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Revised Harris-Benedict Equation: New Human Resting Metabolic Rate Equation

Overview
Journal Metabolites
Publisher MDPI
Date 2023 Feb 25
PMID 36837808
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Abstract

This paper contains a revision of the Harris-Benedict equations through the development and validation of new equations for the estimation of resting metabolic rate (RMR) in normal, overweight, and obese adult subjects, taking into account the same anthropometric parameters. A total of 722 adult Caucasian subjects were enrolled in this analysis. After taking a detailed medical history, the study enrolled non-hospitalized subjects with medically and nutritionally controlled diseases such as diabetes mellitus, cardiovascular disease, and thyroid disease, excluding subjects with active infections and pregnant or lactating women. Measurement of somatometric characteristics and indirect calorimetry were performed. The values obtained from RMR measurement were compared with the values of the new equations and the Harris-Benedict, Mifflin-St Jeor, FAO/WHO/UNU, and Owen equations. New predictive RMR equations were developed using age, body weight, height, and sex parameters. RMR males: (9.65 × weight in kg) + (573 × height in m) - (5.08 × age in years) + 260; RMR females: (7.38 × weight in kg) + (607 × height in m) - (2.31 × age in years) + 43; RMR males: (4.38 × weight in pounds) + (14.55 × height in inches) - (5.08 × age in years) + 260; RMR females: (3.35 × weight in pounds) + (15.42 × height in inches) - (2.31 × age in years) + 43. The accuracy of the new equations was tested in the test group in both groups, in accordance with the resting metabolic rate measurements. The new equations showed more accurate results than the other equations, with the equation for men (R-squared: 0.95) showing better prediction than the equation for women (R-squared: 0.86). The new equations showed good accuracy at both group and individual levels, and better reliability compared to other equations using the same anthropometric variables as predictors of RMR. The new equations were created under modern obesogenic conditions, and do not exclude individuals with regulated (dietary or pharmacological) Westernized diseases (e.g., cardiovascular disease, diabetes, and thyroid disease).

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References
1.
Marra M, Cioffi I, Morlino D, Di Vincenzo O, Pagano M, Imperatore N . New Predictive Equations for Estimating Resting Energy Expenditure in Adults With Crohn's Disease. JPEN J Parenter Enteral Nutr. 2020; 44(6):1021-1028. PMC: 7496798. DOI: 10.1002/jpen.1790. View

2.
Compher C, Frankenfield D, Keim N, Roth-Yousey L . Best practice methods to apply to measurement of resting metabolic rate in adults: a systematic review. J Am Diet Assoc. 2006; 106(6):881-903. DOI: 10.1016/j.jada.2006.02.009. View

3.
Fairoosa P, Lanerolle P, de Lanerolle-Dias M, Wickramasinghe V, Waidyatilaka I . Development of a New Equation for the Prediction of Resting Metabolic Rate in Sri Lankan Adults. Int J Endocrinol. 2021; 2021:4170137. PMC: 7840262. DOI: 10.1155/2021/4170137. View

4.
Pavlidou E, Petridis D, Tolia M, Tsoukalas N, Poultsidi A, Fasoulas A . Estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate. Nutr Metab (Lond). 2018; 15:41. PMC: 6003108. DOI: 10.1186/s12986-018-0278-7. View

5.
de Oliveira B, Nicoletti C, de Oliveira C, Augusta de Souza Pinhel M, Quinhoneiro D, Noronha N . A new resting metabolic rate equation for women with class III obesity. Nutrition. 2018; 49:1-6. DOI: 10.1016/j.nut.2017.11.024. View