Predicting Cardiorespiratory Fitness with a Cycle Ergometry Equation in Middle-Aged and Older Adults at Low and High Risk of Cardiovascular Disease

Both the Storer and the FRIEND cycle ergometry equations predicted CRF with good accuracy in adults at low and high risk of CVD. Using the gender-specific equations slightly improved the accuracy; however, the FRIEND equation performed better overall. Therefore, the FRIEND equation provides a practical and simple alternative to assess CRF in adults when the direct measurement of V̇O 2max is not feasible.

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Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2025-05-20
DOI
https://doi.org/10.1249/mss.0000000000003761
Primary Topic
Cardiovascular and exercise physiology
Type
article
Field-Weighted Citation Impact
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article

Predicting Cardiorespiratory Fitness with a Cycle Ergometry Equation in Middle-Aged and Older Adults at Low and High Risk of Cardiovascular Disease

Ahmed Ghachem, Glen Patrick Kenny, Pierre Boulay, James J. McCormick
Medicine & Science in Sports & Exercise
Cardiovascular and exercise physiology
article

Predicting Cardiorespiratory Fitness with a Cycle Ergometry Equation in Middle-Aged and Older Adults at Low and High Risk of Cardiovascular Disease

Ahmed Ghachem, Glen Patrick Kenny, Pierre Boulay, James J. McCormick
article en

Abstract

Both the Storer and the FRIEND cycle ergometry equations predicted CRF with good accuracy in adults at low and high risk of CVD. Using the gender-specific equations slightly improved the accuracy; however, the FRIEND equation performed better overall. Therefore, the FRIEND equation provides a practical and simple alternative to assess CRF in adults when the direct measurement of V̇O 2max is not feasible.

Medicine & Science in Sports & ExerciseVol. 57(10)
Université de Sherbrooke (CA), University of Ottawa (CA), Ottawa Hospital (CA), Ottawa Hospital Research Institute (CA)
Good health and well-being
Openalex Percentile: Top 82%
Cardiovascular and exercise physiology
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