scholarly journals The Effect of Autoregulated Flywheel and Traditional Strength Training on Training Load Progression and Motor Skill Performance in Youth Athletes

2021 ◽  
Vol 18 (7) ◽  
pp. 3479
Author(s):  
Niklas Westblad ◽  
Henrik Petré ◽  
Andreas Kårström ◽  
Niklas Psilander ◽  
Glenn Björklund
Keyword(s):  
Resistance Training ◽  
Strength Training ◽  
Motor Skill ◽  
Perceived Exertion ◽  
Training Load ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Post Intervention ◽  
Running Performance ◽  
Youth Athletes

Background: The effects of flywheel resistance training (FRT) on youth are relatively unknown. The aim of this study was to compare the effects of autoregulated FRT with traditional strength training (TST) on jumping, running performance and resistance training load progression in youth athletes. Thirty youth athletes (11.8 ± 0.9 yr) were matched for peak height velocity (PHV) status and block-randomised into two groups: FRT (n = 15, PHV −0.8 ± 1.6) and TST (n = 15, PHV −0.8 ± 1.5). Twelve resistance training sessions over a six-week intervention with flywheel or barbell squats were performed using autoregulated load prescription. Squat jump (SJ); countermovement jump (CMJ); and 10 m, 20 m and 30 m sprints were assessed pre- and post-intervention. The external load increased similarly for FRT and TST (z = 3.8, p = 0.06). SJ increased for both groups (p < 0.05) but running performance was unaffected (p > 0.05). Conclusions: FRT resulted in similar load progression and motor skill development in youth athletes as TST, but the perceived exertion was less. Autoregulation is a practical method for adjusting training load during FRT and should be considered as an alternative to autoregulated TST.

Effects of 6 Weeks Resistance Training Combined With Plyometric and Speed Exercises on Physical Performance of Pre-Peak-Height-Velocity Soccer Players

2016 ◽  
Vol 11 (2) ◽  
pp. 240-246 ◽  
Author(s):  
David Rodríguez-Rosell ◽  
Felipe Franco-Márquez ◽  
Fernando Pareja-Blanco ◽  
Ricardo Mora-Custodio ◽  
Juan M. Yáñez-García ◽  
...  
Keyword(s):  
Resistance Training ◽  
Strength Training ◽  
Physical Performance ◽  
Peak Height ◽  
Sprint Performance ◽  
Soccer Players ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Low Load ◽  
Low Volume

Purpose:To analyze the effects of low-load, high-velocity resistance training (RT) combined with plyometrics on physical performance in pre-peak-height-velocity (PHV) soccer players.Methods:Thirty young soccer players from the same academy were randomly assigned to either a strength training (STG, n = 15) or a control group (CG, n = 15). Strength training consisted of full squat exercise with low load (45–58% 1RM) and low volume (4–8 repetitions/set) combined with jumps and sprints twice a week over 6 wk of preseason. The effect of the training protocol was assessed using sprint performance over 10 and 20 m, countermovement jump, estimated 1-repetition maximum, and average velocity attained against all loads common to pre- and posttests in full squat.Results:STG showed significant improvements (P = .004–.001) and moderate to very large standardized effects (ES = 0.71–2.10) in all variables measured, whereas no significant gains were found in CG (ES = –0.29 to 0.06). Moreover, significant test × group interactions (P < .003–.001) and greater between-groups ESs (0.90–1.97) were found for all variables in favor of STG compared with CG.Conclusion:Only 6 wk of preseason low-volume and low-load RT combined with plyometrics can lead to relevant improvements in strength, jump, and sprint performance. Thus, the combination of field soccer training and lightweight strength training could be used for a greater development of the tasks critical to soccer performance in pre-PHV soccer players.

scholarly journals Predictive Analytic Techniques to Identify Hidden Relationships between Training Load, Fatigue and Muscle Strains in Young Soccer Players

Sports ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 3
Author(s):  
Mauro Mandorino ◽  
António J. Figueiredo ◽  
Gianluca Cima ◽  
Antonio Tessitore
Keyword(s):  
Area Under The Curve ◽  
Predictive Ability ◽  
Peak Height ◽  
Neuromuscular Fatigue ◽  
Training Load ◽  
Soccer Players ◽  
Height Velocity ◽  
Support Vector ◽  
Peak Height Velocity ◽  
Injury Surveillance System

This study aimed to analyze different predictive analytic techniques to forecast the risk of muscle strain injuries (MSI) in youth soccer based on training load data. Twenty-two young soccer players (age: 13.5 ± 0.3 years) were recruited, and an injury surveillance system was applied to record all MSI during the season. Anthropometric data, predicted age at peak height velocity, and skeletal age were collected. The session-RPE method was daily employed to quantify internal training/match load, and monotony, strain, and cumulative load over the weeks were calculated. A countermovement jump (CMJ) test was submitted before and after each training/match to quantify players’ neuromuscular fatigue. All these data were used to predict the risk of MSI through different data mining models: Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM). Among them, SVM showed the best predictive ability (area under the curve = 0.84 ± 0.05). Then, Decision tree (DT) algorithm was employed to understand the interactions identified by the SVM model. The rules extracted by DT revealed how the risk of injury could change according to players’ maturity status, neuromuscular fatigue, anthropometric factors, higher workloads, and low recovery status. This approach allowed to identify MSI and the underlying risk factors.

scholarly journals Improvement of Physical Performance Following a 6 Week Change-of-Direction Training Program in Elite Youth Soccer Players of Different Maturity Levels

2021 ◽  
Vol 12 ◽  
Author(s):  
Dorsaf Sariati ◽  
Raouf Hammami ◽  
Hassane Zouhal ◽  
Cain C. T. Clark ◽  
Ammar Nebigh ◽  
...  
Keyword(s):  
Training Program ◽  
Effect Size ◽  
Soccer Players ◽  
Height Velocity ◽  
Adherence Rate ◽  
Peak Height Velocity ◽  
Post Intervention ◽  
Significant Group ◽  
Youth Soccer ◽  
Change Of Direction

Background: Change-of-direction (CoD) is a necessary physical ability of a field sport and may vary in youth players according to their maturation status.Objectives: The aim of this study is: to compare the effectiveness of a 6-week CoD training intervention on dynamic balance (CS-YBT), horizontal jump (5JT), speed (10 and 30-m linear sprint times), CoD with (15 m-CoD + B) and without (15 m-CoD) the ball, in youth male soccer players at different levels of maturity [pre- and post-peak height velocity (PHV)].Materials and Methods: Thirty elite male youth soccer players aged 10–17 years from the Tunisian first division participated in this study. The players were divided into pre- (G1, n = 15) and post-PHV (G2, n = 15) groups. Both groups completed a similar 6-week training program with two sessions per week of four CoD exercises. All players completed the following tests before and after intervention: CS-YBT; 5 JT; 10, 30, and 15 m-CoD; and 15 m-CoD + B, and data were analyzed using ANCOVA.Results: All 30 players completed the study according to the study design and methodology. Adherence rate was 100% across all groups, and no training or test-related injuries were reported. Pre-PHV and post-PHV groups showed significant amelioration post-intervention for all dependent variables (after test &gt; before test; p &lt; 0.01, d = 0.09–1.51). ANOVA revealed a significant group × time interaction only for CS-YBT (F = 4.45; p &lt; 0.04; η2 = 0.14), 5JT (F = 6.39; p &lt; 0.02; η2 = 0.18), and 15 m-CoD (F = 7.88; p &lt; 0.01; η2 = 0.22). CS-YBT, 5JT, and 15 m-CoD improved significantly in the post-PHV group (+ 4.56%, effect size = 1.51; + 4.51%, effect size = 1.05; and -3.08%, effect size = 0.51, respectively), more than the pre-PHV group (+ 2.77%, effect size = 0.85; + 2.91%, effect size = 0.54; and -1.56%, effect size = 0.20, respectively).Conclusion: The CoD training program improved balance, horizontal jump, and CoD without the ball in male preadolescent and adolescent soccer players, and this improvement was greater in the post-PHV players. The maturity status of the athletes should be considered when programming CoD training for soccer players.

scholarly journals Effects of Maturation on Lower Limb Neuromuscular Asymmetries in Elite Youth Tennis Players

Sports ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 106 ◽  
Author(s):  
Marc Madruga-Parera ◽  
Daniel Romero-Rodríguez ◽  
Chris Bishop ◽  
Maria Reyes Beltran-Valls ◽  
Alex T. Latinjak ◽  
...  
Keyword(s):  
Peak Height ◽  
Composite Score ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Biological Index ◽  
Balance Test ◽  
Tennis Players ◽  
Youth Athletes ◽  
Training Interventions ◽  
Jumping Test

Neuromuscular asymmetries have been previously associated with reduced performance. Similarly, maturation has shown that youth athletes may experience a loss of motor control, which could also lead to compromised physical performance. The present study aimed to evaluate and quantify the level of asymmetry among chronological and maturational groups. Forty-one youth tennis players performed the single leg countermovement jump (SLCMJ), star excursion balance test (SEBT) and a change of direction speed (CODS) test. Differences were found between the strongest and weakest limbs across all tests (p < 0.001), and also for SEBT in the posteromedial direction (p = 0.02), SEBT composite score (p < 0.01) in maturation groups, and for SEBT posterolateral direction (p = 0.03) and SEBT composite score (p = 0.01) in chronological groups. The SLCMJ showed the largest inter-limb asymmetries for the circa peak height velocity (PHV) group (19.31 ± 12.19%) and under-14 (U14) group (17.55 ± 9.90%). Chronological and maturation groups followed similar trends for inter-limb asymmetries, but the biological index showed larger asymmetry scores in the jumping test at PHV compared to that found in the chronological group (U14). These results show that inter-limb differences may be heightened during PHV. Practitioners can use this information to inform the decision-making process when prescribing training interventions in youth tennis players.

Associations Between Balance and Muscle Strength, Power Performance in Male Youth Athletes of Different Maturity Status

2016 ◽  
Vol 28 (4) ◽  
pp. 521-534 ◽  
Author(s):  
Raouf Hammami ◽  
Anis Chaouachi ◽  
Issam Makhlouf ◽  
Urs Granacher ◽  
David G. Behm
Keyword(s):  
Muscle Strength ◽  
Dynamic Balance ◽  
Correlation Coefficients ◽  
Young Male ◽  
Peak Height ◽  
Height Velocity ◽  
Power Performance ◽  
Peak Height Velocity ◽  
Youth Athletes ◽  
Back Extensor

Balance, strength and power relationships may contain important information at various maturational stages to determine training priorities. Purpose:The objective was to examine maturity-specific relationships of static/dynamic balance with strength and power measures in young male athletes.Methods:Soccer players (N = 130) aged 10–16 were assessed with the Stork and Y balance (YBT) tests. Strength/power measures included back extensor muscle strength, standing long jump (SLJ), countermovement jump (CMJ), and 3-hop jump tests. Associations between balance with strength/power variables were calculated according to peak-height-velocity (PHV).Results:There were significant medium-large sized correlations between all balance measures with back extensor strength (r = .486–.791) and large associations with power (r = .511–.827). These correlation coefficients were significantly different between pre-PHV and circa PHV as well as pre-PHV and post-PHV with larger associations in the more mature groups. Irrespective of maturity-status, SLJ was the best strength/power predictor with the highest proportion of variance (12–47%) for balance (i.e., Stork eyes opened) and the YBT was the best balance predictor with the highest proportion of variance (43–78%) for all strength/power variables.Conclusion:The associations between balance and muscle strength/power measures in youth athletes that increase with maturity may imply transfer effects from balance to strength/power training and vice versa in youth athletes.

scholarly journals Understanding the Mismatch Between Coaches’ and Players’ Perceptions of Exertion

2017 ◽  
Vol 12 (4) ◽  
pp. 562-568 ◽  
Author(s):  
Michel S. Brink ◽  
Anna W. Kersten ◽  
Wouter G.P. Frencken
Keyword(s):  
Perceived Exertion ◽  
Peak Height ◽  
Rating Of Perceived Exertion ◽  
Height Velocity ◽  
Endurance Capacity ◽  
Peak Height Velocity ◽  
Heart Rate Monitors ◽  
The Mean ◽  
Run Test ◽  
Shuttle Run

A mismatch between the training exertion intended by a coach and the exertion perceived by players is well established in sports. However, it is unknown whether coaches can accurately observe exertion of individual players during training. Furthermore, the discrepancy in coaches’ and players’ perceptions has not been explained.Purpose:To determine the relation between intended and observed training exertion by the coach and perceived training exertion by the players and establish whether on-field training characteristics, intermittent endurance capacity, and maturity status explain the mismatch.Methods:During 2 mesocycles of 4 wk (in November and March), rating of intended exertion (RIE), rating of observed exertion (ROE), and rating of perceived exertion (RPE) were monitored in 31 elite young soccer players. External and internal training loads were objectively quantified with accelerometers (PlayerLoad) and heart-rate monitors (TRIMPmod). Results of an interval shuttle-run test (ISRT) and age at peak height velocity (APHV) were determined for all players.Results:RIE, ROE, and RPE were monitored in 977 training sessions. The correlations between RIE and RPE (r = .58; P < .01) and between ROE and RPE (r = .64; P < .01) were moderate. The mean difference between RIE and RPE was –0.31 ± 1.99 and between ROE and RPE was –0.37 ± 1.87. Multilevel analyses showed that PlayerLoad and ISRT predicted RIE and ROE.Conclusion:Coaches base their intended and observed exertion on what they expect players will do and what they actually did on the field. When doing this, they consider the intermittent endurance capacity of individual players.

scholarly journals Improving the Prediction of Maturity From Anthropometric Variables Using a Maturity Ratio

2018 ◽  
Vol 30 (2) ◽  
pp. 296-307 ◽  
Author(s):  
Job Fransen ◽  
Stephen Bush ◽  
Stephen Woodcock ◽  
Andrew Novak ◽  
Dieter Deprez ◽  
...  
Keyword(s):  
Akaike Information Criterion ◽  
Nonlinear Models ◽  
Information Criterion ◽  
Peak Height ◽  
Prediction Equation ◽  
Original Model ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
New Model ◽  
Youth Athletes

Purpose:This study aimed to improve the prediction accuracy of age at peak height velocity (APHV) from anthropometric assessment using nonlinear models and a maturity ratio rather than a maturity offset.Methods:The dataset used to develop the original prediction equations was used to test a new prediction model, utilizing the maturity ratio and a polynomial prediction equation. This model was then applied to a sample of male youth academy soccer players (n = 1330) to validate the new model in youth athletes.Results:A new equation was developed to estimate APHV more accurately than the original model (new model: Akaike information criterion: −6062.1,R2 = 90.82%; original model: Akaike information criterion = 3048.7,R2 = 88.88%) within a general population of boys, particularly with relatively high/low APHVs. This study has also highlighted the successful application of the new model to estimate APHV using anthropometric variables in youth athletes, thereby supporting the use of this model in sports talent identification and development.Conclusion:This study argues that this newly developed equation should become standard practice for the estimation of maturity from anthropometric variables in boys from both a general and an athletic population.

scholarly journals The current landscape of youth multi-sport training: athlete and parent insight data

2021 ◽  
pp. 174795412110418
Author(s):  
Nicola J Robinson ◽  
Stephen J McQuilliam ◽  
Timothy F Donovan ◽  
Carl Langan-Evans ◽  
Amy Whitehead
Keyword(s):  
Muscle Soreness ◽  
Perceived Exertion ◽  
Training Load ◽  
Individual Development ◽  
Structured Interviews ◽  
Youth Athletes ◽  
Sport Training ◽  
Session Duration ◽  
Weekly Training ◽  
Sport Mode

The intent to improve a youth athlete’s ability is developed through structured focused training in the competencies within their sport. To date there is little evidence around how multi-discipline youth athletes organise their training load (TL) outlook in a multitude of sports. The aim of this study was to analyse the daily TL, distribution and wellness in aspiring 10-15yr old pentathletes (n = 31) over 152 ± 35 days. Athletes completed daily reports documenting sport mode, session duration, session rate of perceived exertion (sRPE) and wellness (sleep, stress, mood, fatigue, muscle soreness). Parental understanding of training periodisation was used to contextualise the athletes training patterns (n = 15) through semi-structured interviews. Weekly training duration was 5 h 59 min ± 3 h 38 min. The swimming discipline dominates the overall time spent training (50.5%). Pentathlon specific TL was significantly higher in the 14–15 yrs (3000 ± 1207 AUT) in comparison to 10–11 yrs (1837 ± 874 AUT). Weekly micro TL fluctuations showed significant peaks on the weekend compared to Tuesday and Friday (p < 0.05). Wellness scores were significantly worse on Monday to Wednesdays (p < 0.05), compared to Fridays. Parent interviews suggest a multitude of coach input from solo disciplines over a typical week, with little inter-coach discussions. In conclusion there is little structure on a micro or macro level in youth pentathletes training showing multiple-coach input with little coach crossover. Implications for the training/competition is based around convenience/holidays/availability of resources rather than overall individual development, which suggests the potential need for an early specialisation approach to support athletes within this style of multi-discipline sport.

Specific warm-up enhances movement velocity during bench press and squat resistance training

2021 ◽  
Keyword(s):  
Resistance Training ◽  
Perceived Exertion ◽  
Bench Press ◽  
Peak Velocity ◽  
Random Order ◽  
Training Load ◽  
Training Methods ◽  
Ratings Of Perceived Exertion ◽  
Movement Velocity ◽  
Warm Up

Background and objective: The purpose of this study was to investigate the effect of specific warm-up on squat and bench press resistance training. Methods: Thirty-four resistance-trained males (23.53 ± 2.35 years) participated in the current study. Among these, 12 were evaluated in the squat and 22 in the bench press. After determining the maximal strength load (1RM), each participant performed a training set (3 × 6 repetitions) with 80%1RM (training load) after completing a specific warm-up and without warming up, in random order. The warm-up comprised 2 × 6 repetitions with 40% and 80% of the training load, respectively. Mean propulsive velocity, velocity loss, peak velocity, mechanical power, work, heart rate and ratings of perceived exertion were assessed. Results: The results showed that after the warm-up, the participants were able to perform the squat and bench press at a higher mean propulsive velocity in the first set (squat: 0.68 ± 0.05 vs. 0.64 ± 0.06 m·s−1, p = 0.009, ES = 0.91; bench press: 0.52 ± 0.06 vs. 0.47 ± 0.08 m·s−1, p = 0.02, ES = 0.56). The warm-up positively influenced the peak velocity (1.32 ± 0.12 vs. 1.20 ± 0.11 m·s−1, p = 0.001, ES = 1.23) and the time to reach peak velocity (593.75 ± 117.01 vs. 653.58 ± 156.53 ms, p = 0.009, ES = 0.91) during the squat set. Conclusion: The specific warm-up seems to enhance neuromuscular actions that enable a higher movement velocity during the first training repetitions and to allow greater peak velocities in less time.

scholarly journals Validity of Retrospective Session Rating of Perceived Exertion to Quantify Training Load in youth Athletes

2018 ◽  
Vol 32 (7) ◽  
pp. 1975-1980 ◽  
Author(s):  
Sean Scantlebury ◽  
Kevin Till ◽  
Tom Sawczuk ◽  
Padraic Phibbs ◽  
Ben Jones
Keyword(s):  
Perceived Exertion ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Youth Athletes
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