Accuracy of Four Resting Metabolic Rate Predictive Equations in Obese Women

Do Kyung Kim; Won Hah Park

doi:10.5763/kjsm.2015.33.1.29

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Kim and Park: Accuracy of Four Resting Metabolic Rate Predictive Equations in Obese Women

Original Article

Korean J Sports Med 2015;33(1):29-33.

Published online: 19 January 2015

DOI: https://doi.org/10.5763/kjsm.2015.33.1.29

Accuracy of Four Resting Metabolic Rate Predictive Equations in Obese Women

Do Kyung Kim, Won Hah Park

Division of Sports Medicine, Department of Physical and Rehabilitation Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea

Correspondence: Won Hah Park Division of Sports Medicine, Department of Physical and Rehabilitation Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 135-710, Korea Tel: +82-2-3410-3847, Fax: +82-2-3410-6689 E-mail: hrmax1@naver.com

Received 25 March 2015 Revised 8 May 2015 Accepted 22 May 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.

Keywords: Calorimetry, Indirect, Obesity, Predictive value of tests, Female

REFERENCES

1.Bernstein RS., Thornton JC., Yang MU, et al. Prediction of the resting metabolic rate in obese patients. Am J Clin Nutr. 1983. 37:595–602.

2.Speakman JR., Selman C. Physical activity and resting metabolic rate. Proc Nutr Soc. 2003. 62:621–34.

3.Hasson RE., Howe CA., Jones BL., Freedson PS. Accuracy of four resting metabolic rate prediction equations: effects of sex, body mass index, age, and race/ethnicity. J Sci Med Sport. 2011. 14:344–51.

4.Compher C., Frankenfield D., Keim N., Roth-Yousey L., Evidence Analysis Working G. Best practice methods to apply to measurement of resting metabolic rate in adults: a systematic review. J Am Diet Assoc. 2006. 106:881–903.

5.Harris JA., Benedict FG. A biometric study of basal metabolism in man. Washington: Carnegie institution of Washington;1919.

6.Energy and protein requirements: report of a joint FAO/WHO/UNU Expert Consultation. World Health Organ Tech Rep Ser. 1985. 724:1–206.

7.Owen OE. Resting metabolic requirements of men and women. Mayo Clin Proc. 1988. 63:503–10.

8.Mifflin MD., St Jeor ST., Hill LA., Scott BJ., Daugherty SA., Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990. 51:241–7.

9.Weijs PJ., Vansant GA. Validity of predictive equations for resting energy expenditure in Belgian normal weight to morbid obese women. Clin Nutr. 2010. 29:347–51.

10.Weijs PJ. Validity of predictive equations for resting energy expenditure in US and Dutch overweight and obese class I and II adults aged 18-65 y. Am J Clin Nutr. 2008. 88:959–70.

11.Frankenfield DC., Rowe WA., Smith JS., Cooney RN. Validation of several established equations for resting metabolic rate in obese and nonobese people. J Am Diet Assoc. 2003. 103:1152–9.

12.Ravussin E., Lillioja S., Knowler WC, et al. Reduced rate of energy expenditure as a risk factor for body-weight gain. N Engl J Med. 1988. 318:467–72.

13.Frankenfield D., Roth-Yousey L., Compher C. Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: a systematic review. J Am Diet Assoc. 2005. 105:775–89.

14.Lazzer S., Agosti F., Silvestri P., Derumeaux-Burel H., Sartorio A. Prediction of resting energy expenditure in severely obese Italian women. J Endocrinol Invest. 2007. 30:20–7.

15.Chang UJ., Lee KR. Correlation between measured resting energy expenditure and predicted basal energy expenditure in female college students. J Korean Soc Food Sci Nutr. 2005. 34:196–201.

Fig. 1.

Measurement of resting metabolic rate.

Fig. 2.

Adjusted mean differences between the measured and predicted RMR. p＜0.05. RMR: resting metabolic rate, MRMR: measured resting metabolic rate, WHO/FAU/UNU: World Health Organization/Food and Agriculture Organization/ United Nations University.

Table 1.

Characteristics of study subjects

	N	Age (y)	Height (cm)	Weight (kg)	BMI (kg/m²)	%BF (%)
Subject	40	45.3±8.0	159.3±3.0	74.2±12.4	29.5±3.2	36.3±4.2

BMI: body mass index, %BF: %body fat.

Table 2.

Four resting metabolic rate prediction equations

Harris-Benedict (1919)
-Women: RMR=665.09＋9.56×weight＋1.84×height−4.67×
age
WHO/FAO/UNU (1985)
-Women
18−30: 13.3×weight＋334×height＋35
31−60: 8.7×weight−25×height＋865
＞60: 9.2×weight＋637×height−302
Owen (1986−87)
-Women: RMR=795＋7.18×weight.
Mifflin-St Jeor (1990)
-Women: RMR=9.99×weight＋6.25×height−4.92×age−
161

RMR: resting metabolic rate, WHO/FAO/UNU: World Health Organization/Food and Agriculture Organization/United Nations University.

Table 3.

Comparison of resting metabolic rate and predicted resting metabolic rate

	No.	Measured RMR (kcal/d)	Harris-Benedict	WHO/FAO/UNU	Owen	Mifflin-ST Jeor
Subject	40	1,484.3±218.3	1,570.6±148.0	1,543.6±110.3	1,320.1±106.1	1,343.8±134.5^⋆
PRMR-MRMR			86.3±72.3	61.3±44.7	−164.1±62.8^⋆	−140.5±68.8^⋆
		c rate, WHO/FAO/ R: predicted restin	UNU: World Health g metabolic rate, M	h Organization/Food MRMR: measured re	d and Agriculture sting metabolic rat	Organization/United e.

RMR: Resting metabolic rate, WHO/FAO/UNU: World Health Organization/Food and Agriculture Organization/United Nations University, PRMR: predicted resting metabolic rate, MRMR: measured resting metabolic rate.

^⋆ p < 0.05

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