title: An equation for the prediction of oxygen consumption in a Brazilian population.
abstract: BACKGROUND
  The equations predicting maximal oxygen uptake (VO2max or peak) presently in use in cardiopulmonary exercise testing (CPET) softwares in Brazil have not been adequately validated. These equations are very important for the diagnostic capacity of this method.
  
  
  OBJECTIVE
  Build and validate a Brazilian Equation (BE) for prediction of VO2peak in comparison to the equation cited by Jones (JE) and the Wasserman algorithm (WA).
  
  
  METHODS
  Treadmill evaluation was performed on 3119 individuals with CPET (breath by breath). The construction group (CG) of the equation consisted of 2495 healthy participants. The other 624 individuals were allocated to the external validation group (EVG). At the BE (derived from a multivariate regression model), age, gender, body mass index (BMI) and physical activity level were considered. The same equation was also tested in the EVG. Dispersion graphs and Bland-Altman analyses were built.
  
  
  RESULTS
  In the CG, the mean age was 42.6 years, 51.5% were male, the average BMI was 27.2, and the physical activity distribution level was: 51.3% sedentary, 44.4% active and 4.3% athletes. An optimal correlation between the BE and the CPET measured VO2peak was observed (0.807). On the other hand, difference came up between the average VO2peak expected by the JE and WA and the CPET measured VO2peak, as well as the one gotten from the BE (p = 0.001).
  
  
  CONCLUSIONS
  BE presents VO2peak values close to those directly measured by CPET, while Jones and Wasserman differ significantly from the real VO2peak.
authors.affiliation: Cardio Lógica Métodos Gráficos, João Pessoa, PB, Brazil.
authors.forename: Antonio Eduardo Monteiro de
authors.initials: AE
authors.lastname: Almeida
authors.affiliation: Grupo de Pesquisa em Cardiologia do Exercício, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
authors.forename: Charles de Moraes
authors.initials: Cde M
authors.lastname: Stefani
authors.affiliation: Departamento de Educação Física e Departamento de Estatística, Universidade Federal da Paraíba, João Pessoa, PB, Brazil.
authors.forename: João Agnaldo do
authors.initials: JA
authors.lastname: Nascimento
authors.affiliation: Cardio Lógica Métodos Gráficos, João Pessoa, PB, Brazil.
authors.forename: Narla Miranda de
authors.initials: NM
authors.lastname: Almeida
authors.affiliation: Departamento de Educação Física e Departamento de Estatística, Universidade Federal da Paraíba, João Pessoa, PB, Brazil.
authors.forename: Amilton da Cruz
authors.initials: Ada C
authors.lastname: Santos
authors.affiliation: Serviço de Cardiologia, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
authors.forename: Jorge Pinto
authors.initials: JP
authors.lastname: Ribeiro
authors.affiliation: Grupo de Pesquisa em Cardiologia do Exercício, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
authors.forename: Ricardo
authors.initials: R
authors.lastname: Stein
mesh_terms: D000328:Adult; D000367:Age Factors; D000465:Algorithms; D015992:Body Mass Index; D001938:Brazil; D005080:Exercise Test / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010101:Oxygen Consumption / Q000502:physiology*; D011237:Predictive Value of Tests; D012016:Reference Values; D012044:Regression Analysis; D015203:Reproducibility of Results; D012129:Respiratory Function Tests / Q000379:methods*; D012737:Sex Factors; D018709:Statistics, Nonparametric