
预测方程被认为是估计多人群静息能量消耗（REE）的一种实用方法，但其在每个群体中的准确性仍有待确定。因此，本研究的目的是确定REE预测方程的有效性，并在德黑兰的成年人中开发一个新的REE预测方程。
该研究纳入了来自在德黑兰人群中进行的两项横断面研究的284名18至60岁的受试者（158名女性）。使用标准方案评估人体测量学指标。通过间接测热法（IC）测量REE，并使用现有的方程进行估计。还基于IC测得的REE以及年龄、性别、身高和体重等变量开发了一个新方程。通过相关性、线性回归和布兰德-奥特曼检验，将测得的REE与新方程和现有的预测方程进行比较。
新方程以及米夫林-圣乔尔、利文斯顿、弗兰肯菲尔德、尼科尔斯、米勒和甘普勒的方程在群体水平上显示出最佳预测价值（平均百分比误差=-2.2%至2.4%）。在个体水平上，与测得的REE相比，新方程以及马拉、弗兰肯菲尔德、罗扎、尼库耶、哈里斯和本尼迪克特的方程显示出最高的准确性（预测准确性=50%-53%）。
本研究强调了在预测REE时考虑种族的重要性。它还表明，新开发的方程在群体而非个体水平的临床环境中更适用。因此，需要进一步研究在独立样本中检验新方程。
