title: Effectiveness of prediction equations in estimating energy expenditure sample of Brazilian and Spanish women with excess body weight.
abstract: OBJECTIVE
  To assess the adequacy of predictive equations for estimation of energy expenditure (EE), compared with the EE using indirect calorimetry in a sample of Brazilian and Spanish women with excess body weight.
  
  
  METHODS
  It is a cross-sectional study with 92 obese adult women [26 Brazilian -G1- and 66 Spanish - G2- (aged 20-50)]. Weight and height were evaluated during fasting for the calculation of body mass index and predictive equations. EE was evaluated using the open-circuit indirect calorimetry with respiratory hood.
  
  
  RESULTS
  In G1 and G2, it was found that the estimates obtained by Harris-Benedict, Shofield, FAO/WHO/ ONU and Henry & Rees did not differ from EE using indirect calorimetry, which presented higher values than the equations proposed by Owen, Mifflin-St Jeor and Oxford. For G1 and G2 the predictive equation closest to the value obtained by the indirect calorimetry was the FAO/WHO/ONU (7.9% and 0.46% underestimation, respectively), followed by Harris-Benedict (8.6% and 1.5% underestimation, respectively).
  
  
  CONCLUSIONS
  The equations proposed by FAO/WHO/ ONU, Harris-Benedict, Shofield and Henry & Rees were adequate to estimate the EE in a sample of Brazilian and Spanish women with excess body weight. The other equations underestimated the EE.
authors.affiliation: Departamento de Nutrição e Dietética. Universidade Federal do Rio de Janeiro. Rio de Janeiro. Brasil (responsible for creating the concept and design of the study; generation, collection, assembly, analysis and interpretation of the data; and revision and approval of the final version of the manuscript).. elianerosado@nutricao.ufrj.br.
authors.forename: Eliane
authors.initials: E
authors.lastname: Lopes Rosado
authors.affiliation: Departamento de Nutrição e Dietética. Universidade Federal do Rio de Janeiro. Rio de Janeiro. Brasil (responsible for creating the concept and design of the study; generation, collection, assembly, analysis and interpretation of the data; and revision and approval of the final version of the manuscript)..
authors.forename: Roberta
authors.initials: R
authors.lastname: Santiago de Brito
authors.affiliation: Departamento de Nutrição e Saúde. Universidade Federal de Viçosa. Viçosa. Brasil (responsible for creating the concept of the study; analysis and interpretation of the data; and revision and approval of the final version of the manuscript)..
authors.forename: Josefina
authors.initials: J
authors.lastname: Bressan
authors.affiliation: Nutrition. Food Science. Physiology and Toxicology. University of Navarra (UNAV) (responsible for the design of the study and the revision and approval of the final version of the manuscript). CIBERobn. Fisiopatología de la Obesidad. Instituto Carlos III. Madrid. Spain..
authors.forename: José Alfredo
authors.initials: JA
authors.lastname: Martínez Hernández
mesh_terms: D000328:Adult; D000465:Algorithms; D001938:Brazil; D003430:Cross-Sectional Studies; D004734:Energy Metabolism; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000503:physiopathology*; D050177:Overweight / Q000503:physiopathology*; D011237:Predictive Value of Tests; D013030:Spain; D055815:Young Adult