2020, Number 2
Next >>
Rev Salud Publica Nutr 2020; 19 (2)
Comparison of 3 equations to estimate the energy expenditure at resting vs indirect calorimetry in schoolchildren with obesity
Ramírez RB, Balderas DD, Sánchez PMA, Márquez ZL, Ramírez LE, López-Cabanillas LM, Solís PE
Language: Spanish
References: 16
Page: 1-8
PDF size: 334.26 Kb.
ABSTRACT
Introduction: The energy expenditure at rest (GER) is a determined by indirect calorimetry, or by prediction equations.
Objective: To estimate the energy expenditure at resting by prediction equations compared with indirect calorimetry in
schoolchildren with obesity.
Material and method: Comparative, descriptive and cross sectional study with prior informed
consent to schoolchildren between 7 and 12 years of age with obesity (›2 D.E. WHO 2007). Under previous fasting and resting
for 12 hours, an indirect calorimetry study was performed with the Quark RMR
® equipment. The prediction equations to
estimate energy expenditure were Schofield, Tverskaya and Lazzer. Statistical analysis was performed with MedCalc
® V13.3
software.
Results: 41 schoolchildren, 59% (n=24) female gender and 41% (n=17) male with an average age of 9.0 + 2.0 years.
When comparing energy expenditure, the average of the differences was 232 kcal, 89 kcal and 252 kcal respectively; the
equivalence between groups being significant for the predictive equation of Schofield (p=‹0.0001), Tverskaya (p=‹0.0028) and
Lazzer (p=‹0.0001).
Conclusions: To determine the GER in the obese child population, the best tool is indirect calorimetry,
since in group terms the three prediction equations significantly overestimate the energy expenditure.
REFERENCES
Balas-Nakash M., Villanueva-Quintana a., Vadillo- Ortega F., et al. (2008). Validación del uso de fórmulas para estimar el gasto energético en reposo en niños mexicanos de 9 a 12 años de edad con y sin obesidad. Revista de Investigación Clínica. 60(5), 395-402. https://biblat.unam.mx/en/revista/revista-deinvestigacion- clinica
Becerril-Sánchez ME, Flores-Reyes M, Ramos- Ibáñez N, Ortiz-Hernández L. (2015) Ecuaciones de predicción del gasto de energía en reposo en escolares de la Ciudad de México. Acta Pediatr Mex; 36, 147-157. http://www.scielo.org.mx/scielo.php?script=sci_ arttext&pid=S0186-23912015000300003
De la Cruz MS, de Mateo Silleras B, Alicia Camina Martin M, Enciso L, de la Torre A, Paz Redondo del Rio M, et al., (2015). Concordancia entre calorimetría indirecta y modelos predictivos en una población sana española. Nutr Hosp. 32(2): 888-896. DOI: 10.3305/nh.2015.32.2.9162
Derumeaux-Burel Hélène, Meyer Martine, Morin Liliane., et al. (2004). Prediction of resting energy expenditure in a large population of obese children. Am J Clin Nutr; 80:1544–50. DOI: 10.1093/ajcn/80.6.1544
Hernández-Ortega A, Osuna Padilla IA, Rendón- Rodríguez R, Narváez-Velázquez PB, Chávez- González MJ, Estrada-Velasco BI. (2019) Exactitud de las ecuaciones predictivas del gasto energético basal: estudio transversal en niños y adolescentes con sobrepeso y obesidad de Morelos, México. Rev Esp Nutr Hum Diet. 23(2). DOI: 10.14306/renhyd.23.2.706.
Lazzer Stefano, Agosti Fiorenza, De Col Alessandra, et al., (2006) Development and cross-validation of prediction equations for estimating resting energy expenditure in severely obese Caucasian children and adolescents. British Journal of Nutrition; 96; 973-979. DOI: 10.1017/BJN20061941
Lazzer S, Agosti F, De Col A., et al. (2007). Comparison of predictive equations for resting energy expenditure in severely obese Caucasian children and adolescents. J Endocrinol Invest.; 30(4): 313-7. DOI: 10.1007/BF03346298
Marra Maurizio, Montagnese Concetta, Sammarco Rosa., et al. (2015). Accuracy of Predictive Equations for Estimating Resting Energy Expenditure in Obese Adolescents. The Journal of pediatrics, J Pediatr; 166:1390-6. DOI: 10.1016/j.jpeds.2015.03.013
Marugán de Miguelsanz J.M., Redondo Del Río P., De Mateo Silleras B. (2011). Balance energético en el niño. Pediatr Integral; XV (4):369-373. https://www.pediatriaintegral.es/wpcontent/ uploads/2012/03/Pediatria-Integral-XV- 4.pdf.
McDuffie JR., Adler-Wailes D., Elberg J., et al. (2004). Prediction equations for resting energy expenditure in overweight and normal-weight black and White children. Am J Clin Nutr; 80: 365-73. DOI: 10.1093/ajcn/80.2.365.
Rodríguez G, Moreno LA, Sarria A, Pineda I, Fleta J, Pérez-González JM, et al. (2002). Determinants of resting energy expenditure in obese and non-obese children and adolescents. J Physiol Biochem, 58(1): 9-15.
Shamah T., (2018). Sobrepeso y obesidad en niños y adolescentes en México, actualización de la Encuesta Nacional de Salud y Nutrición de Medio Camino 2016. Salud Pública Mex, 60(3):244-256. DOI: 10.21149/8815
Schofield WN. (1985). Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr. 39; Suppl 1:5-41.
Stubelj M, Teraž K, Poklar Vatovec T. (2020). Predicting equations and resting energy expenditure changes in overweight adults. Zdr Varst.; 59(1):33-41. DOI: 10.2478/sjph-2020- 0005
Tverskaya R, Rising R, Brown D, et al. (1998). Comparison of several equations and derivation of a new equation for calculating basal metabolic rate in obese children. J Am Coll Nutr. 17(4):333- 6 15.
Vermorel M, Lazzer S, Bitar A, Ribeyre J, Montaurier C, Fellamn N, et al. (2005) Contributing factors and variability of energy expenditure in nonobese, obese and postobese adolescents. Reprod Nutr Dev; 45(2): 129-42. DOI: 10.1051/rnd:2005014