Literature DB >> 20833995

Published predictive equations overestimate measured resting metabolic rate in young, healthy females.

Amanda C Li1, Carolyn M Tereszkowski, A Michelle Edwards, Janis A Randall Simpson, Andrea C Buchholz.   

Abstract

OBJECTIVE: To compare resting metabolic rate (RMR) measured by indirect calorimetry versus RMR predicted by several published formulas in a sample of healthy young women.
METHODS: RMR was measured using indirect calorimetry and predicted using 6 commonly used equations (Nelson, 1992; Mifflin, 1990; Owen, 1986; Schofield(Weight), 1985; Schofield(Weight and Height), 1985; Harris-Benedict, 1919) in 47 reportedly healthy young females (age = 22.8 ± 2.9 years; body mass index = 21.8 ± 2.1 kg/m(2)). Comparisons between measured versus predicted RMR were conducted using paired t tests, and agreement using Pearson's correlation coefficient, analysis of variance, and the method of Bland-Altman.
RESULTS: All 6 equations overestimated measured RMR by 140-738 kcal/d (all p < 0.001). The proportion of subjects for whom measured versus predicted RMR differed by ±10% ranged from 74% (Nelson) to 100% (Harris-Benedict). The adjusted coefficients of determination (R(2)) between measured and predicted RMR ranged from 0.13 to 0.19 (all p < 0.05). Bland-Altman analysis R(2) values ranged from 0.03 (p = 0.233; Harris-Benedict) to 0.72 (p = 0.000; Owen). Given its continued popularity, we modified the Harris-Benedict equation (RMR(modified Harris-Benedict) (kcal/d) = 738 / (RMR(Harris-Benedict) - 738)). Doing so reduced the mean difference between measured and predicted RMR from +738 kcal/d to -0.53 kcal/d (p = 0.984).
CONCLUSION: No equation performed well, and none should be used interchangeably with measured RMR. We recommend that a new equation be validated for, and prospectively tested in, young women. In the interim, RMR should be measured in this population or predicted using the modified Harris-Benedict equation that we developed.

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Year:  2010        PMID: 20833995     DOI: 10.1080/07315724.2010.10719837

Source DB:  PubMed          Journal:  J Am Coll Nutr        ISSN: 0731-5724            Impact factor:   3.169


  3 in total

1.  Common Prediction Equations Overestimate Measured Resting Metabolic Rate in Young Hispanic Women.

Authors:  Shirley Miller; Brandy-Joe Milliron; Kathleen Woolf
Journal:  Top Clin Nutr       Date:  2013-04       Impact factor: 0.508

2.  Predictive Accuracy of the Nelson Equation via BodPod Compared to Commonly Used Equations to Estimate Resting Metabolic Rate in Adults.

Authors:  Bryndan W Lindsey; Daniel E Shookster; Joel R Martin; Nelson N Cortes
Journal:  Int J Exerc Sci       Date:  2021-10-01

3.  Are Predictive Equations for Estimating Resting Energy Expenditure Accurate in Asian Indian Male Weightlifters?

Authors:  Mini Joseph; Riddhi Das Gupta; L Prema; Mercy Inbakumari; Nihal Thomas
Journal:  Indian J Endocrinol Metab       Date:  2017 Jul-Aug
  3 in total

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