title: Development of non-exercise based VO2max prediction equation in college-aged participants in India.
abstract: OBJECTIVE
  The purpose of this study was to develop a linear regression model to predict treadmill VO2max scores using non-exercise data.
  
  
  METHODS
  In this cross sectional study, one hundred twenty college-aged participants (60 male, 60 female, mean age 22.02±2.29 years) voluntarily participated and successfully completed a maximal graded exercise test (GXT) on a motorized treadmill to assess VO2max (mean±SD; 2.05 L·min-¹±1.03 L·min-¹). The maximal treadmill GXT required participants to exercise to volitional fatigue.
  
  
  RESULTS
  Relevant non-exercise data included a mean (±SD) perceived functional ability (PFA) score, and physical activity rating (PA-R) score, body surface area (BSA) of 14.6±3.9, 2.97±1..75, 1.66±0.17, respectively. Multiple linear regression generated the following regression equation (R=0.899, R2=0.805, adjusted R2=0.799, SEE=0.426 L·min-¹): VO2max (L/min)=-1.541+1.096 (gender, 1=male, 0=female) +.081 (PFA) +1.084(BSA). Each predictor variable was statistically significant (P<0.05) with beta weights for gender, PFA, BSA, PA-R, and equal to (-0.518), (0.255), (0.228), (0.092), percent body fat (-0.003), respectively. The accuracy of the model was evaluated by conducting a cross-validation analysis (N.=18).
  
  
  CONCLUSIONS
  This study provides a N-EX regression prediction model that yields results and also provide a convenient and efficient tool that estimate VO2max in healthy college-aged participants in India.
authors.affiliation: Department of Sports Medicine and Physiotherapy, Guru Nanak Dev University, Amritsar, India. shwet1999@yahoo.com
authors.forename: S
authors.initials: S
authors.lastname: Shenoy
authors.forename: B
authors.initials: B
authors.lastname: Tyagi
authors.forename: J
authors.initials: J
authors.lastname: Sandhu
authors.forename: D
authors.initials: D
authors.lastname: Sengupta
mesh_terms: D003430:Cross-Sectional Studies; D005080:Exercise Test; D005260:Female; D006801:Humans; D007194:India; D016014:Linear Models; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D010101:Oxygen Consumption / Q000502:physiology*; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires; D055815:Young Adult