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Vybornaya KV, Sokolov AI, Kobelkova IV, et al. [Basal metabolic rate as an integral indicator of metabolism intensity]. Vopr Pitan. 2017;86(5):5-10doi: 10.24411/0042-8833-2017-00069.
Vybornaya, K. V., Sokolov, A. I., Kobelkova, I. V., Lavrinenko, S. V., Klochkova, S. V., & Nikityuk, D. B. (2017). [Basal metabolic rate as an integral indicator of metabolism intensity]. Voprosy pitaniia, 86(5), 5-10. https://doi.org/10.24411/0042-8833-2017-00069
Vybornaya, K V, et al. "[Basal metabolic rate as an integral indicator of metabolism intensity]." Voprosy pitaniia vol. 86,5 (2017): 5-10. doi: https://doi.org/10.24411/0042-8833-2017-00069
Vybornaya KV, Sokolov AI, Kobelkova IV, Lavrinenko SV, Klochkova SV, Nikityuk DB. [Basal metabolic rate as an integral indicator of metabolism intensity]. Vopr Pitan. 2017;86(5):5-10. doi: 10.24411/0042-8833-2017-00069. Epub 2017 Sep 08. Russian. PMID: 30695621.
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Vopr Pitan. 2017;86(5):5-10. doi: 10.24411/0042-8833-2017-00069. Epub 2017 Sep 08.

[Basal metabolic rate as an integral indicator of metabolism intensity].

Voprosy pitaniia

[Article in Russian]
K V Vybornaya, A I Sokolov, I V Kobelkova, S V Lavrinenko, S V Klochkova, D B Nikityuk

Affiliations

  1. Federal Research Centre of Nutrition, Biotechnology and Fo?d Safety, Moscow.
  2. I.M. Sechenov First Moscow State Medical University.

PMID: 30695621 DOI: 10.24411/0042-8833-2017-00069

Abstract

The basal metabolism rate (BMR) is of great importance in the assessment of daily energy requirements and physical activity level of a person. Article reviews the factors influencing the BMR. The BMR significantly correlates with weight, height, age, sex. Prediction equations based on these factors account for approximately 70% of the variability of the basal metabolism. However, these equations do not take into account the effect of body composition. The BMR is associated with lean body mass. Among body composition indicators lean body mass is the strongest determinant of BMR. The rate of basal metabolism, predicted on the basis of the relationship with the lean body mass covers the same 70% of the variability that are determined by gender and age differences, as most of the variability due to gender and age differences. In addition, the role of physical activity and nutrition as factors that affect the value of the BMR is discussed. The conclusion is made that lean body mass is the strongest predictor of BMR. Body fat mass also affects the basal metabolic rate as well as physical activity level and nutrition.

Copyright© GEOTAR-Media Publishing Group.

Keywords: basal metabolic rate; body composition; dietary factors; energy needs; physical activity; prediction of basal metabolic rate

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