Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea
Arch. endocrinol. metab. (Online)
;
61(3): 257-262, May-June 2017. tab, graf
Artigo
em Inglês
| LILACS
| ID: biblio-887559
ABSTRACT
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.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Descanso
/
Algoritmos
/
Apneia Obstrutiva do Sono
/
Metabolismo Energético
/
Obesidade
Tipo de estudo:
Avaliação Econômica em Saúde
/
Estudo prognóstico
/
Fatores de risco
Limite:
Adulto
/
Humanos
/
Masculino
Idioma:
Inglês
Revista:
Arch. endocrinol. metab. (Online)
Assunto da revista:
Endocrinologia
/
Metabolismo
Ano de publicação:
2017
Tipo de documento:
Artigo
País de afiliação:
Brasil
Instituição/País de afiliação:
Universidade Federal de São Paulo/BR
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