Faculty of Health, Sport and Human Performance, University of Waikato, Hamilton, New Zealand.
Exp Physiol. 2019 Apr;104(4):469-475. doi: 10.1113/EP087512. Epub 2019 Mar 4.
What is the topic of this review? We review the issues with using predicted resting metabolic rate equations in athletic populations. What advances does it highlight? The use of dated predicted resting metabolic rate equations is not appropriate for athletic populations until more studies have been conducted among these unique populations.
Resting metabolic rate (RMR) is the amount of energy the body uses at rest. A suppressed RMR has been correlated with low energy availability and therefore used as an indicator of an individual's energy state. Furthermore, confounding identification of low energy availability within an athletic population are the physiological measures required, which can be time consuming and require professional expertise. To negate the demands of laboratory protocols in measuring RMR, predicted RMR ( RMR) equations were developed. Caution should be exercised when applying the RMR equations for determining low energy availability in athletes owing to the population used to develop the equations and the higher metabolic cost of fat-free mass, thus elevated RMR, associated with athletes. Moreover, a low ratio of measured RMR to RMR is often used as an alternative marker for energy deficiency. Predictive equations should implement fat-free mass within the algorithm when estimating RMR in athletic populations. The purpose of this paper is to describe RMR equation development and the issues associated with use of RMR equations for athletic populations. As professional sport increases, validation of RMR equations in the modern athlete population is needed to monitor energy availability for athletic health and performance.
这篇综述的主题是什么?我们回顾了在运动人群中使用预测静息代谢率方程时存在的问题。它强调了哪些进展?在对这些独特人群进行更多研究之前,使用过时的预测静息代谢率方程不适合运动人群。
静息代谢率(RMR)是身体在休息时消耗的能量。已发现 RMR 降低与能量供应不足有关,因此可作为个体能量状态的指标。此外,在运动人群中确定能量供应不足时,需要进行生理学测量,这既耗时又需要专业知识。为了避免在测量 RMR 时进行实验室方案的要求,开发了预测 RMR(RMR)方程。由于开发方程所使用的人群以及与运动员相关的无脂肪质量的更高代谢成本,因此 RMR 升高,在运动员中应用 RMR 方程确定能量供应不足时应谨慎。此外,通常使用测量的 RMR 与 RMR 的低比值作为能量不足的替代标志物。在估计运动人群的 RMR 时,预测方程应在算法中纳入无脂肪质量。本文的目的是描述 RMR 方程的开发以及在运动人群中使用 RMR 方程时存在的问题。随着职业体育的发展,需要对现代运动员人群中的 RMR 方程进行验证,以监测运动员的能量供应情况,从而保障运动员的健康和表现。