scholarly journals Basal and post-exercise heart rate variability correlates with training load in endurance athletes

2020 ◽  
Vol 13 (2) ◽  
pp. 71-75
Author(s):  
Claudio Nieto-Jiménez ◽  
José Francisco Ruso-Álvarez ◽  
Elena Pardos-Mainer ◽  
Magdalena Schnettler-Ramírez ◽  
José Naranjo-Orellana

Objective: Heart rate variability has been proposed as a valid method to examine the individual response to training load in endurance athletes. Thanks to this tool, the relationship between basal and post-exercise Heart rate variability measurements can be analyzed during a microcycle (one week) using straight values or their coefficients of variation. Method: Ten amateur endurance athletes (n = 5 men, n = 5 women) were monitored during a 7-day microcycle that included three road-cycling sessions, two running sessions and two trail-running sessions. The RR series were measured for 5 minutes upon wake up and after training, in a seating position, using a chest strap. Results: Basal and post-exercise Heart rate variability measurements showed high correlation when weekly mean values were used, very similar to when coefficients of variation values were used. In women, the root mean square of successive differences (RMSSD) was: r= 0.73; RMSSD coefficients of variation (RMSSDcv) was: r= 0.66; natural logarithm (Ln) RMSSD: r= 0.68; LnRMSSDcv: r= 0.79; and in men it RMSSD was: r= 0.78; RMSSDcv: r= -0.62; LnRMSSD: r= 0.75; LnRMSSDcv: r= -0.73). Conclusion: the relationship between these two measurements could be useful to program the training loads of the following microcycle.

Hearts ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 36-44
Author(s):  
Michele Malagù ◽  
Francesco Vitali ◽  
Ugo Rizzo ◽  
Alessandro Brieda ◽  
Ottavio Zucchetti ◽  
...  

Background: Heart rate variability (HRV) is widely used in professional soccer players as a tool to assess individual response to training load. Different devices and methods are available for HRV assessment. The relationship between HRV and competitive soccer matches performance is not documented. Methods: We monitored HRV in professional soccer players throughout a game season. Measurements were performed with a portable lightweight device in weekly 5 min sessions from which we obtained the value of the square root of the mean squared differences of successive beat-to-beat intervals (rMSSD). Game parameters of run and velocity were collected. Results: Twenty-seven players were monitored with a total of 121 observations. The rMSSD significantly related with the total distance covered (p = 0.036) and with the distance covered running at >15 km/h (p = 0.039) during soccer games. Conclusions: HRV was associated with competition performance in professional soccer players.


2010 ◽  
Vol 156 (1-2) ◽  
pp. 111-116 ◽  
Author(s):  
Hani Al Haddad ◽  
Paul B. Laursen ◽  
Didier Chollet ◽  
Frédéric Lemaitre ◽  
Saïd Ahmaidi ◽  
...  

2016 ◽  
Vol 26 (6) ◽  
pp. 415-421 ◽  
Author(s):  
Guilherme Eckhardt Molina ◽  
Keila Elizabeth Fontana ◽  
Luiz Guilherme Grossi Porto ◽  
Luiz Fernando Junqueira

2016 ◽  
Vol 116 (4) ◽  
pp. 697-706 ◽  
Author(s):  
Scott Michael ◽  
Ollie Jay ◽  
Mark Halaki ◽  
Kenneth Graham ◽  
Glen M. Davis

2018 ◽  
Vol 39 (10) ◽  
pp. 773-781 ◽  
Author(s):  
Laurent Schmitt ◽  
Jacques Regnard ◽  
Nicolas Coulmy ◽  
Gregoire Millet

AbstractWe aimed to analyse the relationship between training load/intensity and different heart rate variability (HRV) fatigue patterns in 57 elite Nordic-skiers. 1063 HRV tests were performed during 5 years. R-R intervals were recorded in resting supine (SU) and standing (ST) positions. Heart rate, low (LF), high (HF) frequency powers of HRV were determined. Training volume, training load (TL, a.u.) according to ventilatory threshold 1 (VT1) and VT2 were measured in zones I≤VT1; VT1<II≤VT2; III>VT2, IV for strength. TL was performed at 81.6±3.5% in zone I, 0.9±0.9% in zone II, 5.0±3.6% in zone III, 11.6±6.3% in zone IV. 172 HRV tests matched a fatigue state and four HRV fatigue patterns (F) were statistically characterized as F(HF-LF-)SU_ST for 121 tests, F(LF+SULF-ST) for 18 tests, F(HF-SUHF+ST) for 26 tests and F(HF+SU) for 7 tests. The occurrence of fatigue states increased substantially with the part of altitude training time (r2=0.52, p<0.001). This study evidenced that there is no causal relationship between training load/intensity and HRV fatigue patterns. Four fatigue-shifted HRV patterns were sorted. Altitude training periods appeared critical as they are likely to increase the overreaching risks.


Sign in / Sign up

Export Citation Format

Share Document