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2012, Number 2

Rev Endocrinol Nutr 2012; 20 (2)

A comparison of the calculation of energy expenditure by 4 different equations versus indirect calorimetry in women with normal weight, overweight and obesity

Parra CA, Pérez-Lizaur AB
Full text How to cite this article

Language: Spanish
References: 6
Page: 63-66
PDF size: 358.21 Kb.


Key words:

Indirect calorimetry, basal metabolic rate, predictive equations.

ABSTRACT

To learn about the best use of the equations for prediction of basal energy expenditure, we compared the results of indirect calorimetry studies (IC) with 4 equations of common use in clinical practice: Harris Benedict (HB), Mifflin-St. Jeor (MSJ), FAO/WHO and Institute of Medicine (IOM) in 150 adult women who attended nutritional assessment in a University nutrition clinic. We divided into 3 equal groups by category of weight according to the body mass index (normal weight, overweight and obesity). The indirect calorimetry was made according to the recommended protocol. The results show a significant correlation between the 4 predictive equations of basal energy expenditure and indirect calorimetry; however, the equation of Institute of Medicine obtained a higher value in the correlation with CI values in the 3 groups of weight categories studied.


REFERENCES

  1. Lee RD, Nieman DC. Nutritional assessment. 5th ed. USA, New York: McGraw-Hill; 2010.

  2. World Health Organization. Energy and protein requirements. Report of a joint FAO/WHO/UNU expert consultation. WHO Technical Report Series 724. Geneva: Switzerland: World Health Organization: Nieman, DC; 2003.

  3. Institute of Medicine. Dietary Reference Intakes. Washington DC: The National Academies Press; 2005.

  4. Harris JA, Benedict FG. A biometric study of basal metabolism in man. Washington DC: Carnegie Institution of Washington; 1919. Publication 279.

  5. 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: 241-247.

  6. 6. Johnson RE. Techniques for measuring gas exchange. In: Kinney JM. Assessment of energy metabolism in health and disease. Columbus Ross Laboratories; 1980: 32-62.




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Rev Endocrinol Nutr. 2012;20