PREDICTION OF AEROBIC CAPACITY FROM AN INDIVIDUALIZED PROTOCOL
A New Regression Model For Prediction Of Maximal Aerobic Capacity
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The purpose of exercise testing in most non-clinical settings is to assess aerobic power of healthy adults rather than to diagnose coronary heart disease. However, measuring maximum oxygen consumption requires sophisticated equipment and trained staff.Direct measurement of VO2 max is not practical for fitness testing in health and fitness clubs or for testing large populations.Of the numerous predictive equations reported in the literature, most do not present cross-validation results, many were developed on age/sex specific populations, and several provide none or high values of the SEE measu...
The purpose of exercise testing in most non-clinical
settings is to assess aerobic power of healthy
adults rather than to diagnose coronary heart
disease. However, measuring maximum oxygen
consumption requires sophisticated equipment and
trained staff.Direct measurement of VO2 max is not
practical for fitness testing in health and fitness
clubs or for testing large populations.Of the
numerous predictive equations reported in the
literature, most do not present cross-validation
results, many were developed on age/sex specific
populations, and several provide none or high values
of the SEE measure. Thus, a submaximal cycle
ergometer test is needed that 1) is safe, 2) valid
across gender and wide ranges of age and fitness
level, 3) can be administered quickly and easily,
and 4) has a low standard error of the estimate for
accuracy. Therefore, the primary purpose of this
study is to develop an accurate multiple regression
equation to predict VO2 max with a wide
applicability and a low prediction error in men (
40yrs) and women ( 50yrs) using an individualized
submaximal cycle ergometer protocol.
settings is to assess aerobic power of healthy
adults rather than to diagnose coronary heart
disease. However, measuring maximum oxygen
consumption requires sophisticated equipment and
trained staff.Direct measurement of VO2 max is not
practical for fitness testing in health and fitness
clubs or for testing large populations.Of the
numerous predictive equations reported in the
literature, most do not present cross-validation
results, many were developed on age/sex specific
populations, and several provide none or high values
of the SEE measure. Thus, a submaximal cycle
ergometer test is needed that 1) is safe, 2) valid
across gender and wide ranges of age and fitness
level, 3) can be administered quickly and easily,
and 4) has a low standard error of the estimate for
accuracy. Therefore, the primary purpose of this
study is to develop an accurate multiple regression
equation to predict VO2 max with a wide
applicability and a low prediction error in men (
40yrs) and women ( 50yrs) using an individualized
submaximal cycle ergometer protocol.
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