title: Predictive equations overestimate the resting metabolic rate in postmenopausal women.
abstract: The resting energetic dispenses on postmenopausal stage should be well known in order to elaborate obesity prevention programs.
  
  
  OBJECTIVE
  The aim of this study was to compare the resting metabolic rate (RMR) measured by indirect calorimetry (RMRmeasured) with predictive equations (RMRestimated) and verify which preexisting equation is more indicated for this population, in inactive, postmenopausal women.
  
  
  METHODS
  43 postmenopausal women volunteered for the present study.
  
  
  METHODS
  RMRestimated value was achieved by indirect calorimetry. The predictive equations used were: Harris-Benedict equation (HB), Henry e Ree (HR), Mifflin-St Jeor equation (MSJ), World Health Organization equation (WHO) and Female Brazilian Population (FBP). Body composition was obtained through skinfolds method.
  
  
  RESULTS
  All equations showed significant difference values for kcal/day (p<0.00001) (HB 1313.07±73.46; HR 1310.95±81.41; MSJ 1207.93±93.17; WHO 1375.73±61.01 and FBP 1250.05±73.54 kcal/day) in relation to RMRestimated (1063.79±157.82). The WHO equation was the one which most overestimated the RMR values with a difference of more than 300 kcal/day.
  
  
  CONCLUSIONS
  None of the equations to approach, in this study showed precision in the estimative of RMR, all prediction equations overestimated RMR values in Brazilians' postmenopausal women, although the MSJ predictive equation showed the greater approximation of RMRmeasured for this population.
authors: Curtin Exercise Physiology Laboratory (FISEX), School of Physical Education, University of Campinas (UNICAMP).
authors: V
authors: V
authors: Bonganha
authors: C A
authors: CA
authors: Libardi
authors: C F
authors: CF
authors: Santos
authors: G V
authors: GV
authors: De Souza
authors: M S
authors: MS
authors: Conceição
authors: M P T
authors: MP
authors: Chacon-Mikahil
authors: V A
authors: VA
authors: Madruga
mesh_terms: D000886:Anthropometry; D001481:Basal Metabolism; D001823:Body Composition; D001938:Brazil; D002153:Calorimetry, Indirect / Q000379:methods; D005260:Female; D006801:Humans; D008875:Middle Aged; D009765:Obesity / Q000517:prevention & control; D017698:Postmenopause / Q000502:physiology*; D011237:Predictive Value of Tests