Acta Scientific Orthopaedics (ISSN: 2581-8635)

Research Article Volume 4 Issue 10

Healthy Adults’ Basal Metabolic Rate Comparison Measured with Indirect Calorimetry Versus Predictive Formulas

Dulce María Segalés Gill*

Exercise Physiology, Ciencia y Deporte, Asuncion, Paraguay

*Corresponding Author: Dulce María Segalés Gill, Exercise Physiology, Ciencia y Deporte, Asuncion, Paraguay.

Received: August 28, 2021; Published: September 16, 2021

Abstract

Introduction: The total daily energy expenditure is composed of the basal metabolic rate (BMR), the thermic effect of food (TEF) and the energy expenditure during physical activity, the latter being subdivided into the energy used specifically in exercise training and energy in activities not associated with exercise. BMR is understood as the "cost of living", that is, the energy cost of keeping all physiological processes active, cognitive alertness and sets the stage for all life activities. It comprises the caloric expenditure at rest and occupies approximately 2/3 of the total daily caloric expenditure. BMR varies between subjects and is proportional to weight, particularly muscle mass, body composition and energy imbalance.

Objective: To compare the basal metabolic rate of healthy adults, recreational athletes by indirect calorimetry and predictive formulas.

Methods: Non-experimental design study, with a quantitative approach, correlational scope with the objective of group comparison. 76 people with normal weight and overweight according to BMI were evaluated with indirect calorimetry.

Results: Significant differences were found when comparing the basal metabolic rate of recreational athletes by indirect calorimetry and predictive formulas proposed by Owen, Mifflin and Schofield, whereas no significant differences were found when comparing with the Harris-Benedict predictive formula.

Keywords: Metabolism; Calorimetry; Energy; Cost; Formula

References

  1. Speakman JR and Selman C. “Physical activity and resting metabolic rate”. Proceedings of the Nutrition Society 62 (2003): 621-634.
  2. Zampino M., et al. “Longitudinal Changes in Resting Metabolic Rates with Aging Are Accelerated by Diseases”. Nutrients 12 (2020): 1-14.
  3. Ainsworth BE., et al. “Compendium of physical activities: An update of activity codes and MET intensities”. Medicine and Science in Sports and Exercise9 (2000): 498-516.
  4. Hall KD., et al. “Energy balance and its components: Implications for body weight regulation”. American Journal of Clinical Nutrition 95 (2012): 989-994.
  5. Henry C. “Basal metabolic rate studies in humans: measurement and development of new equations”. Public Health Nutrition 8 (2005): 1133-1152.
  6. Harris JA and Benedict FG. “A Biometric Study of Human Basal Metabolism”. Proceedings of the National Academy of Sciences 4 (1918): 370-373.
  7. Mifflin MD., et al. “A new predictive equation for resting energy expenditure in healthy individuals”. American Journal of Clinical Nutrition 51 (1990): 241-247.
  8. Lee RD and Nieman DC. “Nutritional Assessment”. (N. Y. McGraw-Hill (edition)) (2010).
  9. Lee and Kim EK. “Accuracy of Predictive Equations for Resting Metabolic Rates and Daily Energy Expenditures of Police Officials Doing Shift Work by Type of Work”. Clinical Nutrition Research 1 (2012): 66-77.
  10. Parra Carriedo A and Pérez-Lizaur AB. “Comparación de la estimación del gasto energético basal por cuatro ecuaciones versus calorimetría indirecta en mujeres con peso normal, sobrepeso y obesidad”. Revista de Endocrinología y Nutrición 20 (2012): 63-66.
  11. Ruiz M and Rodríguez A. “Comparación de tasa metabólica en reposo medida por calorimetría indirecta versus ecuaciones predictivas, en mujeres adultas jovenes y adultas mayores de peso corporal normal”. Revista Chilena de Nutricion 41 (2014): 17-22.
  12. Brunetto BC., et al. “Taxa metabólica basal em universitários: comparação entre valores medidos e preditos”. Revista de Nutricao 23 (2010): 369-377.
  13. Reneau J., et al. “Do we need race-specific resting metabolic rate prediction equations?” Nutrition and Diabetes 9 (2019): 1-8.

Citation

Citation: Dulce María Segalés Gill. “Healthy Adults’ Basal Metabolic Rate Comparison Measured with Indirect Calorimetry Versus Predictive Formulas".Acta Scientific Orthopaedics 4.10 (2021): 25-29.

Copyright

Copyright: © 2021 Dulce María Segalés Gill. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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