Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea

• Published in: Archives of Endocrinology and Metabolism 2017-05, Vol.61 (3), p.257-262
• Main Authors: del Re, Mariana Pantaleão, Melo, Camila Maria de, Santos, Marcus Vinicius dos, Tufik, Sergio, Mello, Marco Túlio de
• Format: Article
• Language: English
• Subjects: energy expenditure; Obesity; obstructive sleep apnea; predictive equations; resting energy expenditure
• ISSN: 2359-3997; 2359-4292; 2359-3997; 2359-4292
• DOI: 10.1590/2359-3997000000228

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.