Al-Domi Hayder, Al-Shorman Alaa
Department of Nutrition and Food Science, School of Agriculture, The University of Jordan, Amman 11942, Jordan.
Clin Nutr ESPEN. 2018 Aug;26:91-96. doi: 10.1016/j.clnesp.2018.04.008. Epub 2018 May 8.
Although validating resting metabolic rate (RMR) prediction equations in different populations is warranted to estimate total energy requirements, there are no data about the accuracy and applicability of RMR predictive equations in young healthy Jordanians. This study aimed to test the validity of predicted RMR using four prediction equations and its agreement with RMR measured using indirect calorimetry in healthy young obese and non-obese Jordanian adults.
Predicted RMR was tested for agreement with indirect calorimetry. Harris-Benedict, Food and Agriculture Organization/World Health Organization/United Nations University, Mifflin and Owen equations were used to predict RMR. A total of 406 (200 females, 206 males) normal bodyweight, overweight, and obese healthy young adults aged 18-25 years were included.
Of all tested equations, Harris-Benedict equation showed no significant differences compared to measured RMR using indirect calorimetry (p > 0.05) in normal bodyweight (1374.1 ± 72.5 vs. 1347.6 ± 333.4), overweight (1513.1 ± 66.8 vs. 1492.9 ± 374.8) and obese (1673.5 ± 178.4 vs. 1736.4 ± 386.9) females. While significant differences (p<0.05) were found in all male participants. The other studied equations showed significant differences (p ≤ 0.05) compared to measured RMR in gender based groups with different bodyweight status.
Only Harris-Benedict equation was the most accurate in predicting RMR among females regardless of bodyweight status. Apart from that, these equations did not perform well at the group level. The tested prediction equations further underestimated RMR. Future studies aiming at validating RMR prediction equations in different populations are warranted in order to understand the factors that could affect the accuracy of RMR prediction.
尽管有必要在不同人群中验证静息代谢率（RMR）预测方程以估算总能量需求，但尚无关于RMR预测方程在年轻健康约旦人中的准确性和适用性的数据。本研究旨在使用四个预测方程测试预测RMR的有效性及其与通过间接量热法测量的健康年轻肥胖和非肥胖约旦成年人的RMR的一致性。
测试预测的RMR与间接量热法的一致性。使用哈里斯-本尼迪克特方程、联合国粮食及农业组织/世界卫生组织/联合国大学方程、米夫林方程和欧文方程来预测RMR。总共纳入了406名（200名女性，206名男性）年龄在18至25岁之间的正常体重、超重和肥胖的健康年轻成年人。
在所有测试方程中，哈里斯-本尼迪克特方程与通过间接量热法测量的RMR相比，在正常体重（1374.1±72.5 vs. 1347.6±333.4）、超重（1513.1±66.8 vs. 1492.9±374.8）和肥胖（1673.5±178.4 vs. 1736.4±386.9）女性中无显著差异（p>0.05）。而在所有男性参与者中发现了显著差异（p<0.05）。与基于性别的不同体重状态组中测量的RMR相比，其他研究的方程显示出显著差异（p≤0.05）。
无论体重状况如何，只有哈里斯-本尼迪克特方程在预测女性RMR方面最准确。除此之外，这些方程在组水平上表现不佳。测试的预测方程进一步低估了RMR。有必要进行未来研究以在不同人群中验证RMR预测方程，以便了解可能影响RMR预测准确性的因素。
