Key result
Spectral analysis of HRV detects sport-specific and individual autonomic adaptations to long-term exercise in athletes.
Why the study?
To address how spectral analysis of HRV can help understand neural cardiovascular adaptations to long-term exercise training and inform on training status in athletes.
Does long-term exercise training modify neural cardiac regulation as assessed by spectral analysis of heart rate variability in athletes?
Does long-term exercise training modify neural cardiac regulation as assessed by spectral analysis of heart rate variability in athletes?
Spectral analysis of HRV is an effective tool to monitor training adaptations and predict athletic achievements, with adaptations being highly dependent on the type of training and individual factors.
Answers are grounded in this paper and cite their sources.
May support HRV monitoring of autonomic adaptations in athletes; leaves open prospective validation before clinical use.
Spectral analysis of heart rate variability (HRV) is a long-standing technique to indirectly assess neural cardiac regulation. This article specifically addressed how spectral analysis of HRV could help to understand neural cardiovascular adaptations to long-term exercise training; and inform us on training status in athletes. We reviewed literature searching for articles investigating resting cardiovascular adaptations to long-term exercise training through spectral analysis of HRV in athletes, from amateur to world class categories, practicing different sport disciplines, and focusing, in particular, on a series of work performed over time in our laboratory, which may highlight how different types of exercise training differently affect neural cardiac regulation. Spectral analysis of HRV has been shown its capability of detecting different adaptational changes in cardiac autonomic nervous system (ANS) regulation attending physical training in athletes of different sport disciplines. Studies showed that spectral analysis of HRV provide results that are sport-dependent and differ at individual level. ANS adaptations to exercise training are presented and discussed. Reported studies indicate that spectral analysis of HRV is an effective tool to monitor and optimize the training process and to predict athletic achievements in competitions. Cardiac ANS adaptations are strongly dependant on the type of training being performed. The individual nature of cardiac ANS adaptations should be considered to properly interpret the observed findings.
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Perrone et al. (2021) conducted a review in Athletes. Spectral analysis of heart rate variability was evaluated on Neural cardiovascular adaptations to long-term exercise training. Spectral analysis of heart rate variability effectively detects sport-dependent and individual-level cardiac autonomic nervous system adaptations to long-term exercise training in athletes.
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