Korean J Community Nutr.  2018 Oct;23(5):424-430. 10.5720/kjcn.2018.23.5.424.

Comparison of Predicted and Measured Resting Energy Expenditure in Overweight and Obese Korean Women

• Park JS
• Yim JE

• KMID: 2424741
• DOI: http://doi.org/10.5720/kjcn.2018.23.5.424

Abstract

OBJECTIVES
The purpose of this study was to compare predictions and measurements of the resting energy expenditure (REE) of overweight and obese adult women in Korea.
METHODS
The subjects included 65 overweight or obese adult women ranging in age from 20~60 with a recorded body mass index (BMI) of 23 or higher. Their height, weight, waist-hip ratio, and blood pressure were measured. The investigator also measured their body fat, body fat percentage, and body composition of total weight without fat using Dual energy X-ray absorptiometry (DXA) and measured resting energy expenditure by indirect calorimetry. Measured resting energy expenditures were compared with predictions from six methods: Harris-Benedict, Mifflin, Owen, WHO-WH, Henry-WH, and KDRI.
RESULTS
Harris-Benedict predictions showed the smallest differences from measured resting energy expenditure at an accurate prediction rate of 70%. The study analyzed regression between measured resting energy expenditure and body measurements including height, weight and age. The formula proposed by this research is as follows: Proposed REE equation for overweight and obese Korean women = 721 − (1.5 × age) + (0.4 × height) + (9.9 × weight).
CONCLUSIONS
These findings suggest that age is a significant variable when predicting resting energy expenditure in overweight and obese women. Therefore, prediction of resting energy expenditure should consider age when determining energy requirements in overweight and obese women.

Keyword

overweight; obese; resting energy expenditure

MeSH Terms

Absorptiometry, Photon
Adipose Tissue
Adult
Blood Pressure
Body Composition
Body Mass Index
Calorimetry, Indirect
Energy Metabolism*
Female
Humans
Korea
Overweight*
Research Personnel
Waist-Hip Ratio

Figure

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  Fig. 1 Correlation coefficient between Age and Value of difference of Indirect Calorimetry method and Harris-Benedict formula method

Reference

1. WHO. Obesity and overweight. [internet]. WHO;2017. cited 18 Oct 2017. Available from: http://www.who.int/.

2. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2016: Korea National Health and Nutrition Examination Survey (KNHANES VI-3). Sejong: Ministry of Health and Welfare;2017.

3. Abdelaal M, Roux CW, Docherty NG. Morbidity and mortality associated with obesity. Ann Transl Med. 2017; 5(7):161.

4. Seo YW, Lee HJ, Yun KE, Park HS. Energy intake and resting energy expenditure of middle-aged obese Korean women. Korean J Obes. 2009; 18(1):31–37.

5. Poehlman ET. Exercise and its influence on resting energy metabolism in man. Med Sci Sports Exerc. 1989; 21(5):515–525.

6. Ravussin E, Harper IT, Rising R, Bogardus C. Energy expenditure by doubly labeled water: validation in lean and obese subjects. Am J Physiol. 1991; 261(3 Pt 1):E402–E409.

7. Johnston SL, Souter DM, Tolkamp BJ, Gordon IJ, Illius AW, Kyriazakis I, et al. Intake compensates for resting metabolic rate variation in female C57BL/6J mice fed high-fat diets. Obesity. 2007; 15(3):600–606.

8. Stewart CL, Goody CM, Branson R. Comparison of two systems of measuring energy expenditure. JPEN J Parenter Enteral Nutr. 2005; 29(3):212–217.

9. 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(5):775–789.

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

11. Joint FAO/WHO/UNU. Energy and protein requirements: report of a joint FAO/WHO/UNU Expert Consultation. World Health Organ Tech Rep Ser. 1985; 724:201–206.

12. Owen OE. Resting metabolic requirements of men and women. Mayo Clin Proc. 1988; 63(5):503–510.

13. 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(2):241–247.

14. Henry CJ. Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutr. 2005; 8(7A):1133–1152.

15. Son HR, Yeon SE, Cho JS, Kim EK. The measurements of the resting metabolic rate (RMR) and the accuracy of RMR predictive equations for Korean farmers. Korean J Community Nutr. 2014; 19(6):568–580.

16. Choi SH, Jo MW, Shin DS. Effects of the 8-week resistance exercise on body composition, serum hormone profiles and feeding patterns of obese females. Korean J Nutr. 2004; 37(10):888–898.

17. Lee JH. Treatment of obesity. Korean J Community Nutr. 1990; 29(3):307–320.

18. Yim JE, Kim YS, Choue R. Effects of age on changes of body composition through caloric restriction in overweight and obese women. J Nutr Health. 2013; 46(5):410–417.

19. Ministry of Health and Welfare and Korea Centers for Disease Control and Prevention. Korea Health Statistics 2014: Korea National Health and Nutrition Examination Survey [KNHANESVI-2]. Sejong: Ministry of Health and Welfare;2015.

20. Neeland IJ, Turer AT, Ayers CR, Powell-Wiley TM, Vega GL, Farzaneh-Far R, et al. Dysfunctional adiposity and the risk of prediabetes and type 2 diabetes in obese adults. JAMA. 2012; 308(11):1150–1159.

21. Derumeaux-Burel H, Meyer M, Morin L, Boirie Y. Prediction of resting energy expenditure in a large population of obese children. Am J Clin Nutr. 2004; 80(6):1544–1550.

22. Lee GH, Kim MH, Kim EK. Accuracy of predictive equations for resting metabolic rate in Korean college students. Korean J Community Nutr. 2009; 14(4):462–473.

23. Nam AY, Lee SY, Lee KJ, Park SB. The relationship between resting metabolic rate and cardiovascular risk factors in the obesity women. Korean J Obes. 2008; 17(2):73–81.

24. Park JA, Kim KJ, Yoon JS. A comparison of energy intake and energy expenditure in normal-weight and over-weight Korean adults. Korean J Community Nutr. 2004; 9(3):285–291.

25. Daly JM, Heymsfield SB, Head CA, Harvey LP, Nixon DW, Katzeff H, et al. Human energy requirements: overestimation by widely used prediction equation. Am J Clin Nutr. 1985; 42(6):1170–1174.

26. Ravussin E, Lillioja S, Knowler WC, Christin L, Freymond D, Abbott W, et al. Reduced rate of energy expenditure as a risk factor for body-weight gain. N Engl J Med. 1988; 318(8):467–472.

27. Weijs PJ. Validity of predictive equations for resting energy expenditure in US and Dutch overweight and obese class I and II adults aged 18-65y. Am J Clin Nutr. 2008; 88(4):959–970.

28. Bosy-Westphal A, Eichhorn C, Kutzner D, Illner K, Heller M, Muller MJ. The age-related decline in resting energy expenditure in human is due to the loss the loss of fat-free mass and to alteration in its metabolically active components. J Nutr. 2003; 133(7):2356–2362.

29. Kyle UG, Genton L, Hans D, Karsegard L, Solsman DO, Pichard C. Age-related differences in fat-free mass, skeletal muscle, body cell mass and fat mass between 18 and 94 years. Eur J Clin Nutr. 2001; 55(8):663.

30. Hong SG. Energy balance and obesity. J Korean Beriatr. 2000; 9(3):1–5.

31. Goran MI, Kaskoun MC, Johnson RK. Determinants of resting energy expenditure in young children. J Pediatr. 1994; 125(3):362–367.

32. Ravussin E, Lillioja S, Knower WC, Christin L, Freymond D, Abbott WG, et al. Reduced rate of energy expenditure as a risk factor for body weight gain. N Engl J Med. 1988; 318(8):467–472.

33. Napoli R, Horton ES. Present knowledge in nutrition. 7th edition. Washing USA: ILSI press;1998.