Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea.
Arch Endocrinol Metab
; 61(3): 257-262, 2017.
Article
em En
| MEDLINE
| ID: mdl-27901185
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 ANDMETHODS:
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Descanso
/
Algoritmos
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Apneia Obstrutiva do Sono
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Metabolismo Energético
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Obesidade
Tipo de estudo:
Health_economic_evaluation
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article