Your heart can't see what sneakers you are wearing: Exercise training load in endurance athletes is inadequately quantified in sports cardiology - A systematic review.

Can J Cardiol

Integrated Cardiovascular and Exercise Physiology and Rehabilitation (iCARE) Lab, College of Health Sciences, University of Alberta, Edmonton, Alberta, Canada; Heart and Exercise Research Trials Laboratory, St. Vincent's Institute of Medical Research, Melbourne, Australia. Electronic address:

Published: December 2024

Background: Training load may be an important factor underlying the (patho-)physiologic cardiovascular adaptations from endurance exercise. Yet quantifying training load remains challenging due to the complexity of its components (Frequency, Intensity, Time, and Type; F.I.T.T). This systematic review aims to evaluate how training load has been quantified in sports cardiology studies and to provide recommendations for how this can be improved.

Methods: A comprehensive search was conducted across PubMed and EMBASE up to October 2024. Studies involving "sports cardiology", "training load", and "endurance sport" were included. Data extraction included study characteristics, training load assessment methods, cardiovascular outcomes, and athlete profiles.

Results: A total of 62 studies with 1,060,700 participants were included. The majority of studies (59.7%) focused on exercise induced cardiac remodelling, while other topics included cardiac arrhythmias (12.9%), cardiac autonomic adaptation (3.2%), exercise dose-response (6.5%), and coronary heart disease (17.7%). Training load was primarily quantified by questionnaires (58.1%), while heart rate monitoring, a more objective measure, was used in only 1.6% of the studies. All studies reported exercise type, but only 19.4% measured all F.I.T.T components.

Conclusion: There is a lack of uniformity in the assessment of key F.I.T.T variables to quantify training load within the field of sports cardiology, with many studies relying on subjective or incomplete methods. As cardiology moves into the precision medicine era, researchers and clinicians should seek to obtain objective training load information from their athletes according to the F.I.T.T framework, and data from objective wearable devices represent the optimal way to do this.

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Source
http://dx.doi.org/10.1016/j.cjca.2024.12.009DOI Listing

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