scholarly journals Associations Between Variations in Accumulated Workload and Physiological Variables in Young Male Soccer Players Over the Course of a Season

2021 ◽  
Vol 12 ◽  
Author(s):  
Hadi Nobari ◽  
Ana Ruivo Alves ◽  
Filipe Manuel Clemente ◽  
Jorge Pérez-Gómez ◽  
Cain C. T. Clark ◽  
...  
Keyword(s):  
Strong Association ◽  
Body Height ◽  
Young Male ◽  
Peak Height ◽  
Soccer Players ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Intermediate Period ◽  
Physiological Variables ◽  
Fitness Levels

This study sought to analyze the relationship between in-season training workload with changes in aerobic power (VO2max), maximum and resting heart rate (HRmax and HRrest), linear sprint medium (LSM), and short test (LSS), in soccer players younger than 16 years (under-16 soccer players). We additionally aimed to explain changes in fitness levels during the in-season through regression models, considering accumulated load, baseline levels, and peak height velocity (PHV) as predictors. Twenty-three male sub-elite soccer players aged 15.5 ± 0.2 years (PHV: 13.6 ± 0.4 years; body height: 172.7 ± 4.2 cm; body mass: 61.3 ± 5.6 kg; body fat: 13.7% ± 3.9%; VO2max: 48.4 ± 2.6 mL⋅kg–1⋅min–1), were tested three times across the season (i.e., early-season (EaS), mid-season (MiS), and end-season (EnS) for VO2max, HRmax, LSM, and LSS. Aerobic and speed variables gradually improved over the season and had a strong association with PHV. Moreover, the HRmax demonstrated improvements from EaS to EnS; however, this was more evident in the intermediate period (from EaS to MiS) and had a strong association with VO2max. Regression analysis showed significant predictions for VO2max [F(2,20) = 8.18, p ≤ 0.001] with an R2 of 0.45. In conclusion, the meaningful variation of youth players’ fitness levels can be observed across the season, and such changes can be partially explained by the load imposed.

Is the Relationship Between Sprinting and Maximal Aerobic Speeds in Young Soccer Players Affected by Maturation?

2010 ◽  
Vol 22 (4) ◽  
pp. 497-510 ◽  
Author(s):  
Alberto Mendez-Villanueva ◽  
Martin Buchheit ◽  
Sami Kuitunen ◽  
Tsz Kit Poon ◽  
Ben Simpson ◽  
...  
Keyword(s):  
Body Mass ◽  
Allometric Scaling ◽  
Young Male ◽  
Peak Height ◽  
Soccer Players ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Positive Correlations ◽  
The Relationship

The purpose of this study was to investigate the relationship between maximal sprinting (MSS) and aerobic (MAS) speeds in a cohort of highly-trained young male soccer players with the influence of body mass controlled for using allometric scaling. MSS and MAS were obtained in 14 pre-age at peak height velocity (APHV) players (12.3 ± 0.7 years), 21 circum-APHV players (14.3 ± 0.9 year) and 26 post-APHV players (16.9 ± 0.7 years). The three groups showed similar positive correlations between MSS and MAS (r = 0.73 to 0.52; p < .01). In conclusion, our results suggest that the relationship between MSS and MAS is not affected by maturation.

scholarly journals Influence of biological maturation on speed, jump, and endurance in high-level youth soccer players

2020 ◽  
Vol 42 ◽  
Author(s):  
Jorge L. C. Marinho ◽  
André O. Martins ◽  
Ezequiel Rey ◽  
Sixto González-Víllora
Keyword(s):  
Vertical Jump ◽  
Young Male ◽  
Peak Height ◽  
Soccer Players ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Speed Test ◽  
Test Distance ◽  
Effective Development ◽  
High Level

ABSTRACT The goal of this study is to identify the influence of the maturity state in the physical components of the high level youth male soccer players of an elite club in Brazil. Eighty-seven young male soccer players participated in this study, distributed in 34 U-14 players, 23 U-16 players and 30 U-19 players. Peak height velocity (PHV) was estimated: Pre-PHV (<-1.0 years, n=13), mid-PHV (-0.99 to 0.5 years, n=41), and post-PHV (>0.5 years, n=33). Running-based anaerobic sprint test, squat jump, yo-yo and 30m speed test were performed. The results of this study suggest that the maturational development influences vertical jump. VO2max, yo-yo test distance, fatigue index and power. This information is essential for the identification and effective development of talented football players.

scholarly journals Young soccer players with higher somatic maturation are stronger, more powerful and faster than those with lower maturation

1989 ◽  
Author(s):  
Mauricio Teixeira ◽  
◽  
Alexandre Igor Araripe Medeiros ◽  
Mário Antônio de Moura Simim ◽  
Cláudio de Oliveira Assumpção
Keyword(s):  
Body Height ◽  
Anaerobic Power ◽  
Peak Height ◽  
Sport Performance ◽  
Soccer Players ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Before And After ◽  
Maturation Stages ◽  
Physical Capacities

The identification of young soccer players’ maturation level throughout puberty is crucial to verify the influence of aspects that interfere on sport performance, such as body height and physical capacities. The aim of the present study was to verify the differences in physical performance of young soccer players in maturation stages before and after peak height velocity. This study comprised 49 soccer players (14.49 ± 1.00 yrs) belonging to the youth teams of a club in the city of Fortaleza. Body weight, height and trunk-cephalic height were measured. Somatic maturation was estimated using distance in years from peak height velocity (DPHV). 10 Meters Sprint and 20 Meter Flying Sprint, Modified Illinois, Jump Height (CMJ), RAST and Yo Yo IRT 1 tests were applied. Standardized Mean Difference (SMD) and Confidence Intervals (CI = 90%) were used to compare the study variables (PRE-PHV vs POST-PHV). Our findings showed that POST-PHV group showed higher values in CMJ (3/3/97, Very likely) and RAST (peak, average, minimum power) and lower in the 20 Meter Flying Sprint (100/0/0, Most Likely) when compared to the PRE-PHV group. We concluded that young soccer players with somatic maturation after peak height velocity presented better capacity of lower limb strength, anaerobic power and speed.

scholarly journals Relationship Between Tactical Performance, Somatic Maturity and Functional Capabilities in Young Soccer Players

2018 ◽  
Vol 64 (1) ◽  
pp. 160-169 ◽  
Author(s):  
Paulo Henrique Borges ◽  
Sean Cumming ◽  
Enio R.V. Ronque ◽  
Felippe Cardoso ◽  
Ademar Avelar ◽  
...  
Keyword(s):  
Body Height ◽  
Peak Height ◽  
Soccer Players ◽  
Height Velocity ◽  
Functional Fitness ◽  
State University ◽  
Linear Regression Models ◽  
Peak Height Velocity ◽  
Functional Capabilities ◽  
Handgrip Test

Abstract The aim of the study was to investigate the relationship between tactical performance, somatic maturity, and functional capabilities in young soccer players. Study participants were 48 soccer players (14.80 ± 1.5 years) belonging to an extension project at the State University of Maringa - Brazil. Anthropometric measurements of body mass, body height, and sitting height were carried out. The number of years to peak height velocity (PHV) was used as an index of maturation. Evaluations of functional fitness included the following tests: sit-and-reach, Yo-Yo Intermittent Recovery Test Level 1, handgrip test, modified abdominal test, and vertical jumps (Counter Movement Jump and Jump Squat). Tactical performance was assessed through the System of Tactical Assessment in Soccer (FUT-SAT). Multiple Linear Regression models were used to estimate the relative contributions of functional and maturational capacities to tactical performance. The results indicated weak associations between the tactical performance indices and somatic maturity, functional capacity, and anthropometric attributes (r < 0.40). The Yo-Yo Test contributed to 36% of the defensive tactic performance variation in the under 13 category. These results suggest that the level of maturity, growth status, and functional fitness have limited impact on tactical performance of young soccer players.

scholarly journals Injury Risk and Injury Burden Are Related to Age Group and Peak Height Velocity Among Talented Male Youth Soccer Players

2018 ◽  
Vol 6 (12) ◽  
pp. 232596711881104 ◽  
Author(s):  
Hans Jan Bult ◽  
Maarten Barendrecht ◽  
Igor Joeri Ramon Tak
Keyword(s):  
Injury Risk ◽  
Age Groups ◽  
Peak Height ◽  
Soccer Players ◽  
Height Velocity ◽  
Incidence Density ◽  
Chronological Age ◽  
Peak Height Velocity ◽  
The Mean ◽  
Injury Burden

Background: The relationship between injury risk (IR) in age groups and periods around peak height velocity (PHV) remains unclear. PHV is defined as the moment of the largest increase in body height. Purpose: To investigate injury risk and injury burden as functions of growth velocity (periods around PHV) and chronological age groupings (under 12 years [U12] to U19) in talented youth male soccer players. Study Design: Cohort study; Level of evidence, 2. Methods: A total of 170 players from the youth academy of a Dutch soccer club (highest professional league: Eredivisie) were observed for 1 to 3 seasons. Injuries, exposure, PHV age, and chronological age were registered. The injury incidence density (IID) and injury burden per 1000 hours of soccer participation, with 95% CIs, were calculated for 5 PHV periods and 7 age groups. These were compared with the overall cohort results using incidence ratios (IRs) and burden ratios (BRs) with 95% CIs. Results: The mean age at PHV was 14.4 ± 0.65 years (range, 12.8-16.5 years). The mean IID for the total cohort was 8.34 injuries per 1000 hours (95% CI, 7.71-9.02). Compared with the overall mean, a significantly higher IID was found for PHV period 4+5 (IR, 1.31 [95% CI, 1.00-1.71]; P = .049) and for the U15 group (IR, 1.49 [95% CI, 1.24-1.79]; P < .001). The overall injury burden was 58.37 injury days per 1000 hours (95% CI, 56.66-60.13). In PHV period 4+5, the injury burden was significantly higher (BR, 1.53 [95% CI, 1.39-1.68]; P < .001) when compared with the overall mean. Also, compared with the overall mean, the injury burden was higher in the U16 (BR, 1.48 [95% CI, 1.39-1.58]; P < .001), U15 (BR, 1.28 [95% CI, 1.19-1.38]; P < .001), and U17 groups (BR, 1.21 [95% CI, 1.13-1.31]; P < .001). Conclusion: Talented young soccer players were more prone to injuries during the 6 months after PHV (31% above overall mean) as well as in the U15 group (49% above overall mean). Based on the higher injury burden in the U16 (48%), U15 (28%), and U17 (21%) groups, we suggest that research on injury risk factors and preventive measures should primarily target these age groups. Additional interventions based on PHV may be of limited value from a screening perspective. Further research is needed on the interaction between age groups and PHV periods.

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 Ossification of the phalanges of the foot and its relationship to peak height velocity and the calcaneal system

2018 ◽  
Vol 12 (1) ◽  
pp. 84-90 ◽  
Author(s):  
M. R. Garcia ◽  
A. D. Nicholson ◽  
A. M. Nduaguba ◽  
J. O. Sanders ◽  
R. W. Liu ◽  
...  
Keyword(s):  
Skeletal Maturity ◽  
Strong Association ◽  
Intraclass Correlation ◽  
Bone Age ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Guided Growth ◽  
Significant Difference ◽  
Stage System

Purpose There are multiple skeletal maturity grading systems, but none of them utilizes the phalanges of the foot. To minimize radiation, it would be ideal if one could assess the skeletal maturity of a foot based on bones seen on routine foot radiographs, if guided growth is being considered as a treatment option. We developed a system that correlates changes of the appearance of the foot phalanges to peak height velocity (PHV) and the recently described calcaneal apophyseal ossification grading system. Methods We selected 94 children from the Bolton-Brush study, each with consecutive radiographs from age ten to 15 years old. Using the anteroposterior view, we analyzed the ossification patterns of the phalanges and developed a six-stage system. We then determined the PHV for each subject and defined its relationship with our system. Our system was then compared with the previously established calcaneal system. Results We calculated an Intraclass correlation coefficient (ICC) range of 0.957 to 0.985 with a mean of 0.975 and interclass reliability coefficient of 0.993 indicating that this method is reliable and consistent. Our system showed no significant difference between gender with respect to PHV, which makes it a reliable surrogate for determining bone age in paediatric and adolescent patients. Conclusions Our system has a strong association with the calcaneal system. It is a simple six-stage system that is reliable and correlated more strongly with PHV than chronological age. The system requires knowledge of the ossification markers used for each stage but is easily used in a clinical setting.

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 Assessing Differences in Cardiorespiratory Fitness With Respect to Maturity Status in Highly Trained Youth Soccer Players

2018 ◽  
Vol 30 (2) ◽  
pp. 216-228 ◽  
Author(s):  
Greg Doncaster ◽  
John Iga ◽  
Viswanath Unnithan
Keyword(s):  
Oxygen Uptake ◽  
Cardiorespiratory Fitness ◽  
Peak Height ◽  
Peak Oxygen Uptake ◽  
Running Economy ◽  
Fat Free Mass ◽  
Soccer Players ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Youth Soccer

Purpose: The purpose of the study was to examine differences in measures of cardiorespiratory fitness and determinants of running economy with respect to maturity status in a group of highly trained youth soccer players. Methods: A total of 21 highly trained youth soccer players participated in this study. On separate visits, players’ peak oxygen uptake (VO2peak), running economy at 3 different speeds [8 km·h−1, 80% gaseous exchange threshold (GET), and 95% GET], and pulmonary oxygen uptake (VO2) kinetics were determined. Players also performed a Yo-Yo intermittent recovery test level 1 (Yo-Yo IR1). Players were categorized as either “pre-PHV” (peak height velocity) or “mid-PHV” group using the measure of maturity offset. Independent t tests and Cohen’s d effect sizes were then used to assess differences between groups. Results: The mid-PHV group was significantly taller, heavier, and advanced in maturity status. Absolute measures of VO2peak were greater in the mid-PHV group; however, when expressed relative to body mass, fat-free mass, and theoretically derived exponents, VO2peak values were similar between groups. Pre-PHV group presented a significantly reduced VO2 response, during relative submaximal running speeds, when theoretically derived exponents were used, or expressed as %VO2peak. VO2 kinetics (tau) were faster during a low (standing) to moderate (95% GET) transition in the pre-PHV group. Yo-Yo IR1 performance was similar between groups. Conclusion: Although measures of VO2peak and Yo-Yo IR1 performance are shown to be similar between groups, those categorized as pre-PHV group display a superior running economy at relative submaximal running speeds and faster taus during a low to moderate exercise transition than their more mature counterparts.

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