title: Predicting aerobic power in children. A comparison of two methods.
abstract: OBJECTIVE
  To compare the accuracy of two equations for predicting VO2max of children using submaximal cycle ergometry.
  
  
  METHODS
  Repeated measures comparing treadmill measured maximal aerobic power (VO2max) with two methods of predicting VO2max using cycle ergometry testing.
  
  
  METHODS
  Thirty-three children (15 boys and 18 girls) aged 7-13 years served as subjects.
  
  
  METHODS
  Each child completed a treadmill graded exercise test (GXT) to volitional fatigue to assess VO2max. Each child also completed a progressive 9-min, three-stage, submaximal cycle ergometer test. Heart rates obtained during the last minute of each stage of the ergometer test were used to predict VO2max. Predictions were based on a gender-specific modification of the PWC170 (PWCGS) and a modification of the PWC195 using a 1.17 correction factor and an age and gender-adjusted estimate of resting metabolic rate.
  
  
  RESULTS
  The correlations between both submaximal tests and the GXT were significant (p < 0.001); however, the correlation between the GXT and the PWC195 equation (r = 0.807) was higher than the correlation between the GXT and the PWCGS equation (r = 0.658). Analysis indicated that the PWCGS equation significantly underestimated the VO2max compared to either the GXT or PWC195 (GXT = 45.0 +/- 7.1, PWC195 = 44.7 +/- 6.2, PWCGS = 42.7 +/- 5.8 ml/kg/min; p < 0.01).
  
  
  CONCLUSIONS
  These results suggest that although the gender-specific PWCGS method is easier to compute and may be acceptable, the modified PWC195 method is a more accurate estimate of VO2max in children.
authors.affiliation: Department of Physical Education Exercise and Sport Science, University of North Carolina, Chapel Hill 27599-8700, USA.
authors.forename: R G
authors.initials: RG
authors.lastname: McMurray
authors.forename: W K
authors.initials: WK
authors.lastname: Guion
authors.forename: B E
authors.initials: BE
authors.lastname: Ainsworth
authors.forename: J S
authors.initials: JS
authors.lastname: Harrell
mesh_terms: D000293:Adolescent; D000367:Age Factors; D000465:Algorithms; D002648:Child; D004734:Energy Metabolism / Q000502:physiology; D005080:Exercise Test / Q000379:methods*; D005221:Fatigue / Q000503:physiopathology; D005260:Female; D005544:Forecasting; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008297:Male; D010101:Oxygen Consumption / Q000502:physiology*; D010807:Physical Endurance / Q000502:physiology; D012146:Rest / Q000502:physiology; D012737:Sex Factors