Influence of Training Load and Altitude on Heart Rate Variability Fatigue Patterns in Elite Nordic Skiers

2018 ◽  
Vol 39 (10) ◽  
pp. 773-781 ◽  
Author(s):  
Laurent Schmitt ◽  
Jacques Regnard ◽  
Nicolas Coulmy ◽  
Gregoire Millet
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Ventilatory Threshold ◽  
Training Load ◽  
Altitude Training ◽  
Training Volume ◽  
Training Time ◽  
Zone Ii ◽  
Load Intensity ◽  
The Relationship

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.

Training-Load-Guided vs Standardized Endurance Training in Recreational Runners

2017 ◽  
Vol 12 (3) ◽  
pp. 295-303 ◽  
Author(s):  
Moritz Schumann ◽  
Javier Botella ◽  
Laura Karavirta ◽  
Keijo Häkkinen
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Oxygen Consumption ◽  
Endurance Training ◽  
Maximal Oxygen Consumption ◽  
Endurance Performance ◽  
Training Load ◽  
Training Volume ◽  
Treadmill Test ◽  
Recreational Runners

Purpose:To compare the effects of a standardized endurance-training program with individualized endurance training modified based on the cumulative training load provided by the Polar training-load feature.Methods:After 12 wk of similar training, 24 recreationally endurance-trained men were matched to a training-load-guided (TL, n = 10) or standardized (ST, n = 14) group and continued training for 12 wk. In TL, training sessions were individually chosen daily based on an estimated cumulative training load, whereas in ST the training was standardized with 4–6 sessions/wk. Endurance performance (shortest 1000-m running time during an incremental field test of 6 × 1000 m) and heart-rate variability (HRV) were measured every 4 wk, and maximal oxygen consumption (VO2max) was measured during an incremental treadmill test every 12 wk.Results:During weeks 1–12, similar changes in VO2max and 1000-m time were observed in TL (+7% ± 4%, P = .004 and –6% ± 4%, P = .069) and ST (+5% ± 7%, P = .019 and –8% ± 5%, P < .001). During wk 13–24, VO2max statistically increased in ST only (3% ± 4%, P = .034). The 1000-m time decreased in TL during wk 13–24 (–9% ± 5%, P = .011), but in ST only during wk 13–20 (–3% ± 2%, P = .003). The overall changes in VO2max and 1000-m time during wk 0–24 were similar in TL (+7% ± 4%, P = .001 and –9% ± 5%, P = .011) and ST (+10% ± 7%, P < .001 and –13% ± 5%, P < .001). No between-groups differences in total training volume and frequency were observed. HRV remained statistically unaltered in both groups.Conclusions:The main finding was that training performed according to the cumulative training load led to improvements in endurance performance similar to those with standardized endurance training in recreational endurance runners.

Quantifying Training Load: A Comparison of Subjective and Objective Methods

2008 ◽  
Vol 3 (1) ◽  
pp. 16-30 ◽  
Author(s):  
Jill Borresen ◽  
Michael I. Lambert
Keyword(s):  
Heart Rate ◽  
High Intensity ◽  
Perceived Exertion ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Regression Equations ◽  
Training Time ◽  
Ad Libitum ◽  
Training Impulse ◽  
The Relationship

Purpose:To establish the relationship between a subjective (session rating of perceived exertion [RPE]) and 2 objective (training impulse [TRIMP]) and summated-heart-rate-zone (SHRZ) methods of quantifying training load and explain characteristics of the variance not accounted for in these relationships.Methods:Thirty-three participants trained ad libitum for 2 wk, and their heart rate (HR) and RPE were recorded to calculate training load. Subjects were divided into groups based on whether the regression equations over- (OVER), under- (UNDER), or accurately predicted (ACCURATE) the relationship between objective and subjective methods.Results:A correlation of r = .76 (95% CI: .56 to .88) occurred between TRIMP and session-RPE training load. OVER spent a greater percentage of training time in zone 4 of SHRZ (ie, 80% to 90% HRmax) than UNDER (46% ± 8% vs 25% ± 10% [mean ± SD], P = .008). UNDER spent a greater percentage of training time in zone 1 of SHRZ (ie, 50% to 60% HRmax) than OVER (15% ± 8% vs 3% ± 3%, P = .005) and ACCURATE (5% ± 3%, P = .020) and more time in zone 2 of SHRZ (ie, 60% to 70%HRmax) than OVER (17% ± 6% vs 7% ± 6%, P = .039). A correlation of r = .84 (.70 to .92) occurred between SHRZ and session-RPE training load. OVER spent proportionally more time in Zone 4 than UNDER (45% ± 8% vs 25% ± 10%, P = .018). UNDER had a lower training HR than ACCURATE (132 ± 10 vs 148 ± 12 beats/min, P = .048) and spent more time in zone 1 than OVER (15% ± 8% vs 4% ± 3%, P = .013) and ACCURATE (5% ± 3%, P = .015).Conclusions:The session-RPE method provides reasonably accurate assessments of training load compared with HR-based methods, but they deviate in accuracy when proportionally more time is spent training at low or high intensity.

scholarly journals No evidence of association between HRV and training load in a pool of professional athletes before, during, and after the first COVID-19 lockdown.

2021 ◽  
Author(s):  
Alejandro Javaloyes ◽  
Daniele Marinazzo ◽  
Daniel Sanabria ◽  
Manuel Moya-Ramón ◽  
José Ramón Lillo-Bevia ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Body Mass ◽  
Mixed Model ◽  
Elite Athletes ◽  
Training Load ◽  
Training Volume ◽  
Specific Effects ◽  
And Training

PURPOSE: The COVID-19 crisis also affected elite sport severely, as elite athletes either stopped or drastically reduced their training regimen due to the lack of competitions and the mandatory lockdown. The aim of this study was to test whether heart rate variability was a reliable index of training load, which was dramatically altered due to the mandatory lockdown that occurred as a consequence of the COVID-19. METHODS: Training (volume and intensity) and heart rate variability of sixteen professional male (n = 8; body mass index = 22.2 ± 2.0) and female cyclists (n = 8; body mass index = 20.3 ± 1.1) before (4 weeks), during (7 weeks), and after (4 weeks) the mandatory lockdown in Spain were monitored. RESULTS: Individual analyses showed that the mandatory lockdown caused reliable reductions in training volume in 13 subjects (-96 to -7 % reductions in minutes), that were followed by an increase after the lockdown in all subjects (5 to 270%). In contrast, changes in training load were not homogenous across individuals. Moreover, such changes were not matched by comparable variations in heart rate variability. A mixed model of the heart rate variability as a function of training volume and intensity revealed no significant modulation by these two variables, and subject specific effects on the slope. CONCLUSIONS: In this study, we did not find evidence of association between heart rate variability and training load and/or intensity as many previous reports have suggested, even if training conditions changed dramatically overnight.

scholarly journals The Use of a Smartphone Application in Monitoring HRV during an Altitude Training Camp in Professional Female Cyclists: A Preliminary Study

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5497
Author(s):  
Alejandro Javaloyes ◽  
Manuel Mateo-March ◽  
Agustín Manresa-Rocamora ◽  
Santiago Sanz-Quinto ◽  
Manuel Moya-Ramón
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Smartphone Application ◽  
Individual Response ◽  
Altitude Training ◽  
Training Volume ◽  
Training Camp ◽  
Common Strategy ◽  
Preliminary Study ◽  
The Individual

Altitude training is a common strategy to improve performance in endurance athletes. In this context, the monitoring of training and the athletes’ response is essential to ensure positive adaptations. Heart rate variability (HRV) has been proposed as a tool to evaluate stress and the response to training. In this regard, many smartphone applications have emerged allowing a wide access to recording HRV easily. The purpose of this study was to describe the changes of HRV using a validated smartphone application before (Pre-TC), during (TC), and after (Post-TC) an altitude training camp in female professional cyclists. Training load (TL) and vagal markers of heart rate variability (LnRMSSD, LnRMSSDcv) of seven professional female cyclists before, during, and after and altitude training camp were monitored. Training volume (SMD = 0.80), LnRMSSD (SMD = 1.06), and LnRMSSDcv (SMD = −0.98) showed moderate changes from Pre-TC to TC. Training volume (SMD = 0.74), TL (SMD = 0.75), LnRMSSD (SMD = −1.11) and LnRMSSDcv (SMD = 0.83) showed moderate changes from TC to Post-TC. Individual analysis showed that heart rate variability responded differently among subjects. The use of a smartphone application to measure HRV is a useful tool to evaluate the individual response to training in female cyclists.

scholarly journals Influence of aerobic fitness on the correspondence between heart rate variability and ventilatory threshold

2020 ◽  
Vol 34 (4) ◽  
pp. 555-566
Author(s):  
Lúcio Flávio Soares-Caldeira ◽  
Carla Cristiane da Silva ◽  
Priscila Chierotti ◽  
Nicolle de Souza Dias ◽  
Fábio Yuzo Nakamura
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiorespiratory Fitness ◽  
Aerobic Fitness ◽  
Visual Inspection ◽  
Ventilatory Threshold ◽  
Vagal Modulation ◽  
Maximum Workload ◽  
Progressive Exercise ◽  
The Relationship

The aims of this study were to verify the correspondence between heart rate variability (HRV) and ventilatory thresholds during a progressive exercise test and the relationship with low and high aerobic fitness levels. Twenty male volunteers (29.5±6.2 years; 75.9±13.0 kg; 175.0±7.4 cm) were recruited. The subjects were allocated to two groups according to their VO2max <48.8 ml•kg−1•min−1 (low cardiorespiratory fitness group) (n=10) and >48.81 ml•kg−1•min−1 (high cardiorespiratory fitness group) (n=10). A progressive test was performed, consisting of 3-min stages beginning at 25 watts and increasing by 25 watts every 3-min. The HRV threshold (HRVT) and ventilatory threshold (VT) analyses were performed through visual inspection. The comparisons with RMSSD values in percentage of maximum workload resulted in a higher effect size (ES) than the SDNN values. The VO2 in the high cardiorespiratory fitness group at VT (+32%), HRVTRMSSD (+27%), and HRVTSDNN (+31%) was signifi cantly higher compared to the group with low cardiorespiratory fitness. Higher values were observed for relative load (W•kg-1) at VT and HRVTSDNN in the high cardiorespiratory fitness group in comparison with the low cardiorespiratory fitness group (P<0.05), but no difference for VT and HRVTRMSSD. Signifi cant correlations between at VT and HRVTSDNN (r=0.77) were found only in the low cardiorespiratory fitness group. Cardiorespiratory fitness should be regarded as a factor for HRVT evaluation. The HRVTSDNN was closer to the VT in the low cardiorespiratory fitness group than the HRVTRMSSD, however, the use of vagal modulation assessed using the HRV parameter was more sensitive to observe possible differences regarding cardiorespiratory fitness.

Is heart rate variability actually a reliable index of training? Evidence from the COVID-19 pandemic lockdown.

2021 ◽  
Author(s):  
Alejandro Javaloyes ◽  
Daniel Sanabria ◽  
Manuel Moya-Ramón ◽  
Jose R. Lillo-Bevia ◽  
Manuel Mateo March
Keyword(s):  
Body Mass Index ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Body Mass ◽  
Elite Athletes ◽  
Training Load ◽  
Training Volume ◽  
Reliable Index ◽  
Individual Level ◽  
The Individual

PURPOSE: The COVID-19 crisis also affected elite sport severely, as elite athletes either stopped or drastically reduced their training regimen due to the lack of competitions and the mandatory lockdown. The aim of this study was to test whether heart rate variability was a reliable index of training load, which was dramatically altered due to the mandatory lockdown that occurred as a consequence of the COVID-19. METHODS: Training (volume and intensity) and heart rate variability of sixteen professional male (n = 8; body mass index = 22.2 ± 2.0) and female cyclists (n = 8; body mass index = 20.3 ± 1.1) before (4 weeks), during (7 weeks), and after (4 weeks) the mandatory lockdown were monitored. RESULTS: Individual analyses showed that the mandatory lockdown caused reliable reductions in training volume in 13 subjects (-96 to -7 % reductions in minutes), that were followed by an increase after the lockdown in all subjects (5 to 270%). In contrast, changes in training intensity were not homogenous across individuals. Crucially, changes in heart rate variability neither follow training load nor intensity at the individual level. CONCLUSIONS: Heart rate variability did not seem to be a reliable proxy of training load and/or intensity as many previous reports have suggested, even if training conditions changed dramatically overnight.

scholarly journals Influence of aerobic fitness on the correspondence between heart rate variability and ventilatory threshold

2020 ◽  
Vol 34 (4) ◽  
pp. 555-566
Author(s):  
Lúcio Flávio Soares-Caldeira ◽  
Carla Cristiane da Silva ◽  
Priscila Chierotti ◽  
Nicolle de Souza Dias ◽  
Fábio Yuzo Nakamura
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiorespiratory Fitness ◽  
Aerobic Fitness ◽  
Visual Inspection ◽  
Ventilatory Threshold ◽  
Vagal Modulation ◽  
Maximum Workload ◽  
Progressive Exercise ◽  
The Relationship

The aims of this study were to verify the correspondence between heart rate variability (HRV) and ventilatory thresholds during a progressive exercise test and the relationship with low and high aerobic fitness levels. Twenty male volunteers (29.5±6.2 years; 75.9±13.0 kg; 175.0±7.4 cm) were recruited. The subjects were allocated to two groups according to their VO2max <48.8 ml•kg−1•min−1 (low cardiorespiratory fitness group) (n=10) and >48.81 ml•kg−1•min−1 (high cardiorespiratory fitness group) (n=10). A progressive test was performed, consisting of 3-min stages beginning at 25 watts and increasing by 25 watts every 3-min. The HRV threshold (HRVT) and ventilatory threshold (VT) analyses were performed through visual inspection. The comparisons with RMSSD values in percentage of maximum workload resulted in a higher effect size (ES) than the SDNN values. The VO2 in the high cardiorespiratory fitness group at VT (+32%), HRVTRMSSD (+27%), and HRVTSDNN (+31%) was signifi cantly higher compared to the group with low cardiorespiratory fitness. Higher values were observed for relative load (W•kg-1) at VT and HRVTSDNN in the high cardiorespiratory fitness group in comparison with the low cardiorespiratory fitness group (P<0.05), but no difference for VT and HRVTRMSSD. Signifi cant correlations between at VT and HRVTSDNN (r=0.77) were found only in the low cardiorespiratory fitness group. Cardiorespiratory fitness should be regarded as a factor for HRVT evaluation. The HRVTSDNN was closer to the VT in the low cardiorespiratory fitness group than the HRVTRMSSD, however, the use of vagal modulation assessed using the HRV parameter was more sensitive to observe possible differences regarding cardiorespiratory fitness.

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
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Training Load ◽  
Endurance Athletes ◽  
Exercise Heart Rate ◽  
Individual Response ◽  
Post Exercise ◽  
Mean Values ◽  
Coefficients Of Variation ◽  
The Relationship

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.

scholarly journals Heart Rate Variability Relates with Competition Performance in Professional Soccer Players

Hearts ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 36-44
Author(s):  
Michele Malagù ◽  
Francesco Vitali ◽  
Ugo Rizzo ◽  
Alessandro Brieda ◽  
Ottavio Zucchetti ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Training Load ◽  
Soccer Players ◽  
Individual Response ◽  
Square Root ◽  
Total Distance ◽  
Professional Soccer ◽  
The Mean ◽  
The Relationship

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.

Sign in / Sign up

Export Citation Format

Share Document