Author(s): Sajjadh Ahmad Bhat and Dhananjoy Shaw

Abstract:
The aim of the study was to develop regression models for estimating Maximal Oxygen Uptake (VO2 Max.) of male youth habitat of Kashmir valley. The study was conducted on two hundred forty two healthy male youth of Kashmir (altitude: 6070 feet/1850 meters). The age of the subjects ranged from 18 to 23 years. The youth were administered with submaximal bench step test (American College of Sports Medicine Protocol) to determine the VO2max. by plotting HR-workload combinations calculated by Karvonen heart rate reserve method. Data was collected using Cardio-Sport heart rate monitor and step test protocol. The selected variables were Age in years, Body weight in kilograms (B.Wt.), Height in centimeters (Ht.), Resting Heart Rate (HRrest), Target Heart Rate (THR), Maximal Heart Rate (HRmax.), Heart Rate at Two minutes of step testing with cadence 15 steps/min (ExHR2), Heart Rate at Four minutes of step testing with cadence 20 steps/min (ExHR4), Heart Rate at Six minutes of step testing with cadence 30 steps/min (ExHR6), recovery heart rate at one minutes of rest (RcvHR1), recovery heart rate at two minutes of rest (RcvHR2) and recovery heart rate at third minute of rest (RcvHR3); (As per the formula advocated by American College of Sports Medicine). The collected data was computed with mean, standard deviation, correlation matrix, ANOVA and stepwise multiple correlations for deriving regression models using SPSS. The study concluded with the development of regression models for Kashmiri youth (habitat of high altitude) for estimating their VO2 max. (Aerobic fitness) with high degree of power of prediction. Among the eight regression models for estimating VO2 max. for Kashmiri youth (habitat of high altitude),the best model was model eight (-.458 × ExHR4 + .041 × ExHR6 - .314 × Age + 131.147 constant) followed by model seven (.018 × B.Wt - .458 X ExHR4 + .042 × ExHR6 - .328 × Age + 129.955 constant).

Pages: 228-233  |  990 Views  72 Downloads