Agreement between equations-estimated resting metabolic rate and indirect calorimetry-estimated resting metabolic rate in low-income obese women
Arch. endocrinol. metab. (Online)
;
64(4): 402-411, July-Aug. 2020. tab, graf
Artigo
em Inglês
| LILACS
| ID: biblio-1131112
ABSTRACT
ABSTRACT Objectives Indirect calorimetry is established as a gold standard to determine the resting metabolic rate (RMR), however, its clinical use is limited, especially in low-income settings. Thus, the use of predictive equations appear as an alternative to estimate the RMR, but its precision is debatable, especially in obese individuals and in populations without specifically developed equations. To evaluate the agreement between the RMR estimated by equations and by indirect calorimetry in low-income obese women. Subjects and methods A cross-sectional study with adult and obese women, which estimated the RMR by indirect calorimetry and compared with 13 predictive equations using the concordance correlation coefficient, root mean square error (RMSE) and Bland-Altman methods. The maximum allowed differences were predefined as 10%. Results No equation presented its confidence intervals for the Bland-Altman limits of agreement inside the predefined acceptable range. The Harris-Benedict equation achieved better agreement (bias of 2.9% and RMSE of 274.3kcal) whereas the Henry-Rees equation achieved better precision (42.3% of the sample within the 10% maximum allowed difference). Conclusion None of the studied equations satisfactorily estimated the RMR estimated by indirect calorimetry. In the absence of specific equations for this population, the use of the Harris-Benedict and Henry-Rees equations could be considered.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Metabolismo Basal
/
Obesidade
Tipo de estudo:
Estudo observacional
/
Estudo de prevalência
/
Fatores de risco
Limite:
Adulto
/
Feminino
/
Humanos
Idioma:
Inglês
Revista:
Arch. endocrinol. metab. (Online)
Assunto da revista:
Endocrinologia
/
Metabolismo
Ano de publicação:
2020
Tipo de documento:
Artigo
País de afiliação:
Brasil
Instituição/País de afiliação:
Universidade Federal de Alagoas/BR
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