Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea
Arch. endocrinol. metab. (Online); 61 (3), 2017
Publication year: 2017
ABSTRACT Objective To investigate the applicability of predictive equations for resting energy expenditure (REE) in obese individuals with obstructive sleep apnea (OSA) and the effects of OSA severity on REE. Materials and methods Twenty-nine obese men, 41.5 ± 7 years old, with moderate and severe OSA were recruited. All subjects were submitted to a clinical polysomnography, body composition, and indirect calorimetry measurements.
REE was also predicted by three different equations:
Harris and Benedict (1919), Cunningham (1990), and DRI (2002). Results No effects of OSA severity on REE were found. The measured REE (2416.0 ± 447.1 kcal/day) and the REE predicted by equations were different from each other (F = 2713.88; p < 0.05): Harris and Benedict (2128.0 ± 245.8 kcal/day), Cunningham (1789.1 ± 167.8 kcal/day) and DRI (2011.1 ± 181.4 kcal/day). Pearson correlations showed a moderate positive correlation between the REE measured and predicted by all equations. Conclusion Our findings suggest that predictive equations for REE underestimate the energy expenditure in obese patients with sleep apnea. Also, no effects of OSA severity on REE were found.
Algoritmos, Análisis de Varianza, Antropometría, Composición Corporal/fisiología, Calorimetría Indirecta/métodos, Metabolismo Energético/fisiología, Obesidad/metabolismo, Obesidad/fisiopatología, Polisomnografía, Valor Predictivo de las Pruebas, Valores de Referencia, Reproducibilidad de los Resultados, Descanso/fisiología, Índice de Severidad de la Enfermedad, Apnea Obstructiva del Sueño/metabolismo, Apnea Obstructiva del Sueño/fisiopatología, Factores de Tiempo