Nutr Res Pract.  2017 Aug;11(4):300-306. 10.4162/nrp.2017.11.4.300.

Validation of dietary reference intake equations for estimating energy requirements in Korean adults by using the doubly labeled water method

• Kim EK
• Kim JH
• Kim MH
• Ndahimana
• Yean SE
• Yoon JS
• Kim JH
• Park J
• Ishikawa-Takata K

• KMID: 2385468
• DOI: http://doi.org/10.4162/nrp.2017.11.4.300

Abstract

BACKGROUND/OBJECTIVES
The doubly labeled water (DLW) method is considered the gold standard for the measurement of total energy expenditure (TEE), which serves to estimate energy requirements. This study evaluated the accuracy of predictive dietary reference intake (DRI) equations for determining the estimated energy requirements (EER) of Korean adults by using the DLW as a reference method.
SUBJECTS/METHODS
Seventy-one participants (35 men and 36 women) aged between 20 and 49 years were included in the study. The subjects' EER, calculated by using the DRI equation (EER(DRI)), was compared with their TEE measured by the DLW method (TEE(DLW)).
RESULTS
The DRI equations for EER underestimated TEE by -36.3 kcal/day (-1.3%) in men and -104.5 kcal/day (-4.9%) in women. The percentages of accurate predictions among subjects were 77.1% in men and 62.9% in women. There was a strong linear correlation between EER(DRI) and TEE(DLW) (r=0.783, P<0.001 in men and r=0.810, P<0.001 in women).
CONCLUSIONS
The present study supports the use of DRI prediction equations to determine EER in Korean adults. More studies are needed to confirm our results and to assess the validity of these equations in other population groups, including children, adolescents, and older adults.

Keyword

Nutritional requirements; energy metabolism; adult

MeSH Terms

Adolescent
Adult*
Child
Energy Metabolism
Female
Humans
Male
Methods*
Nutritional Requirements
Population Groups
Recommended Dietary Allowances*
Water*
Water

Figure

• 

  Fig. 1 Protocol of the study. 1)DLW: Doubly labeled water 2) REE: Resting energy expenditure

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  Fig. 2 Correlation between EERDRI and TEEDLW in men (A) and women (B). TEEDLW: total energy expenditure measured with the DLW method. EERDRI: estimated energy requirements calculated by using the DRI predictive equation

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  Fig. 3 Bland-Altman plots for the EERDRI and TEEDLW in men (A) and women (B). TEEDLW: total energy expenditure measured with the DLW method. EERDRI: estimated energy requirements calculated by using the DRI predictive equation

Reference

1. Lifson N, Gordon GB, McClintock R. Measurement of total carbon dioxide production by means of D2O18. J Appl Physiol. 1955; 7:704–710.

2. Park J, Kazuko IT, Kim E, Kim J, Yoon J. Estimating free-living human energy expenditure: practical aspects of the doubly labeled water method and its applications. Nutr Res Pract. 2014; 8:241–248.

3. Institute of Medicine of the National Academies (US). Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. Washington, D.C.: National Academies Press;2002.

4. Hill JO, Wyatt HR, Peters JC. Energy balance and obesity. Circulation. 2012; 126:126–132.

5. Wong WW, Roberts SB, Racette SB, Das SK, Redman LM, Rochon J, Bhapkar MV, Clarke LL, Kraus WE. The doubly labeled water method produces highly reproducible longitudinal results in nutrition studies. J Nutr. 2014; 144:777–783.

6. Ministry of Health and Welfare (KR). The Korean Nutrition Society. Dietary Reference Intakes for Koreans 2015. Sejong: Ministry of Health and Welfare;2016.

7. Wang X, You T, Lenchik L, Nicklas BJ. Resting energy expenditure changes with weight loss: racial differences. Obesity (Silver Spring). 2010; 18:86–91.

8. Weir JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol. 1949; 109:1–9.

9. Ndahimana D, Kim EK. Measurement methods for physical activity and energy expenditure: a review. Clin Nutr Res. 2017; 6:68–80.

10. Bhutani S, Racine N, Shriver T, Schoeller DA. Special considerations for measuring energy expenditure with doubly labeled water under atypical conditions. J Obes Weight Loss Ther. 2015; 5:002.

11. Black AE, Prentice AM, Coward WA. Use of food quotients to predict respiratory quotients for the doubly-labelled water method of measuring energy expenditure. Hum Nutr Clin Nutr. 1986; 40:381–391.

12. 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; 88:959–970.

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; 105:775–789.

14. Marra M, Montagnese C, Sammarco R, Amato V, Della Valle E, Franzese A, Contaldo F, Pasanisi F. Accuracy of predictive equations for estimating resting energy expenditure in obese adolescents. J Pediatr. 2015; 166:1390–1396.e1.

15. Sheiner LB, Beal SL. Some suggestions for measuring predictive performance. J Pharmacokinet Biopharm. 1981; 9:503–512.

16. Taaffe DR, Thompson J, Butterfield G, Marcus R. Accuracy of equations to predict basal metabolic rate in older women. J Am Diet Assoc. 1995; 95:1387–1392.

17. Barnston AG. Correspondence among the correlation, RMSE, and Heidke forecast verification measures; refinement of the Heidke score. Weather Forecast. 1992; 7:699–709.

18. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986; 1:307–310.

19. Yoon JS. A study to determine the recommended dietary allowance of energy and to develop practical dietary education program for Korean adults. Seoul: Ministry of Health and Welfare;2002.

20. Kim Y, Na HJ. The estimation of the daily energy expenditure of Korean adolescents. Korean J Community Nutr. 2003; 8:270–279.

21. Choi HJ, Song JM, Kim EK. Assessment of daily steps, activity coefficient, body composition, resting energy expenditure and daily energy expenditure in female university students. J Korean Diet Assoc. 2005; 11:159–169.

22. Lee HM, Kim EK. Assessment of daily steps, physical activity and activity coefficient of the elementary school children in the rural area. Korean J Community Nutr. 2007; 12:361–371.

23. Lee JS, Lee GH, Kim EK. Assessment of daily steps, activity coefficient and daily energy expenditures of dieticians in Youngdong-area. J Korean Diet Assoc. 2006; 12:277–288.

24. Lee SH, Park JS, Kim EK. Assessment of daily steps, physical activities and activity coefficient of policemen who do shift-work. Korean J Nutr. 2007; 40:576–583.

25. de la Torre CL, Ramírez-Marrero FA, Martínez LR, Nevárez C. Predicting resting energy expenditure in healthy Puerto Rican adults. J Am Diet Assoc. 2010; 110:1523–1526.

26. Okubo H, Sasaki S, Rafamantanantsoa HH, Ishikawa-Takata K, Okazaki H, Tabata I. Validation of self-reported energy intake by a self-administered diet history questionnaire using the doubly labeled water method in 140 Japanese adults. Eur J Clin Nutr. 2008; 62:1343–1350.

27. Harris JA, Benedict FG. A biometric study of human basal metabolism. Proc Natl Acad Sci U S A. 1918; 4:370–373.

28. Schofield WN. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr. 1985; 39:Suppl 1. 5–41.

29. Webb P. Energy expenditure and fat-free mass in men and women. Am J Clin Nutr. 1981; 34:1816–1826.

30. Tooze JA, Schoeller DA, Subar AF, Kipnis V, Schatzkin A, Troiano RP. Total daily energy expenditure among middle-aged men and women: the OPEN study. Am J Clin Nutr. 2007; 86:382–387.

31. Carpenter WH, Fonong T, Toth MJ, Ades PA, Calles-Escandon J, Walston JD, Poehlman ET. Total daily energy expenditure in free-living older African-Americans and Caucasians. Am J Physiol. 1998; 274:E96–E101.

32. Ishikawa-Takata K, Naito Y, Tanaka S, Ebine N, Tabata I. Use of doubly labeled water to validate a physical activity questionnaire developed for the Japanese population. J Epidemiol. 2011; 21:114–121.

33. Ishikawa-Takata K, Tabata I, Sasaki S, Rafamantanantsoa HH, Okazaki H, Okubo H, Tanaka S, Yamamoto S, Shirota T, Uchida K, Murata M. Physical activity level in healthy free-living Japanese estimated by doubly labelled water method and International Physical Activity Questionnaire. Eur J Clin Nutr. 2008; 62:885–891.

34. Ndahimana D, Lee SH, Kim YJ, Son HR, Ishikawa-Takata K, Park J, Kim EK. Accuracy of dietary reference intake predictive equation for estimated energy requirements in female tennis athletes and non-athlete college students: comparison with the doubly labeled water method. Nutr Res Pract. 2017; 11:51–56.

35. Gonseth S, Dugas L, Viswanathan B, Forrester T, Lambert V, Plange-Rhule J, Durazo-Arvizu R, Luke A, Schoeller DA, Bovet P. Association between smoking and total energy expenditure in a multi-country study. Nutr Metab (Lond). 2014; 11:48.

36. St-Onge M, Mignault D, Allison DB, Rabasa-Lhoret R. Evaluation of a portable device to measure daily energy expenditure in free-living adults. Am J Clin Nutr. 2007; 85:742–749.

37. Siervo M, Bertoli S, Battezzati A, Wells JC, Lara J, Ferraris C, Tagliabue A. Accuracy of predictive equations for the measurement of resting energy expenditure in older subjects. Clin Nutr. 2014; 33:613–619.