Medicine and Health Sciences Commons^™

Cardiorespiratory Fitness As A Vital Sign Of Cvd Risk In The Covid-19 Era, Matthew P. Harber, James E. Peterman, Mary Imboden, Leonard Kaminsky, Ruth E.M. Ashton, Ross Arena, Mark A. Faghy

Faculty Publications - Department of Kinesiology

The severe health consequences of the corona virus disease 2019 (COVID-19) pandemic have been exacerbated by the prevalence of cardiovascular disease (CVD) risk factors, such as physical inactivity, obesity, hypertension, and diabetes. Further, policy decisions during the pandemic augmented unhealthy lifestyle behaviors and health inequalities, likely increasing the global disease burden. Cardiorespiratory fitness (CRF) is a well-established biomarker associated with CVD risk. Emerging data demonstrate that high CRF offers some protection against severe outcomes from COVID-19 infection, highlighting the importance of CRF for population health and the potential for limiting the severity of future pandemics. CRF is best assessed by …

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

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, …

Accuracy Of Nonexercise Prediction Equations For Assessing Longitudinal Changes To Cardiorespiratory Fitness In Apparently Healthy Adults: Ball St Cohort, James E. Peterman, Matthew P. Harber, Mary T. Imboden, Mitchell H. Whaley, Bradley S. Fleenor, Jonathan Myers, Ross Arena, Holmes Finch, Leonard A. Kaminsky

Faculty Publications - Department of Kinesiology

Background Repeated assessment of cardiorespiratory fitness (CRF) improves mortality risk predictions in apparently healthy adults. Accordingly, the American Heart Association suggests routine clinical assessment of CRF using, at a minimum, nonexercise prediction equations. However, the accuracy of nonexercise prediction equations over time is unknown. Therefore, we compared the ability of nonexercise prediction equations to detect changes in directly measured CRF. Methods and Results The sample included 987 apparently healthy adults from the BALL ST (Ball State Adult Fitness Longitudinal Lifestyle Study) cohort (33% women; average age, 43.1±10.4 years) who completed 2 cardiopulmonary exercise tests ≥3 months apart (3.2±5.4 years of …