Comparison between equations for estimation of resting energy expenditure and indirect calorimetry in gymnasts
Abstract
Aim: to compare equations for estimating resting energy expenditure with values obtained by indirect calorimetry from rhythmic and artistic gymnasts. Methods: cross-sectional study with a convenience sample of 11 female gymnasts of a sports club in Porto Alegre, Brazil, that were evaluated about body fat percent, resting energy expenditure obtained by indirect calorimetry and by predictive equations of Harris-Benedict, Henry & Rees, FAO/WHO, Schofield, Katch & McArdle and the Institute of Medicine. Results: all athletes had healthy body fat percentages and none of the equations tested was correlated with the results of indirect calorimetry, especially not when resting energy expenditure according to indirect calorimetry was greater than 1400 calories. The Harris-Benedict equation differed the least from indirect calorimetry among all tested equations. resting energy expenditure by indirect calorimetry did not correlate to body composition, age, time since menarche or training. Conclusions: based on obtained data the predictive equations studied for estimating resting energy expenditure were not similar to the indirect calorimetry results, although the Harris-Benedict equation exhibited the smallest difference. Further studies are needed to elucidate this findings.
References
-Cruz, S. M.; Silleras, B.M.; Martín, M. A. C.; Enciso, L. C.; Torre, A. M.; Galgani, J. E.; Redondo del Río M. P. Agreement between indirect calorimetry and predictive equations in a sample of spanishhealthy adults. Nutr Hosp. Vol. 32. Núm. 2. p. 888-896. 2015.
-FAO/WHO/UNU. Energy and protein requirements. Geneva. SWI. 1985.
-Frutuoso, A. S.; Diefenthaeler, F.; Vaz, M. A.; Freitas, C. L. Lower athletes limb asymmetries in rhythmic gymnastics. IntJ Sports Phys Ther. Vol. 11. Núm. 1. p. 34-43. 2016.
-Fullmer, S.; Benson-Davies, S.; Earthman, C. P.; Frankenfield, D. C.; Gradwell, E.; Lee, P. S.; Piemonte, T.; Trabulsi, J. Evidence analysis library review of best practices for performing indirect calorimetry in healthy and non-critically ill individuals. J Acad Nutr Diet. Vol. 115. p. 1417-1446. 2015.
-Galetta, F.; Franzoni, F.; D'alessandro, C.; Piazza, M.; Tocchini, L.; Fallahi, P.; Antonelli, A.; Cupisti, F.; Santoro, G. Body composition and cardiac dimensions in elite rhythmic gymnasts. J Sports Med Phys Fitness. Vol. 55. Núm. 9. p. 946-952. 2015.
-Georgopoulos, N. A.; Theodoropoulou, A.; Roupas, N. A.; Rottstein, L.; Tsekouras, A.; Mylonas. P.; Vagenakis, G. A.; Koukkou, E.; Arameni, A. K.; Sakellaropoulos, G.; Leglise, M.; Vagenakis, A. G.; Markou, K. B. Growth velocity and final height in elite female rhythmic and artistic gymnasts. Hormones (Athens). Vol. 11. Núm. 1. p. 61-69. 2012.
-Harris, J. A.; Benedict, F. G. A biometric study of human basal metabolism. Proc Natl Acad Sci USA. Vol. 4. p. 370-373. 1918.
-Henry, C. J. K.; Rees, D. G. New predictive equations for the estimation of basal metabolic rate in tropical peoples. Eur J Clin Nutr. Vol. 45. Núm. 4. p. 177-185. 1991.
-Hind, K.; Gannon, L.; Whatley, E.; Cooke, C.; Truscott, J. Bone cross-sectional geometry in male runners, gymnasts, swimmers and non-athletic controls: a hip-structural analysis study. Eur J Appl Physiol. Vol. 112. Núm. 2. p. 535-541. 2012.
-Institute of Medicine (IOM). Food and Nutrition Board. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids (macronutrients). National Academy Press. Washington (DC). 2005.
-Jackson, A. S.; Pollock, M. L.; Ward, A. Generalized equations for predicting body density of women. Med Sci Sports Exerc. Vol. 12. Núm. 3. p. 175-181. 1980.
-Malina, R. M.; Baxter-Jones, A. D.; Armstrong, N.; Beunen, G.P.; Caine, D.; Daly, R. M.; Lewis, R. D.; Rogol, A. D.; Russell, K. Role of intensive training in the growth and maturation of artistic gymnasts. Sports Med. Vol. 43. Núm. 9. p. 783-802. 2013.
-McArdle, W.; Katch, F.; Katch, V. Exercise Physiology: energy, nutrition and human performance. 4th ed. Baltimore: Lippincott Williams and Wilkins, 1996.
-Müller, M. J.; Enderle, J.; Pourhassan, M.; Braun, W.; Eggeling, B.; Lagerpusch, M.; Glüer, C. C.; Kehayias, J. J.; Kiosz, D.; Bosy-Westphal, A. Metabolic adaptation to caloric restriction and subsequent refeeding: the Minnesota Starvation Experiment revisited. Am J Clin Nutr. Vol. 102. Núm. 4. p.807-819. 2015.
-Oliveira, E. P.; Orsatti, F. L.; Teixeira, O.; Maestá, N.; Burini, R.C. Comparison of predictive equations for resting energy expenditure in overweight and obese adults. J Obes. 2011.
-Paoli, A.; Grimaldi, K.; D'Agostino, D.; Cenci, L.; Moro, T.; Bianco, A.; Palma, A. Ketogenic diet does not affect strength performance in elite artistic gymnasts. J Int Soc Sports Nutr. Vol. 9. Núm. 1. 2012.
-Psota, T.; Chen, K. Y. Measuring energy expenditure in clinical populations: rewards and challenges. Eur J Clin Nutr. Vol. 67. Núm. 5. p. 436-442. 2013.
-Schofield, W. N. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr. Vol. 39. Núm. Suppl 1. p. 5-41. 1985.
-Silva, M. R. Paiva, T. Poor precompetitive sleep habits, nutrients' deficiencies, inappropriate body composition and athletic performance in elite gymnasts. Eur J Sport Sci. Vol. 16. Núm. 6. p. 726-735. 2016.
-Siri, W. E. Body composition from fluid spaces and density: analysis of methods. Nutrition. Vol. 9. p. 480-491. 1993.
-Slaughter, M. H.; Lohman, T. G.; Boileau, R. A.; Horswill, C. A.; Stillman, R. J.; Van Loan, M. D.; Bemben, D. A. Skinfold equations for estimation of body fatness in children and youth. Hum Biol. Vol. 60. Núm. 5. p. 709-723. 1988.
-Smith-Ryan, A. E.; Fultz, S. N.; Melvin, M. N.; Wingfield, H. L.; Woessner, M. N. Reproducibility and validity of A-mode ultrasound for body composition measurement and classification in overweight and obese men and women. PLoS One. Vol. 9. Núm. 3. 2014.
-Taguchi, M.; Ishikawa-Takata, K.; Tatsuta, W.; Katsuragi, C.; Usui, C.; Sakamoto, S.; Higuchi, M. Resting energy expenditure can be assessed by fat-free mass in femalie athletes regardless of body size. J Nutr Sci Vitaminol (Tokyo). Vol. 57. Núm. 1. p. 22-29. 2011.
-Trexler, E. T.; Smith-Ryan, A. E.; Roelofs, E. J.; Hirsch, K. R. Body Composition, Muscle Quality and Scoliosis in Female Collegiate Gymnasts: A Pilot Study. Int J Sports Med. Vol. 36. Núm. 13. p. 1087-1092. 2015.
-Wilmore, J. H.; Costill, D. L. Physiologyof sport and exercise. Champaign, IL:Human Kinetics, 1994.
-Yao, E.; Buchholz, A. C.; Edwards, A. M.; Simpson, J. A. Predicted and measured resting metabolic rate in young, non-obese women. Can J Diet Pract Res. Vol. 74. Núm. 3. p. 124-130. 2013.
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