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dc.contributor.authorSchofield, K.L.en_NZ
dc.contributor.authorThorpe, Holly Ayshaen_NZ
dc.contributor.authorSims, Stacyen_NZ
dc.date.accessioned2019-08-06T23:13:32Z
dc.date.available2019-04-01en_NZ
dc.date.available2019-08-06T23:13:32Z
dc.date.issued2019en_NZ
dc.identifier.citationSchofield, 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/EP087512en
dc.identifier.issn0958-0670en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/12754
dc.description.abstractResting 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.
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherWILEYen_NZ
dc.rights© 2019 The Authors.
dc.subjectScience & Technologyen_NZ
dc.subjectLife Sciences & Biomedicineen_NZ
dc.subjectPhysiologyen_NZ
dc.subjectathleteen_NZ
dc.subjectenergy availabilityen_NZ
dc.subjectmethodologyen_NZ
dc.subjectpredictive resting metabolic rateen_NZ
dc.subjectresting metabolic rateen_NZ
dc.subjectvalidityen_NZ
dc.subjectIOC CONSENSUS STATEMENTen_NZ
dc.subjectFAT-FREE MASSen_NZ
dc.subjectCALORIC REQUIREMENTSen_NZ
dc.subjectAVAILABILITYen_NZ
dc.subjectDISTURBANCESen_NZ
dc.subjectEXPENDITUREen_NZ
dc.subjectHEALTHYen_NZ
dc.subjectDRIVEen_NZ
dc.subjectREAPPRAISALen_NZ
dc.subjectTHINNESSen_NZ
dc.titleResting metabolic rate prediction equations and the validity to assess energy deficiency in the athlete populationen_NZ
dc.typeJournal Article
dc.identifier.doi10.1113/EP087512en_NZ
dc.relation.isPartOfExperimental Physiologyen_NZ
pubs.begin-page469
pubs.elements-id235436
pubs.end-page475
pubs.issue4en_NZ
pubs.publication-statusPublisheden_NZ
pubs.volume104en_NZ
dc.identifier.eissn1469-445Xen_NZ


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