Your browser doesn't support javascript.
loading
Agreement between equations-estimated resting metabolic rate and indirect calorimetry-estimated resting metabolic rate in low-income obese women.
Pureza, Isabele Rejane de Oliveira Maranhão; Macena, Mateus Lima; Silva Junior, André Eduardo; Praxedes, Dafiny Rordrigues Silva; Vasconcelos, Lais Gomes Lessa; Florêncio, Telma Maria Menezes Toledo; Bueno, Nassib Bezerra.
Afiliação
  • Pureza IROM; Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, Brasil.
  • Macena ML; Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, Brasil.
  • Silva Junior AE; Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, Brasil.
  • Praxedes DRS; Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, Brasil.
  • Vasconcelos LGL; Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, Brasil.
  • Florêncio TMMT; Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, Brasil.
  • Bueno NB; Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, Brasil.
Arch Endocrinol Metab ; 64(4): 402-411, 2020 Aug.
Article em En | MEDLINE | ID: mdl-32267354
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metabolismo Basal / Obesidade Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Limite: Adult / Female / Humans Idioma: En Revista: Arch Endocrinol Metab Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metabolismo Basal / Obesidade Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Limite: Adult / Female / Humans Idioma: En Revista: Arch Endocrinol Metab Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil