scholarly journals Resting metabolic rate prediction equations and the validity to assess energy deficiency in the athlete population

2019 ◽  
Vol 104 (4) ◽  
pp. 469-475 ◽  
Author(s):  
K. L. Schofield ◽  
H. Thorpe ◽  
S. T. Sims
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Energy Deficiency ◽  
Rate Prediction

scholarly journals A VALIDATION OF 4 RESTING METABOLIC RATE PREDICTION EQUATIONS WHICH INCORPORATE DIFFERENT DODY SIZE INDICES

1992 ◽  
Vol 24 (Supplement) ◽  
pp. S10
Author(s):  
J. Morrill ◽  
J. Chronchio ◽  
S. Volpe-Snyder ◽  
P. S. Freedson ◽  
A. F. Maliszcwski
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Rate Prediction

scholarly journals Do we need race-specific resting metabolic rate prediction equations?

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
James Reneau ◽  
Brittaney Obi ◽  
Andrea Moosreiner ◽  
Srividya Kidambi
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Rate Prediction

Accuracy of Resting Metabolic Rate Prediction Equations in Athletes

2018 ◽  
Vol 32 (7) ◽  
pp. 1875-1881 ◽  
Author(s):  
Andrew R. Jagim ◽  
Clayton L. Camic ◽  
Jacob Kisiolek ◽  
Joel Luedke ◽  
Jacob Erickson ◽  
...  
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Rate Prediction

Validity of Resting Metabolic Rate Prediction Equations in Normal, Overweight and Obese Adults

2007 ◽  
Vol 39 (Supplement) ◽  
pp. S385
Author(s):  
Bryce L. Jones ◽  
Cheryl A. Howe ◽  
Jeannie M. Haller ◽  
Rebecca E. Hasson ◽  
Patty S. Freedson
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Obese Adults ◽  
Rate Prediction

scholarly journals Cross‐Validation of Recent and Longstanding Resting Metabolic Rate Prediction Equations

2016 ◽  
Vol 30 (S1) ◽  
Author(s):  
Kyle D Flack ◽  
William A Siders ◽  
LuAnn Johnson ◽  
James N Roemmich
Keyword(s):  
Metabolic Rate ◽  
Cross Validation ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Rate Prediction

scholarly journals Accuracy and Applicability of Resting Metabolic Rate Prediction Equations Differ for Women Across the Lifespan

2015 ◽  
Vol 4 (2) ◽  
pp. 50-63
Author(s):  
Kathleen Woolf ◽  
◽  
Shirley Miller ◽  
Christine Christ ◽  
Leah Beaird ◽  
...  
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Rate Prediction

scholarly journals Cross-Validation of Resting Metabolic Rate Prediction Equations

2016 ◽  
Vol 116 (9) ◽  
pp. 1413-1422 ◽  
Author(s):  
Kyle D. Flack ◽  
William A. Siders ◽  
LuAnn Johnson ◽  
James N. Roemmich
Keyword(s):  
Metabolic Rate ◽  
Cross Validation ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Rate Prediction

Energy Expenditure of Level Overground Walking in Young Adults: Comparison With Prediction Equations

2021 ◽  
pp. 1-8
Author(s):  
Jingjing Xue ◽  
Shuo Li ◽  
Rou Wen ◽  
Ping Hong
Keyword(s):  
Young Adults ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Energy Cost ◽  
Sports Medicine ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Overground Walking ◽  
All Speeds ◽  
Walking Energy Cost

Background: The purpose of this study was to investigate the accuracy of the published prediction equations for determining level overground walking energy cost in young adults. Methods: In total, 148 healthy young adults volunteered to participate in this study. Resting metabolic rate and energy expenditure variables at speeds of 4, 5, and 6 km/h were measured by indirect calorimetry, walking energy expenditure was estimated by 3 published equations. Results: The gross and net metabolic rate per mile of level overground walking increased with increased speed (all P < .01). Females were less economical than males. The present findings revealed that the American College of Sports Medicine and Pandolf et al equations significantly underestimated the energy cost of overground walking at all speeds (all P < .01) in young adults. The percentage mean bias for American College of Sports Medicine, Pandolf et al, and Weyand et al was 12.4%, 16.8%, 1.4% (4 km/h); 21.6%, 15.8%, 7.1% (5 km/h); and 27.6%, 12%, 6.6% (6 km/h). Bland–Altman plots and prediction error analysis showed that the Weyand et al was the most accurate in 3 existing equations. Conclusions: The Weyand et al equation appears to be the most suitable for the prediction of overground walking energy expenditure in young adults.

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