Relationship of Training Load to Training Response During High Intensity and Continuous Cycle Training

2015 ◽  
Vol 47 ◽  
pp. 881
Author(s):  
Michelle M. Harbin ◽  
Carl Foster ◽  
John P. Porcari ◽  
Scott T. Doberstein ◽  
Courtney Farland ◽  
...  
2019 ◽  
Vol 40 (05) ◽  
pp. 336-343 ◽  
Author(s):  
Marcus Lee ◽  
Swarup Mukherjee

AbstractThis study determined the training load (TL) and its relationship with high-intensity running performance across the season in professional soccer players. The TL, YoYo Intermittent Recovery Test Level 2 (YYIR 2) and repeated sprint ability (RSA) were monitored in 29 players (age 26.2±3.8 years, height 173.6±5.6 cm, body mass 68.5±8.6 kg). In the mid in-season (MS), Lucia TRIMP (TRIMPL) was inversely correlated with YYIR 2 (r=−0.6, p<0.05), with total distance (TD), work-rate (WR), low-intensity distance (LID) and player load (PL) showing correlation with YYIR 2 (r=0.81, 0.77, 0.88, 0.67; p<0.05) in the late in-season (LS). In pre-season (PS), TD, WR and moderate-intensity distance (MID) were correlated with YYIR 2 (r=0.65, 0.80, 0.83, p<0.05), whereas in early in-season (ES), TD, WR, LID were correlated with YYIR 2 performance (r=0.58, 0.67, 0.55, p<0.05). There was no significant relationship (p>0.05) between TL and RSA. The findings showed the volume, intensity and types of TL accrued influences the relationship with physical performance that suggest the significance of phase-specific monitoring of TL for maximizing performance in soccer players.


Sports ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 34
Author(s):  
Laura Hottenrott ◽  
Martin Möhle ◽  
Alexander Ide ◽  
Sascha Ketelhut ◽  
Oliver Stoll ◽  
...  

Due to physiological and anatomical sex differences, there are variations in the training response, and the recovery periods following exercise may be different. High-intensity interval training (HIIT) protocols are well-suited to differentially investigate the course of recovery. This study was conducted to determine sex-specific differences in the recovery following HIIT intervals interspersed with recovery phases of different lengths. Methods: Well-trained cyclists and triathletes (n = 11 females, n = 11 males) participated in this study. There were no significant sex differences in maximal heart rate (HR), relative peak power to body mass and fat-free mass, training volume, and VO2max-percentiles (females: 91.8 ± 5.5 %, males: 94.6 ± 5.4 %). A 30 s Wingate test was performed four times, separated by different active recovery periods (1, 3, or 10 min). Lactate, HR, oxygen uptake, and subjective rating of exertion and recovery were determined. Results: For the recovery time of three and ten minutes, men showed significantly higher lactate concentrations (p = 0.04, p = 0.004). Contrary, HR recovery and subjective recovery were significant slower in women than in men. Conclusion: During HIIT, women may be more resistant to fatigue and have a greater ability to recover metabolically, but have a slower HR and subjective recovery.


2016 ◽  
Vol 33 (2) ◽  
pp. 139-144 ◽  
Author(s):  
Krzysztof Mazurek ◽  
Piotr Zmijewski ◽  
Krzysztof Krawczyk ◽  
Anna Czajkowska ◽  
Anna Kęska ◽  
...  

2020 ◽  
Vol 9 (4) ◽  
pp. 1136 ◽  
Author(s):  
Patrick Müller ◽  
Yves Duderstadt ◽  
Volkmar Lessmann ◽  
Notger G. Müller

Accumulating evidence from animal and human studies supports the notion that physical exercise can enhance neuroplasticity and thus reduce the risk of several neurodegenerative diseases (e.g., dementia). However, the underlying neurobiological mechanisms of exercise induced neuroplasticity are still largely unknown. One potential mediator of exercise effects is the neurotrophin BDNF, which enhances neuroplasticity via different pathways (e.g., synaptogenesis, neurogenesis, long-term potentiation). Current research has shown that (i) increased peripheral lactate levels (following high intensity exercise) are associated with increased peripheral BDNF levels, (ii) lactate infusion at rest can increase peripheral and central BDNF levels and (iii) lactate plays a very complex role in the brain’s metabolism. In this review, we summarize the role and relationship of lactate and BDNF in exercise induced neuroplasticity.


2018 ◽  
Vol 2 (1) ◽  
pp. 3-10
Author(s):  
Rachael N. Kemp ◽  
Roland Loh ◽  
Christopher C. F. Howe ◽  
Hannah J. Moir

1986 ◽  
Vol 27 (3) ◽  
pp. 487-492 ◽  
Author(s):  
Phyllis M. Klingensmith ◽  
Patricia Y. Hester ◽  
R. G. Elkin ◽  
C. R. Ward

2018 ◽  
Vol 30 (3) ◽  
pp. 345-352 ◽  
Author(s):  
Thomas Sawczuk ◽  
Ben Jones ◽  
Sean Scantlebury ◽  
Kevin Till

Purpose:To assess the relationships between training load, sleep duration, and 3 daily well-being, recovery, and fatigue measures in youth athletes.Methods:Fifty-two youth athletes completed 3 maximal countermovement jumps (CMJs), a daily well-being questionnaire (DWB), the perceived recovery status scale (PRS), and provided details on their previous day’s training loads (training) and self-reported sleep duration (sleep) on 4 weekdays over a 7-week period. Partial correlations, linear mixed models, and magnitude-based inferences were used to assess the relationships between the predictor variables (training and sleep) and the dependent variables (CMJ, DWB, and PRS).Results:There was no relationship between CMJ and training (r = −.09; ±.06) or sleep (r = .01; ±.06). The DWB was correlated with sleep (r = .28; ±.05, small), but not training (r = −.05; ±.06). The PRS was correlated with training (r = −.23; ±.05, small), but not sleep (r = .12; ±.06). The DWB was sensitive to low sleep (d = −0.33; ±0.11) relative to moderate; PRS was sensitive to high (d = −0.36; ±0.11) and low (d = 0.29; ±0.17) training relative to moderate.Conclusions:The PRS is a simple tool to monitor the training response, but DWB may provide a greater understanding of the athlete’s overall well-being. The CMJ was not associated with the training or sleep response in this population.


2020 ◽  
Vol 35 (11) ◽  
pp. 2613-2618
Author(s):  
D Vaamonde ◽  
A C Hackney ◽  
J M Garcia Manso ◽  
E Arriaza Ardiles ◽  
M Vaquero

Abstract STUDY QUESTION Can the exercise training load of elite male athletes influence the sex ratio of their offspring? SUMMARY ANSWER This is the first study assessing the influence of exercise training load on the offspring sex ratio of children from male professional athletes, observing a bias toward more females being born as a result of both high-intensity and high-volume loads, with intensity having the greatest effect. WHAT IS KNOWN ALREADY There is a relatively constant population sex ratio of males to females among various species; however, certain events and circumstances may alter this population sex ratio favoring one sex over the other. STUDY DESIGN, SIZE, DURATION Observational, descriptive cross-sectional study with a duration of 3 months. PARTICIPANTS/MATERIALS, SETTING, METHODS Seventy-five male professional soccer players from First Division soccer teams. Offspring variables were sex of the offspring, number of children and order of birth. Exercise training variables were volume and intensity. MAIN RESULTS AND THE ROLE OF CHANCE Total offspring was 122 children (52 males (42.6%), 70 females (57.4%)). Analysis revealed that increase in either the volume (P &lt; 0.001) or intensity (P &lt; 0.001) of training by the players shifted the birth offspring ratio more toward females. Within the sample of females born, more births (i.e. number) were observed as a consequence of training at the highest intensity (45 out of 70; P &lt; 0.001), no such pattern occurred within males (P &gt; 0.05). When female versus male births were compared within each intensity, only the high-intensity comparison was significant (45 (75%) females vs 15 (25%) males, P &lt; 0.001). LIMITATIONS, REASONS FOR CAUTION While this is the first study assessing differences in the sex ratio of the offspring of male athletes (i.e. soccer players), we acknowledge there are limitations and confounders within our approach; e.g. small sample size, ethnic background and variations in the timing of intercourse relative to ovulation as well as in sex hormone levels. As such, we propose that future research is needed to confirm or refute our findings. It is recommended that such work expand on the measurements obtained and conduct direct assessment of sperm characteristics. WIDER IMPLICATIONS OF THE FINDINGS The findings of the study support the fact that different stressors on the body may alter the sex of the offspring. While in the present study the stressor is the excessive training load of soccer players, other events may lead to similar results. The bias in offspring sex ratio may have important implications for demography and population dynamics, as well as genetic trait inheritance. STUDY FUNDING/COMPETING INTEREST(S) There is no funding nor competing interests. TRIAL REGISTRATION NUMBER N/A


2017 ◽  
Vol 39 (5) ◽  
pp. 3-13 ◽  
Author(s):  
Bill I. Campbell ◽  
Daniel Bove ◽  
Patrick Ward ◽  
Andres Vargas ◽  
Jeff Dolan

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