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

Arch Endocrinol Metab. 2017 May-Jun;61(3):257-262. doi: 10.1590/2359-3997000000228. Epub 2016 Nov 24.

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.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Algorithms*
  • Analysis of Variance
  • Anthropometry
  • Body Composition / physiology
  • Calorimetry, Indirect / methods
  • Energy Metabolism / physiology*
  • Humans
  • Male
  • Middle Aged
  • Obesity / metabolism*
  • Obesity / physiopathology*
  • Polysomnography
  • Predictive Value of Tests
  • Reference Values
  • Reproducibility of Results
  • Rest / physiology*
  • Severity of Illness Index
  • Sleep Apnea, Obstructive / metabolism*
  • Sleep Apnea, Obstructive / physiopathology*
  • Time Factors