Assessment of Maximum Heart Rate Prediction Equations in Adults at Low and High Risk of Cardiovascular Disease

We showed that commonly used equations and the SL model have insufficient accuracy to predict HRmax among adults. The performance of the prediction equations varied considerably according to the population clinical characteristics such as the presence of CVD risk factors or a low aerobic fitness.

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Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2024-08-20
DOI
https://doi.org/10.1249/mss.0000000000003540
Citations
3
Primary Topic
Cardiovascular and exercise physiology
Type
article
Field-Weighted Citation Impact
2.15
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article

Assessment of Maximum Heart Rate Prediction Equations in Adults at Low and High Risk of Cardiovascular Disease

Ronald J. Sigal, Ahmed Ghachem, Glen Patrick Kenny, Pierre Boulay et al.
3 citations
Medicine & Science in Sports & Exercise
Cardiovascular and exercise physiology
2.15
article

Assessment of Maximum Heart Rate Prediction Equations in Adults at Low and High Risk of Cardiovascular Disease

Ronald J. Sigal, Ahmed Ghachem, Glen Patrick Kenny, Pierre Boulay, Paul Poirier
article en
3 citations

Abstract

We showed that commonly used equations and the SL model have insufficient accuracy to predict HRmax among adults. The performance of the prediction equations varied considerably according to the population clinical characteristics such as the presence of CVD risk factors or a low aerobic fitness.

Medicine & Science in Sports & ExerciseVol. 57(1)
Université de Sherbrooke (CA), University of Ottawa (CA), University of Calgary (CA), Ottawa Hospital (CA), In-Q-Tel (US), Institut universitaire de cardiologie et de pneumologie de Québec (CA), Université Laval (CA), Ottawa Hospital Research Institute (CA)
Good health and well-being
Openalex Percentile: Top 12%
Cardiovascular and exercise physiology
2.15
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