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Accuracy of Resting Metabolic Rate Prediction Equations in Athletes

Accuracy of Resting Metabolic Rate Prediction Equations in Athletes Downloaded from http://journals.lww.com/nsca-jscr by BhDMf5ePHKbH4TTImqenVA5KvPVPZ0P5BEgU+IUTEfzO/GUWifn2IfwcEVVH9SSn on 06/01/2020 ACCURACY OF RESTING METABOLIC RATE PREDICTION EQUATIONS IN ATHLETES 1 2 2 2 3 ANDREW R. JAGIM, CLAYTON L. CAMIC, JACOB KISIOLEK, JOEL LUEDKE, JACOB ERICKSON, 4 5 MARGARET T. JONES, AND JONATHAN M. OLIVER 1 2 Department of Exercise Science, Lindenwood University, St. Charles, Missouri; Exercise & Sport Science Department, University of Wisconsin—La Crosse, La Crosse, Wisconsin; Department of Family Medicine, Mayo Clinic Health Systems, Onalaska, Wisconsin; Division of Health and Human Performance, George Mason University, Fairfax, Virginia; and Kinesiology Department, Texas Christian University, Fort Worth, Texas ABSTRACT KEY WORDS energy expenditure, energy requirements, active Jagim, AR, Camic, CL, Kisiolek, J, Luedke, J, Erickson, J, Jones, individuals MT, and Oliver, JM. Accuracy of resting metabolic rate prediction equations in athletes. J Strength Cond Res 32(7): INTRODUCTION 1875–1881, 2018—The purpose of this study was to deter- t has been shown that athletes who are undergoing mine the accuracy of 5 different resting metabolic rate (RMR) multiple intense training sessions throughout the week prediction equations in male and female athletes. Twenty-two or are larger in stature likely have higher total daily female (19.7 6 1.4 years; 166.2 6 5.5 cm; 63.5 6 7.3 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Strength & Conditioning Research Wolters Kluwer Health

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Publisher
Wolters Kluwer Health
ISSN
1064-8011
eISSN
1533-4287
DOI
10.1519/JSC.0000000000002111
Publisher site
See Article on Publisher Site

Abstract

Downloaded from http://journals.lww.com/nsca-jscr by BhDMf5ePHKbH4TTImqenVA5KvPVPZ0P5BEgU+IUTEfzO/GUWifn2IfwcEVVH9SSn on 06/01/2020 ACCURACY OF RESTING METABOLIC RATE PREDICTION EQUATIONS IN ATHLETES 1 2 2 2 3 ANDREW R. JAGIM, CLAYTON L. CAMIC, JACOB KISIOLEK, JOEL LUEDKE, JACOB ERICKSON, 4 5 MARGARET T. JONES, AND JONATHAN M. OLIVER 1 2 Department of Exercise Science, Lindenwood University, St. Charles, Missouri; Exercise & Sport Science Department, University of Wisconsin—La Crosse, La Crosse, Wisconsin; Department of Family Medicine, Mayo Clinic Health Systems, Onalaska, Wisconsin; Division of Health and Human Performance, George Mason University, Fairfax, Virginia; and Kinesiology Department, Texas Christian University, Fort Worth, Texas ABSTRACT KEY WORDS energy expenditure, energy requirements, active Jagim, AR, Camic, CL, Kisiolek, J, Luedke, J, Erickson, J, Jones, individuals MT, and Oliver, JM. Accuracy of resting metabolic rate prediction equations in athletes. J Strength Cond Res 32(7): INTRODUCTION 1875–1881, 2018—The purpose of this study was to deter- t has been shown that athletes who are undergoing mine the accuracy of 5 different resting metabolic rate (RMR) multiple intense training sessions throughout the week prediction equations in male and female athletes. Twenty-two or are larger in stature likely have higher total daily female (19.7 6 1.4 years; 166.2 6 5.5 cm; 63.5 6 7.3

Journal

Journal of Strength & Conditioning ResearchWolters Kluwer Health

Published: Jul 1, 2018

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