title: Comparison of Measured and Predictive Values of Basal Metabolic Rate in Brazilian Paralympic Track and Field Athletes.
abstract: To compare basal metabolic rate (BMR) predicted by different equations with measured BMR of the Brazilian paralympic track & field team aiming to verify which of these equations is best suited for use in this group.
  
  
  METHODS
  19 male and 11 female athletes grouped according to functional classification (vision impairment-VI, limb deficiency-LD, and cerebral palsy-CP) had their BMR measured by indirect calorimetry and compared with values predicted by different equations: Cunningham, Owen, Harris-Benedict, FAO/OMS, Dietary Reference Intakes, and Mifflin. Body composition data were obtained by skinfold measurements. Results were reported as mean and standard deviation and analyzed using the Wilcoxon test and Pearson's Correlation Coefficient. The Root Mean Squared Prediction Error (RMSPE) was calculated to identify the similarity between the estimated and predicted BMR.
  
  
  RESULTS
  Mean measured BMR was 25 ± 4.2, 26 ± 2.4, and 26 ± 2.7 kcal/kg of fat free mass/day for VI, LD, and CP, respectively. Owen's equation had the best predictive performance in comparison with measured BMR for LD and CP athletes, within 104 and 125 kcal/day, while Mifflin's equation predicted within 146 kcal/day for VI athletes.
  
  
  CONCLUSIONS
  for this specific group of athletes the Owen and Mifflin equations provided the best predictions of BMR.
authors.affiliation: Dept. of Human Movement Sciences, Federal University of São Paulo, Brazil.
authors.forename: Claudia Ridel
authors.initials: CR
authors.lastname: Juzwiak
authors.forename: Ciro
authors.initials: C
authors.lastname: Winckler
authors.forename: Daniel Paduan
authors.initials: DP
authors.lastname: Joaquim
authors.forename: Andressa
authors.initials: A
authors.lastname: Silva
authors.forename: Marco Tulio
authors.initials: MT
authors.lastname: de Mello
mesh_terms: D000328:Adult; D056352:Athletes; D001481:Basal Metabolism; D001823:Body Composition; D015992:Body Mass Index; D001835:Body Weight; D001938:Brazil; D002153:Calorimetry, Indirect; D003430:Cross-Sectional Studies; D002149:Energy Intake; D005260:Female; D006801:Humans; D008297:Male; D009751:Nutritional Requirements; D009752:Nutritional Status; D014142:Track and Field; D055815:Young Adult