title: [Resting energy expenditure measured vs. estimated and this relationship with body composition in women].
abstract: OBJECTIVE
  To compare the resting energy expenditure (REE, kcal/d) measured to the disposable equation of literature and to associate this to body composition.
  
  
  METHODS
  Twenty-eight sedentary women were volunteers [weight: 79 +/- 12 kg; stature: 164 +/- 5 cm; age: 36 +/- 11 years; body mass index (BMI, kg/m(2)): 29 +/- 4]. The body composition was estimated with anthropometry methods; REE was measured by indirect calorimetry and was estimated by the main equations of the literature. Equations were developed to estimate REE and the best of them was REE-Our.
  
  
  RESULTS
  The different time of harvest produced a similar result to REE measured. The Harris and Benedict, FAO/WHO/UNO only weight, and weight plus height, Schofield and REE-Our equations results were statistically similar to REE measured. The Siervo and Falconi, Schofield and Henry and Rees equations did not have correlation with the measured calorimetry. The best-isolated predictor of the REE was the body mass and the best association when adjusted to unit (kg) was lean body mass. The equation developed in the present work was: REE(kcal/d)= 21837 - 14,448 * Weight(kg) + 54,963 * Lean Mass(kg)--9,341 * Stature(cm)--4,349 * Age(years)--19753 * Body Density(g/ml).
  
  
  CONCLUSIONS
  The REE prediction equations can prompt to errors and seem to be population specific. The best prediction result was with the equation developed with anthropometrics variables of the volunteers (measured= 1617 +/- 237 kcal/d; REE-Our= 1616 +/- 167 kcal/d).
authors.affiliation: Faculdade de Educação Física, Universidade Federal de Mato Grosso, Cuiabá, MT. cafett@hotmail.com
authors.forename: Carlos A
authors.initials: CA
authors.lastname: Fett
authors.forename: Waléria C R
authors.initials: WC
authors.lastname: Fett
authors.forename: Julio S
authors.initials: JS
authors.lastname: Marchini
mesh_terms: D000293:Adolescent; D000328:Adult; D000704:Analysis of Variance; D000886:Anthropometry; D001481:Basal Metabolism / Q000502:physiology*; D001823:Body Composition / Q000502:physiology*; D001827:Body Height; D015992:Body Mass Index; D001835:Body Weight; D002153:Calorimetry, Indirect; D004734:Energy Metabolism / Q000502:physiology*; D005260:Female; D006801:Humans; D016014:Linear Models; D008875:Middle Aged; D011237:Predictive Value of Tests; D012146:Rest / Q000502:physiology*