P840 - DEVELOPMENT AND VALIDATION OF NEW PREDICTIVE EQUATION FOR RESTING ENERGY EXPENDITURE IN CHILDREN AND ADOLESCENTS WITH OBESITY

P840

DEVELOPMENT AND VALIDATION OF NEW PREDICTIVE EQUATION FOR RESTING ENERGY EXPENDITURE IN CHILDREN AND ADOLESCENTS WITH OBESITY

A. Domínguez-Barbosa^1,*, D. P. Reyes-Romo¹, M. Salvador-Quezada¹, D. López-González², A. E. Serralde Zúñiga³, S. N. Becerra-Morales¹, M. Guevara-Cruz⁴, I. D. J. Medina-Vera¹

¹Metodología de la Investigación, Instituto Nacional de Pediatria, ²Unidad de Investigación en Epidemiología Clínica, Hospital Infantil de México Federico Gómez, ³Coordinación del Servicio de Nutriología Clínica, ⁴Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico

Rationale: Accurate predictive equations of resting energy expenditure are crucial in devising nutritional strategies to fight childhood and adolescent obesity, especially in countries where is highly prevalent. The aim of this study is to design and validate an equation for estimating resting energy expenditure (REE) in pediatric population with obesity based on anthropometric predictive variables.

Methods: Children and adolescents with obesity aged >6 and <18 years old, participated in this cross-sectional study. Participants were randomly assigned to the development or validation groups and underwent a clinical and nutritional assessment with anthropometric measurements and a bioelectrical impedance analysis. Quadriceps femoral muscle and thigh adipose tissue thicknesses were measured with ultrasound; thus, urinary nitrogen was measured in 24-h urine collection. REE was measured with indirect calorimetry (Q-NRG®, COSMED, Rome, Italy) after an 8-hour fasting period.

Results: From our study population, 54.3% were male and 45.7% female; children 71.6% and adolescents 28.4%. Two predictive equations were developed in this study, the first including extracellular water, waist circumference, thigh circumference, quadriceps femoral muscle and thigh adipose tissue thicknesses, and the sum of tricipital and subscapular skinfolds variables in the model (R = 0.907, p < 0.05). The second, including weight, the sum of tricipital and subscapular skinfolds, waist circumference and body mass index variables in the model (R = 0.877, p < 0.001).

Conclusion: The present equations had the highest predictive accuracy in pediatric subjects with obesity compared with other preexisting equations for this population. Also, when bioelectrical impedance analysis is not available, the present alternative simplified equation demonstrated a strong accuracy in the prediction of REE.

Disclosure of Interest: None declared