Korean Journal of Community Nutrition (대한지역사회영양학회지)

The Korean Society of Community Nutrition (대한지역사회영양학회)
권호 표지

Accuracy of Predictive Equations for Resting Metabolic Rate in Korean College Students

남녀 대학생에 있어서 휴식대사량 예측공식의 정확도 평가

  • Lee, Ga-Hee (Department of Food Science, Gangneung-Wonju National University) ;
  • Kim, Myung-Hee (Department of Food Science, Gangneung-Wonju National University) ;
  • Kim, Eun-Kyung (Department of Food Science, Gangneung-Wonju National University)
  • 이가희 (강릉원주대학교 생명과학대학 식품과학과) ;
  • 김명희 (강릉원주대학교 생명과학대학 식품과학과) ;
  • 김은경 (강릉원주대학교 생명과학대학 식품과학과)
  • Published : 2009.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study is to analyze the accuracy of predictive equations for resting metabolic rate (RMR) in Korean college students. Subjects were 60 healthy Korean college students (30 males, 30 females) aged 18-25 years. RMR was measured by indirect calorimetry. Predicted RMRs were calculated using the Harris-Benedict, Schofield (W)/(WH), FAO/ WHO/UNU(W)/(WH), Owen, Mifflin, Cunningham, Liu, IMNA and Henry (W)/(WH) equations. The accuracy of the equations was evaluated on basis of accurate prediction (the percentage of subjects whose RMR was predicted within 90% to 110% of the RMR measured), mean difference, RMSPE, mean % difference, limits of agreement of Bland- Altman method between predicted and measured RMR. Measured RMR of male and female students were $1833.4{\pm}307.4kcal/day$ and $1454.3{\pm}208.0kcal/day$, respectively. All predictive equations underestimated measured RMR. Of the predictive equations tested, the Harris-Benedict equation (mean difference: -80.4 kcal/day, RMSPE: 236 kcal/day, mean % difference: -3.1%) was the most accurate and precise, but accurate prediction of the equation was only 42%. Thus, this study suggests that the ethnicity-specific predictive equation from Korean people should be developed to improve the accuracy of predicted RMR for Koreans. (Korean J Community Nutrition 14(4) : 462${\sim}$473, 2009)

Keywords

References

  1. Bland JM, Altman DG (1986): Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327: 307-310 https://doi.org/10.1016/S0140-6736(86)90837-8
  2. Chang EJ, Lee KR (2005): Correlation between measured resting energy expenditure and predicted basal energy expenditure in female college students. J Korean Soc Food Sci Nutr 34(2): 196-201 https://doi.org/10.3746/jkfn.2005.34.2.196
  3. Compher C, Frankenfield D, Keim N, Roth-Yousey L (2006): Best practice methods to apply to measurement of resting metabolic rate in adults: A systematic review. J Am Diet Assoc 106(6): 881-903 https://doi.org/10.1016/j.jada.2006.02.009
  4. Cunningham JJ (1980): A reanalysis of the factors influencing basal metabolic rate in normal adults. Am J Clin Nutr 33(11): 2372-2374
  5. Cunningham JJ (1991): Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation. Am J Clin Nutr 54(6): 963-969
  6. Daly JM, Heymsfield SB, Head CA, Harvey LP, Nixon DW, Katzeff H, Grossman GD (1985): Human energy requirements: overestimation by widely used prediction equation. Am J Clin Nutr 42(6): 1170-1174
  7. DuBois D, DuBois EF (1915): The measurements of the surface area of man. Archives of Inter Med 15: 868-875
  8. FAO/WHO/UNU (1985): Energy and Protein Requirements. Report of a Joint FAO/WHO/UNU Expert Consultation. WHO Technical Report Series No. 724
  9. Frankenfield D, Roth-Yousey L, Conpher C (2005): Comparison of predictive equations for resting metabolic rate in healthy, nonobese and obese individuals: A systematic review. J Am Diet Assoc 105(5): 775-789 https://doi.org/10.1016/j.jada.2005.02.005
  10. Frankenfield DC, Rowe A, Smith JS, Cooney RN (2003): Validation of several established equations for resting metabolic rate in obese and nonobese people. J Am Diet Assoc 103(9): 1152-1159 https://doi.org/10.1016/S0002-8223(03)00982-9
  11. Harris JA, Benedict FG (1919): A Biometric Study of Basal Metabolism in Man. Carnegie Ins. Washington DC
  12. Haugen HA, Melanson EL, Tran ZV, Kearney JT, Hill JO (2003): Variability of measured resting metabolic rate. Am J Clin Nutr 78(6): 1141-1144
  13. Henry CJK (2005): Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutrition 8(7A): 1133-1152
  14. Henry CJK, Rees DG (1991): New predictive equations for the estimation of basal metabolic rate in tropical peoples. Eur J Clin Nutr 45(4): 177-185
  15. Institute of Medicine of the National Academies (2002): Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. pp.107-264. The National Academies Press. Washington D.C
  16. James WP (1985): Basal metabolic rate: Comments on the new equations. Hum Nutr Clin Nutr 39: 92-96
  17. Keiko OC, Brahler CJ, Cindy HM (1997): Resting energy expenditures in Asian women measured by indirect calorimetry are lower than expenditures calculated from prediction equations. Am J Diet Assoc 97(11): 1288-1292 https://doi.org/10.1016/S0002-8223(97)00308-8
  18. Kim EK, Kim GS, Park JS (2009): Comparison of activity factor, predicted resting metabolic rate, and intakes of energy and nutrients between athletic and non-athletic high school students. J Korean Diet Assoc 15(1): 52-68
  19. Korean Nutrition Society (2005): Dietary Reference Intakes For Koreans. Korean Nutrition Society. Seoul
  20. Liu HY, Lu YF, Chen WJ (1995): Predictive equations for basal metabolic rate in chinese adults: A cross-validation study. J Am Diet Assoc 95(12): 1403-1408 https://doi.org/10.1016/S0002-8223(95)00369-X
  21. Matarese LE (1997): Indirect calorimetry: Technical aspect. J Am Diet Assoc 97(10): 154-60 https://doi.org/10.1016/S0002-8223(97)00754-2
  22. Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO (1990): A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr 51(2): 241-247
  23. Ministry of Health and Welfare (2008): 2007 National Health and Nutritional Survey Report in Korea
  24. Owen OE, Holup JL, D'Alessio DA (1987): A reappraisal of caloric requirements of men. Am J Clin Nutr 46(6): 875-885
  25. Owen OE, Kavle E, Owen RS, Polansky M, Caprio S, Mzzoli MA, Kendrick ZV, Bushman MC, Boden G (1986): A reappraisal of caloric requirements in healthy women. Am J Clin Nutr 44(1): 1-19
  26. Park JA, Kim KJ, Kim JH, Park YS, Koo JO, Yoon JS (2003): A comparison of the resting energy expenditure of korean adults using indirect calorimetry. Korean J Community Nutr 8(6): 993-1000
  27. Piers LS, Shetty PS (1993): Basal metabolic rates of Indian women. Eur J Clin Nutr 47(8): 586-591
  28. Schofield C (1985a): An annotated bibliography of source material for basal meabolic rate data. Hum Nutr Clin Nutr 39: 42-91
  29. Schofield WN (1985b): Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39: 5-41
  30. Sheiner LB, Beal SL(1981): Some suggestions for measuring predictive performance. J Pharmacokinet Biopharm 9(4): 503-512 https://doi.org/10.1007/BF01060893
  31. Stewart CL, Goody CM, Branson R (2005): Comparison of two systems of measuring energy expenditure. J Parenter Enteral Nutr 29(3): 212-217 https://doi.org/10.1177/0148607105029003212
  32. Taaffe DR, Thompson J, Butterfield G, Marcus R (1995): Accuracy of equations to predict basal metabolic rate in older women. J Am Diet Assoc 95(12): 1387-1392 https://doi.org/10.1016/S0002-8223(95)00366-5
  33. Webb P (1981): Energy expenditure and fat-free mass in men and women. Am J Clin Nutr 34(9): 1816-1826
  34. Weijs PJM (2008): 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 88(4): 959-970
  35. Weir JB de V (1949): New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 109(1): 1-9
  36. Weststrate JA (1993): Resting metabolic rate and diet-induced thermogenesis: a methodological reappraisal. Am J Clin Nutr 58(5): 592-601