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Full-Text Articles in Medicine and Health Sciences
Accuracy Of Exercise-Based Equations For Estimating Cardiorespiratory Fitness, James E. Peterman, Matthew P. Harber, Mary T. Imboden, Mitchell H. Whaley, Bradley S. Fleenor, Jonathan Myers, Ross Arena, Leonard A. Kaminsky
Accuracy Of Exercise-Based Equations For Estimating Cardiorespiratory Fitness, James E. Peterman, Matthew P. Harber, Mary T. Imboden, Mitchell H. Whaley, Bradley S. Fleenor, Jonathan Myers, Ross Arena, Leonard A. Kaminsky
Faculty Publications - Department of Kinesiology
Equations are often used to predict cardiorespiratory fitness (CRF) from submaximal or maximal exercise tests. However, no study has comprehensively compared these exercise-based equations with directly measured CRF using data from a single, large cohort. Purpose: This study aimed to compare the accuracy of exercise-based prediction equations with directly measured CRF and evaluate their ability to classify an individual’s CRF. Methods: The sample included 4871 tests from apparently healthy adults (38% female, age 44.4 ± 12.3 yr (mean ± SD)). Estimated CRF (eCRF) was determined from 2 nonexercise equations, 3 submaximal exercise equations, and 10 maximal exercise equations; all eCRF …
Comparison Of Non-Exercise Cardiorespiratory Fitness Prediction Equations In Apparently Healthy Adults, James E. Peterman, Mitchell H. Whaley, Matthew P. Harber, Bradley S. Fleenor, Mary T. Imboden, Jonathan Myers, Ross Arena, Leonard A. Kaminsky
Comparison Of Non-Exercise Cardiorespiratory Fitness Prediction Equations In Apparently Healthy Adults, James E. Peterman, Mitchell H. Whaley, Matthew P. Harber, Bradley S. Fleenor, Mary T. Imboden, Jonathan Myers, Ross Arena, Leonard A. Kaminsky
Faculty Publications - Department of Kinesiology
Aims: A recent scientific statement suggests clinicians should routinely assess cardiorespiratory fitness using at least non-exercise prediction equations. However, no study has comprehensively compared the many non-exercise cardiorespiratory fitness prediction equations to directly-measured cardiorespiratory fitness using data from a single cohort. Our purpose was to compare the accuracy of non-exercise prediction equations to directly-measured cardiorespiratory fitness and evaluate their ability to classify an individual's cardiorespiratory fitness.
Methods: The sample included 2529 tests from apparently healthy adults (42% female, aged 45.4 ± 13.1 years (mean±standard deviation). Estimated cardiorespiratory fitness from 28 distinct non-exercise prediction equations was compared with directly-measured cardiorespiratory fitness, …