Schofield, K. L., Thorpe, H. A., & Sims, S. (2019). Resting metabolic rate prediction equations and the validity to assess energy deficiency in the athlete population. Experimental Physiology, 104(4), 469–475. https://doi.org/10.1113/EP087512
Permanent Research Commons link: https://hdl.handle.net/10289/12754
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 (pRMR) equations were developed. Caution should be exercised when applying the pRMR 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 pRMR 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 pRMR equation development and the issues associated with use of pRMR equations for athletic populations. As professional sport increases, validation of pRMR equations in the modern athlete population is needed to monitor energy availability for athletic health and performance.
© 2019 The Authors.