Accuracy of Four Resting Metabolic Rate Predictive Equations in Obese Women.
10.5763/kjsm.2015.33.1.29
- Author:
Do Kyung KIM
1
;
Won Hah PARK
Author Information
1. Division of Sports Medicine, Department of Physical and Rehabilitation Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. hrmax1@naver.com
- Publication Type:Original Article
- Keywords:
Calorimetry;
Indirect;
Obesity;
Predictive value of tests;
Female
- MeSH:
Agriculture;
Body Weight;
Calorimetry;
Calorimetry, Indirect;
Female;
Humans;
Obesity;
Predictive Value of Tests;
World Health;
World Health Organization
- From:The Korean Journal of Sports Medicine
2015;33(1):29-33
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Calculating the estimated resting metabolic rate (RMR) in severely obese patients is useful, but there is controversy concerning the effectiveness of available predictive equations using body weight. This study compared the accuracy of four commonly used RMR predictive equations to measured RMR. We evaluated the efficacy of RMR equations against indirect calorimetry in forth female obese subjects. The subjects had their RMR measured by indirect calorimetry and compared to the most commonly used prediction equations (Harris-Benedict, Owen, and Mifflin-St Jeor, World Health Organization/Food and Agriculture Organization/United Nations University [WHO/FAU/UNU]). The results shows that Owen and Mifflin-St Jeor equations significantly under-estimated to our measured RMR. However, the WHO/FAO/UNU Equation was the most accurately predictive RMR values (1,543.6+/-110.3 vs. 1,484.3+/-218.3) compared to measured RMR. As based on data, we suggest that WHO/FAO/UNU equation and Harris-Benedicts equation would be most reasonable and useful for Korean obese women.
