Abstract

In athletes, spectral analysis of HR variability (HRV) has been shown capable to detect the adaptational changes in sympatho‐vagal control attending physical training. So far, studies investigated autonomic nervous system (ANS) changes occurring with endurance training, whereas adaptations to markedly different exercise modes, for example, strength training, have never been investigated. We assessed the changes in cardiac ANS parameters during long‐term training in weight lifters of the Italian team preparing for the European Championship, where athletes competed for obtaining the pass for Olympic Games. We investigated nine athletes. Subject trained 3 sessions/day, 6 days a week. The intensity of strength exercises varied from 70% to 95% 1 RM. Training load (TL) was calculated as: volume (min) × intensity (%1RM).All ANS parameters were significantly and highly correlated on an individual basis to the dose of exercise with a second‐order regression model (r 2 ranged from 0.96 to 0.99; P < 0.001). The low‐frequency (LF) component of HRV and LF/HF ratio showed an initial increase with the progression of TL and then a decrease, resembling a bell‐shaped curve with a minimum at the highest TL. The high‐frequency (HF) component of HRV and R‐R interval showed a reciprocal pattern, with an initial decrease with progression of TL followed by an increase, resembling an U‐shaped curve with a maximum at the highest TL. These adaptations were at the opposite to those previously reported in endurance athletes. These results suggest that in Olympic weight lifters, ANS adaptations to training are dose‐related on individual basis and that ANS adaptations are mainly sport‐specific.

Highlights

  • Searching for minimally invasive, minimally disturbing indicators of training status in athletes has been always a matter of interest in exercise physiology and sports medicine

  • The main and novel finding of the present investigation is that cardiac autonomic nervous system (ANS) adaptations to strength training in top-level weight lift athletes are dose-related on individual basis, and are substantially different from those observed in endurance-trained athletes, showing a progressive shift toward a parasympathetic predominance as training load approached the maximum

  • Indexes of parasympathetic cardiac regulation showed a bell-shaped curve with a minimum at the highest training load, whereas indexes of sympathetic cardiac regulation resembled an U-shaped curve with a maximum at the highest training load (Manzi et al 2009; Iellamo et al 2013) (Fig. 3)

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Summary

Introduction

Searching for minimally invasive, minimally disturbing indicators of training status in athletes has been always a matter of interest in exercise physiology and sports medicine. To this aim, several variables have been monitored, mostly related to adaptive changes in the neuroendocrine system and heart rate (HR), because HR represents one of the most accessible, noninvasive and lowcost physiological measures in sports medicine. Several variables have been monitored, mostly related to adaptive changes in the neuroendocrine system and heart rate (HR), because HR represents one of the most accessible, noninvasive and lowcost physiological measures in sports medicine In this context, spectral analysis of short-term HR variability (HRV) has been shown to be capable to detect the complex adaptational changes in sympatho-vagal control attending physical training.

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