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

Paulina Hebisz, Rafał Hebisz and Agnieszka Jastrzębska
Additional contact information
Paulina Hebisz: Department of Physiology and Biochemistry, University School of Physical Education in Wrocław, 35 I.J. Paderewski Avenue, 51-612 Wrocław, Poland
Rafał Hebisz: Department of Physiology and Biochemistry, University School of Physical Education in Wrocław, 35 I.J. Paderewski Avenue, 51-612 Wrocław, Poland
Agnieszka Jastrzębska: Department of Physiology and Biochemistry, University School of Physical Education in Wrocław, 35 I.J. Paderewski Avenue, 51-612 Wrocław, Poland

IJERPH, 2021, vol. 18, issue 14, 1-16

Abstract: 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 HF av , RMSSD av , and SDNN av 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 (HIT av ) and HF av . 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.

Keywords: heart rate variability; high-intensity interval training; cardiorespiratory fitness (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/18/14/7636/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/14/7636/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:14:p:7636-:d:596530

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().