title: Prediction of maximal oxygen uptake from a 3-minute walk based on gender, age, and body composition.
abstract: BACKGROUND
  The purpose was to develop new maximal oxygen uptake (VO2max) prediction models using a perceptually regulated 3-minute walk test.
  
  
  METHODS
  VO2max was measured with a maximal incremental cycle test in 283 Japanese adults. A 3-minute walk test was conducted at a self-regulated intensity corresponding to ratings of perceived exertion (RPE) 13.
  
  
  RESULTS
  A 3-minute walk distance (3MWD) was significantly related to VO2max (r = .60, P < .001). Three prediction models were developed by multiple regression to estimate VO2max using data on gender, age, 3MWD, and either BMI [BMI model, multiple correlation coefficients (R) = .78, standard error of estimate (SEE) = 5.26 ml·kg-1·min-1], waist circumference (WC model, R = .80, SEE = 5.04 ml·kg-1·min-1), or body fat percentage (%Fat model, R = .84, SEE = 4.57 ml·kg-1·min-1), suggesting that the %Fat model is the best model [VO2max = 37.501 + 0.463 × Gender (0 = women, 1 = men) - 0.195 × Age - 0.589 × %Fat + 0.053 × 3MWD]. Cross-validation by using the predicted residual sum of squares (PRESS) procedures demonstrated a high level of cross-validity of all prediction models.
  
  
  CONCLUSIONS
  The new VO2max prediction models are reasonably applicable to estimating VO2max in Japanese adults and represent a quick, low-risk, and convenient means for estimating VO2max in the field.
authors: Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
authors: Zhen-Bo
authors: ZB
authors: Cao
authors: Nobuyuki
authors: N
authors: Miyatake
authors: Tomoko
authors: T
authors: Aoyama
authors: Mitsuru
authors: M
authors: Higuchi
authors: Izumi
authors: I
authors: Tabata
mesh_terms: D000328:Adult; D000367:Age Factors; D001823:Body Composition; D015992:Body Mass Index; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010101:Oxygen Consumption / Q000502:physiology*; D012737:Sex Factors; D016138:Walking / Q000502:physiology*