Preview

Obesity and metabolism

Advanced search

Comparison of the accuracy of resting metabolic rate in children with simple obesity using calculation formulas and indirect respiratory calorimetry

https://doi.org/10.14341/omet9729

Abstract

BACKGROUND: A prerequisite for planning a diet for weight loss in obese children is to determine the level of resting metabolic rate (RMR). The gold standard for estimating the daily energy consumption of rest is indirect respiratory calorimetry. However, given its high cost and labor intensity, various calculation formulas are widely used in clinical practice.


AIMS: to determine the accuracy of resting metabolic rate estimated by calculation formulas and indirect respiratory calorimetry in children with simple obesity.


MATERIALS AND METHODS: The study included 100 children aged 9 to 18 years, with a «simple» constitutional-exogenous obesity, which assessed the resting metabolic rate estimated by calculation formulas and indirect respiratory calorimetry.


RESULTS: The Molnar formula most accurately estimates resting metabolic rate, comparable to the results of indirect respiratory calorimetry in 64% of cases. The Harris-Benedict and IOM formulas yield an accurate result in 53 and 51% of the cases, respectively. The least accurate result is shown by WHO formula (22%). The minimum mean difference between the calculated and actual basal metabolic rate in obese boys for the Molnar formula is 18 kcal (CI: -53 to 90, 95% LOA from -490 to 527), in girls: -0.7 kcal (CI) : -65 - 63, 95% LOA from -435 to 434). Attention is drawn to the large mean difference and wide spread of the boundaries of the agreement of the studied indicators in obese children. In the evaluation, depending on the degree of obesity, it is shown that the formula Molnar has the highest accuracy, however, in children with morbid obesity, the accuracy of the evaluation is significantly reduced.


CONCLUSIONS: Indirect respiratory calorimetry is the preferred method of assessing resting metabolic rate in children with simple obesity.

About the Authors

Pavel L. Okorokov

Endocrinology Research Center


Russian Federation

MD, PhD



Olga V. Vasyukova

Endocrinology Research Center


Russian Federation

MD, PhD



Tatiana Y. Shiryaeva

Endocrinology Research Center


Russian Federation

MD, PhD



References

1. Российская ассоциация эндокринологов, Российское общество по профилактике неинфекционных болезней, Ассоциация детских кардиологов России. Рекомендации по диагностике, лечению и профилактике ожирения у детей и подростков. – М.: Практика, 2015. [Russian Association of Endocrinologists, Russian society of non-communicable diseases prevention, Association of Pediatric Cardiologists of Russia. Rekomendatsii po diagnostike, lecheniyu i profi laktike ozhireniya u detei i podrostkov. Moscow: Praktika; 2015. (In Russ.)].

2. Bosy-Westphal A, Reinecke U, Schlörke T, et al. Effect of organ and tissue masses on resting energy expenditure in underweight, normal weight and obese adults. Int J Obes. 2004;28(1):72-79. doi: 10.1038/sj.ijo.0802526

3. Harris JA, Benedict FG. A Biometric Study of Human Basal Metabolism. Proc Natl Acad Sci. 1918;4(12):370-373. doi: 10.1073/pnas.4.12.370

4. Schofield WN. Predicting basal metabolic rate, new standards and review or previous work. Hum Nutr Clin Nutr. 1985; 39(Suppl 1):5–41. PMID: 4044297

5. Joint FAO/WHO/UNU Expert Consultation on Energy and Protein Requirements. Energy and protein requirements. World Health Organ Tech Rep Ser. 1985;724:1-206. Available from: https://apps.who.int/iris/handle/10665/39527

6. Institute of Medicine. 2005. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. Washington, DC: The National Academies Press; 2005. doi: 10.17226/10490

7. Molnár D, Jeges S, Erhardt E, Schutz Y. Measured and predicted resting metabolic rate in obese and nonobese adolescents. J Pediatr. 1995;127(4):571-577. doi: 10.1016/S0022-3476(95)70114-1

8. Окороков П.Л. Роль непрямой респираторной калориметрии в оценке основного обмена в покое у детей с ожирением // Проблемы эндокринологии. — 2018. — Т.64. — №2. — С.130-136. [Okorokov PL. The role of indirect calorimetry in assessing of resting metabolic rate in obese children. Problems of Endocrinology. 2018;64(2):130-136. (In Russ.)]. doi: 10.14341/probl8754

9. Flack KD, Siders WA, Johnson L, Roemmich JN. Cross-Validation of Resting Metabolic Rate Prediction Equations. J Acad Nutr Diet. 2016;116(9):1413-1422. doi: 10.1016/j.jand.2016.03.018

10. Петеркова В.А., Васюкова О.В. К вопросу о новой классификации ожирения у детей и подростков // Проблемы эндокринологии. — 2015. — Т.61. — №2. — С.39-44. [Peterkova VA, Vasyukova OV. About the new classification of obesity in the children and adolescents. Problems of Endocrinology. 2015;61(2):39-44. (In Russ.)]. doi: 10.14341/probl201561239-44

11. Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res. 1999;8(2):135-160. doi: 10.1191/096228099673819272

12. Hofsteenge GH, Chinapaw MJ, Delemarre-van de Waal HA, Weijs PJ. Validation of predictive equations for resting energy expenditure in obese adolescents. Am J Clin Nutr. 2010;91(5):1244-1254. doi: 10.3945/ajcn.2009.28330

13. Martincevic I, Mouzaki M. Resting Energy Expenditure of Children and Adolescents With Nonalcoholic Fatty Liver Disease. J Parenter Enter Nutr. 2017;41(7):1195-1201. doi: 10.1177/0148607116658761

14. Van Mil EGAH, Westertep KR, Kester ADM, Saris WHM. Measurement: Energy metabolism in relation to body composition and gender in adolescents. Arch Dis Child. 2001;85(1):73-78. doi: 10.1136/adc.85.1.73

15. Henes ST, Cummings DM, Hickner RC, et al. Comparison of Predictive Equations and Measured Resting Energy Expenditure Among Obese Youth Attending a Pediatric Healthy Weight Clinic. Nutr Clin Pract. 2013;28(5):617-624. doi: 10.1177/0884533613497237

16. Rodríguez G, Moreno LA, Sarría A, et al. Resting energy expenditure in children and adolescents: agreement between calorimetry and prediction equations. Clin Nutr. 2002;21(3):255-260. doi: 10.1054/clnu.2001.0531

17. Cheng HL, Amatoury M, Steinbeck K. Energy expenditure and intake during puberty in healthy nonobese adolescents: a systematic review. Am J Clin Nutr. 2016;104(4):1061-1074. doi: 10.3945/ajcn.115.129205


Supplementary files

1. Figure 1. Assessment of the degree of bias between the calculated and actual indicators of basic metabolism at rest (RMR) depending on gender, degree of obesity and stage of sexual development.
Subject
Type Исследовательские инструменты
View (552KB)    
Indexing metadata ▾

Review

For citations:


Okorokov P.L., Vasyukova O.V., Shiryaeva T.Y. Comparison of the accuracy of resting metabolic rate in children with simple obesity using calculation formulas and indirect respiratory calorimetry. Obesity and metabolism. 2019;16(2):54-59. (In Russ.) https://doi.org/10.14341/omet9729

Views: 1842


ISSN 2071-8713 (Print)
ISSN 2306-5524 (Online)