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Predicting Vo2max In College-Aged Participants Using Cycle Ergometry And Nonexercise Measures, David E. Nielson
Predicting Vo2max In College-Aged Participants Using Cycle Ergometry And Nonexercise Measures, David E. Nielson
Theses and Dissertations
The purpose of this study was to develop a multiple linear regression model to predict treadmill VO2max scores using both exercise and nonexercise data. One hundred five college-aged participants (53 male, 52 female, mean age 23.5 ± 2.8 yrs) successfully completed a submaximal cycle ergometer test and a maximal graded exercise test (GXT) on a motorized treadmill. The submaximal cycle protocol required participants to achieve a steady-state heart rate (HR) equal to at least 70% of age-predicted maximum HR (220-age), while the maximal treadmill GXT required participants to exercise to volitional fatigue. Relevant submaximal cycle ergometer test data included a …