title: Predicted and measured resting metabolic rate in young, non-obese women.
abstract: OBJECTIVE
  Measured resting metabolic rate (RMR) was compared with predicted RMR in a sample of young, non-obese women.
  
  
  METHODS
  In 52 women aged 19 to 30 with a body mass index of 16 to 29 kg/m2, RMR was measured with a MedGem indirect calorimeter and predicted with five commonly used equations: the Harris-Benedict (1919), Mifflin (1989), Owen (1985), Schofield (weight) (1985), and Schofield (weight and height) (1985) equations. Measured RMR and predicted RMR were compared through the use of various measures.
  
  
  RESULTS
  In comparison with the measured RMR, the RMR predicted with four of the five equations was significantly higher (by 16 to 225 kcal/day, p < 0.001). At the group level, the Owen equation performed best and captured the greatest proportion of individuals (65%) for whom predicted RMR differed from measured RMR by less than 10%. With the other four equations, residuals exceeded 10% for more than two-thirds of participants. For the Harris-Benedict, Mifflin, and Owen equations, every 100 kcal/day increase in measured RMR was associated with a 6% to 8% decrease in error. The optimal prediction range (within 10% of the measured RMR) was different for each: Owen equation 1105 to 1400 kcal/day, Mifflin equation 1280 to 1595 kcal/day, and Harris-Benedict equation 1345 to 1630 kcal/day.
  
  
  CONCLUSIONS
  Prediction equations should be modified according to the amount of corresponding percentage error. Where possible, RMR should be measured. Barring this, the Owen equation should be used for young, non-obese women.
authors.affiliation: University of Guelph.
authors.forename: Elaine
authors.initials: E
authors.lastname: Yao
authors.forename: Andrea C
authors.initials: AC
authors.lastname: Buchholz
authors.forename: A Michelle
authors.initials: AM
authors.lastname: Edwards
authors.forename: Janis A Randall
authors.initials: JA
authors.lastname: Simpson
mesh_terms: D000328:Adult; D001481:Basal Metabolism / Q000502:physiology*; D015992:Body Mass Index; D001835:Body Weight; D002153:Calorimetry, Indirect; D002149:Energy Intake; D005260:Female; D006801:Humans; D016014:Linear Models; D015596:Nutrition Assessment; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D055815:Young Adult