Journals / Spor Bilimleri Dergisi / 2026 / Cilt: 28 Sayı: 2

Comparing Resting Metabolic Rate Values Measured By Indirect Calorimetry With Some Predictive Equations

İndirekt Kalorimetre İle Ölçülen Dinlenik Metabolik Hız Değerlerinin Bazı Kestirim Formülleri İle Karşılaştırılması

Pages
103–114
Publication Date
2017-11-14
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Since men and women who constitute our research group were included in the overweight population, we concluded that Miflin in males and Maffeis estimation in females were the most appropriate predictive equation to be used for estimating the resting metabolic rate for males and females in similar populations.

📌 3 Key Takeaways

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Objective & Hypothesis:The purpose of the study is to compare the most commonly used predictive formulas of resting metabolic rate used in the field with the indirect caloric method.
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Key Findings & Data:The study group consisted of 20 males (Xage=39,5􀁲12,5 years, Xweight =78,8 􀁲12,5 kg, Xheight =173,6 􀁲 6,4 cm, Xbmi=26,05􀁲3,21 kg/m2) and 13 women (Xage=35,2􀁲 9,6 years, Xweight = 68,21􀁲12,6 kg, Xheight =162,8􀁲4,9 cm, Xbmi=25,83􀁲5,88 kg/m2).
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Conclusion & Impact:Since men and women who constitute our research group were included in the overweight population, we concluded that Miflin in males and Maffeis estimation in females were the most appropriate predictive equation to be used for estimating the resting metabolic rate for males and females in similar populations.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Dinlenik Metabolik Hız · İndirek Kalorimetre · Kestirim Formülleri

Abstract

The purpose of the study is to compare the most commonly used predictive formulas of resting metabolic rate used in the field with the indirect caloric method. The study group consisted of 20 males (Xage=39,5􀁲12,5 years, Xweight =78,8 􀁲12,5 kg, Xheight =173,6 􀁲 6,4 cm, Xbmi=26,05􀁲3,21 kg/m2) and 13 women (Xage=35,2􀁲 9,6 years, Xweight = 68,21􀁲12,6 kg, Xheight =162,8􀁲4,9 cm, Xbmi=25,83􀁲5,88 kg/m2). The resting metabolic rate measurements of the study group were measured with a COSMED K5 instrument. The height dimensions for the estimation formulas were measured with the Holtain Portable Stadiometer and the body weights with the Tanita MC 780 instrument. The research group was provided with a silent and dim environment for the room where the measurement was made, and keeping the temperature at 20- 22°C during the tests. The measurement of resting metabolic rate of the study group was started for each participant between 8-9 hours in the morning and after resting in a supine position extending for 20 minutes. The resting metabolic rate measurement lasted 15 minutes and the last 10 minutes were recorded. Bland- Altman method and regression analysis were applied to the resting metabolic rate obtained from Cosmed K5 device and SPSS 17.0 package program for harmony between the values obtained from Harris-Benedict, Mifflin, Liu’s, Maffeis, Schofield and WHO estimation formulas. For significance level P<0.05 was taken. When the regression analyzes are examined, it has been determined that the values obtained from men in the estimation formulas are higher than those obtained from females. Since men and women who constitute our research group were included in the overweight population, we concluded that Miflin in males and Maffeis estimation in females were the most appropriate predictive equation to be used for estimating the resting metabolic rate for males and females in similar populations.

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Cite This Article

Tortu, E. (2017). Comparing Resting Metabolic Rate Values Measured By Indirect Calorimetry With Some Predictive Equations. Spor Bilimleri Dergisi, Cilt: 28 Sayı: 2, 103–114. https://doi.org/10.17644/sbd.356725

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References (3)

  1. Anderson EJ, Sylvia LG, Lynch M, Sonnenberg L, Lee H, & Nathan DM. (2014). Comparison of energy assessment methods in overweight individuals. Journalof the Academy of Nutrition and Dietetics, 114(2), 273- 278.
  2. Carla, L, Ramírez-Marrero FA, Martínez LR & Nevárez C. (2010). Predicting resting energy expenditure in healthy Puerto Rican adults. Journal of the American Dietetic Association, 110(10), 1523-1526.
  3. Cruz CM, da Silva A & Dos Anjos L. (1999). Basal metabolic rate is overestimated by predictive equation in college-age women of Rio de Janeiro, Brazil. Archivos latinoamericanos de nutricion, 49(3), 232-237.