4.3 Article

An Attempt to Predict Changes in Heart Rate Variability in the Training Intensification Process among Cyclists

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MDPI
DOI: 10.3390/ijerph18147636

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heart rate variability; high-intensity interval training; cardiorespiratory fitness

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  1. University School of Physical Education in Wroclaw [PN/BK/2020/07]

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Individual changes in resting heart rate variability have been found to be variable among Polish cyclists during training, with some showing increased HF values during high-intensity training periods while others showed increased HF values during low-intensity training periods. Cyclists with lower baseline HRV values exhibited increased activity of the parasympathetic nervous system, while those with higher baseline values showed an opposite trend.
Individual changes in resting heart rate variability (HRV) parameters were assessed in seven Polish cyclists during a training process consisting of: a six-week period (P1) of predominantly low- and moderate-intensity training (L-MIT) and a six-week period (P2) where the proportion of high-intensity interval training (HIT) increased. Daily recorded HRV parameters included high-frequency spectral power (HF), square root of the mean squared difference between successive normal-to-normal RR intervals (RMSSD), and standard deviation of normal-to-normal RR intervals (SDNN). In each training microcycle, the average values of HFav, RMSSDav, and SDNNav were calculated individually for each participant. In three cyclists, HF was higher in P2 compared to P1, whereas in one cyclist, HF was higher in P1 than in P2. Each of these four cyclists presented an individual correlation between the average daily duration HIT effort in training microcycles (HITav) and HFav. Cyclists with low baseline values of HRV parameters showed increased activity of the parasympathetic nervous system, while in the cyclist with high baseline values of HRV parameters, an opposite change was observed. In conclusion, changes in resting HRV parameters between period P1 and P2 can be individualised. In the investigated group, it was possible to predict how HRV would change as a result of training intensification on the basis of HRV baseline values.

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