Accuracy of Resting Metabolic Rate Prediction Equations in Athletes
- 1 July 2018
- journal article
- research article
- Published by Ovid Technologies (Wolters Kluwer Health) in Journal of Strength & Conditioning Research
- Vol. 32 (7), 1875-1881
- https://doi.org/10.1519/jsc.0000000000002111
Abstract
Jagim, AR, Camic, CL, Kisiolek, J, Luedke, J, Erickson, J, Jones, MT, and Oliver, JM. Accuracy of resting metabolic rate prediction equations in athletes. J Strength Cond Res 32(7): 1875–1881, 2018—The purpose of this study was to determine the accuracy of 5 different resting metabolic rate (RMR) prediction equations in male and female athletes. Twenty-two female (19.7 ± 1.4 years; 166.2 ± 5.5 cm; 63.5 ± 7.3 kg; 49.2 ± 4.3 kg of fat-free mass (FFM); 23.4 ± 4.4 body fat (BF) percent) and 28 male (20.2 ± 1.6 years; 181.9 ± 6.1 cm; 94.5 ± 16.2 kg; 79.1 ± 7.2 kg of FFM; 15.1 ± 8.5% BF) athletes were recruited to participate in 1 day of metabolic testing. Assessments comprised RMR measurements using indirect calorimetry, and body composition analyses using air displacement plethysmography. One-way repeated-measures analysis of variance with follow-up paired t tests were selected to determine differences between indirect calorimetry and 5 RMR prediction equations. Linear regression analysis was used to assess the accuracy of each RMR prediction method. An alpha level of p ≤ 0.05 was used to determine statistical significance. All the prediction equations significantly underestimated RMR while the Cunningham equation had the smallest mean difference (−165 kcals). In men, the Harris-Benedict equation was found to be the best prediction formula with the lowest root-mean-square prediction error value of 284 kcals. In women, the Cunningham equation was found to be the best prediction equation with the lowest root-mean-squared error value of 110 kcals. Resting metabolic rate prediction equations consistently seem to underestimate RMR in male and female athletes. The Harris-Benedict equation seems to be most accurate for male athletes, whereas the Cunningham equation may be better suited for female athletes.Keywords
This publication has 26 references indexed in Scilit:
- Comparison of Predictive Equations for Resting Energy Expenditure in Overweight and Obese AdultsJournal of Obesity, 2011
- Associations between energy demands, physical activity, and body composition in adult humans between 18 and 96 y of ageThe American Journal of Clinical Nutrition, 2010
- Validation of predictive equations for resting energy expenditure in adult outpatients and inpatientsClinical Nutrition, 2008
- Impact of indexing resting metabolic rate against fat-free mass determined by different body composition modelsEuropean Journal of Clinical Nutrition, 2004
- Energy balance and body composition in sports and exerciseJournal of Sports Sciences, 2004
- Physical activity and resting metabolic rateProceedings of the Nutrition Society, 2003
- Predicted and Measured Resting Metabolic Rate of Male and Female Endurance AthletesJournal of the American Dietetic Association, 1996
- Influence of aerobic capacity, body composition, and thyroid hormones on the age-related decline in resting metabolic rateMetabolism, 1992
- DENSITOMETRIC ANALYSIS OF BODY COMPOSITION: REVISION OF SOME QUANTITATIVE ASSUMPTIONS*Annals of the New York Academy of Sciences, 1963