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 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.

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.

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 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 Morphological and Fitness Attributes of Young Male Portuguese Basketball Players: Normative Values According to Chronological Age and Years From Peak Height Velocity

2021 ◽  
Vol 3 ◽  
Author(s):  
Sérgio Antunes Ramos ◽  
Luis Miguel Massuça ◽  
Anna Volossovitch ◽  
António Paulo Ferreira ◽  
Isabel Fragoso
Keyword(s):  
Body Mass ◽  
Handgrip Strength ◽  
Young Male ◽  
Peak Height ◽  
Height Velocity ◽  
Chronological Age ◽  
Normative Values ◽  
Peak Height Velocity ◽  
Basketball Players ◽  
Arm Span

The aims of the present study were: (i) to describe the structural and functional attributes of young male Portuguese basketball players aged 12–16 years and (ii) to generate normative data according to chronological age and years from peak height velocity. A total of 281 male Portuguese young basketball players between the ages of 12 and 16 years were assessed in this study. Chronological age, maturity parameters (maturity offset and predicted age at peak height velocity), morphological (body mass, height, and skinfolds and length), and fitness (sprint, change of direction ability, jump, and upper body strength) attributes were measured. Descriptive statistics were determined for the age and maturity status, and the 10th, 25th, 50th, 75th, and 90th percentiles were chosen as reference values. Descriptive and normative values of the players' morphological and fitness attributes, stratified by age and maturity status, are provided. The normative values of age at peak height velocity (category YAPHV = 0) showed that regional basketball players presented average values (50th percentile) of 169.8 cm for height, 173.3 cm for arm span, 55.6 kg for body mass, 3.34 s for the 20-m speed test, 10.31 s for the T-test, 4.75 m for the 2-kg medicine ball throw, 66.9 kg for the combined right and left handgrip strength, and 30.1 and 35.9 cm for jump height in the countermovement jump (CMJ) and CMJ with arm swing, respectively. In conclusion, these results may be helpful to quantify and control an athlete's performance over time and to adjust strength and conditioning programs to biological demands.

scholarly journals Age differences in selected measures of physical fitness in young handball players

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242385
Author(s):  
Jaime Fernandez-Fernandez ◽  
Isidoro Martinez-Martin ◽  
Vicente Garcia-Tormo ◽  
Juan Garcia-Lopez ◽  
Mario Centeno-Esteban ◽  
...  
Keyword(s):  
Physical Fitness ◽  
Body Mass ◽  
Age Differences ◽  
Young Male ◽  
Peak Height ◽  
Height Velocity ◽  
Countermovement Jump ◽  
Peak Height Velocity ◽  
Sprint Time ◽  
Change Of Direction

Objective The aims of the present study were: 1) to calculate the change of direction (COD) deficit (using a modified version of the 505 test and 10 m sprint time), and (2) to examine the differences in linear sprint, jump and COD performances, as well as COD deficit, between under-13 (U13) and under-15 (U15) male handball players. Methods One hundred and nineteen young male handball players (under-13 [U13; n = 82] and under-15 [U15; n = 37]). Tests included anthropometric measurements, countermovement jump (CMJ), triple leg-hop for distance, linear sprint test (5, 10 and 20 m), and a modified version of the 505 COD test. Results Results showed moderate to very large differences (P < 0.05) in age, predicted age at peak height velocity (APHV), distance from PHV (DPHV), height, and body mass between the age categories. Moreover, U15 players demonstrated higher performances in all jump tests and lower sprint times in 10- (ES = 0.84) and 20-m (ES = 0.51) and a higher 505 deficit (ES = 0.38) than the U13 players (P < 0.05). However, no significant differences were observed for the 505 COD test between groups (ES = 0.12; P > 0.05). Conclusions Our results suggest that during the transition from pre- to post-puberty, young handball players should focus on transferring their progressive improvements in strength, speed, and power capacities to COD performance.

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 Sports injuries aligned to predicted mature height in highly trained Middle-Eastern youth athletes: a cohort study

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e023284 ◽  
Author(s):  
Abdallah Rejeb ◽  
Amanda Johnson ◽  
Abdulaziz Farooq ◽  
Ruth Verrelst ◽  
Samuel Pullinger ◽  
...  
Keyword(s):  
Cohort Study ◽  
Injury Risk ◽  
Middle Eastern ◽  
Peak Height ◽  
Height Velocity ◽  
Injury Incidence ◽  
Peak Height Velocity ◽  
Early Maturity ◽  
Youth Athletes ◽  
Individual Sports

ObjectivesTo investigate the association of maturity status with injury incidence in Middle-Eastern youth athletes.DesignProspective cohort study.SettingFour consecutive seasons (2010–2014), Aspire Academy, Qatar.ParticipantsMale athletes (age range: 11–18 years) representing four disciplines enrolled and grouped into two categories: individual sports and racquet sports.Outcome measuresInjury data collected over four seasons. Athletes’ anthropometric characteristics assessed to calculate age at peak height velocity. Predicted mature heights (PMHs) collected and categorised into four quartiles. Athletes had wrist and hand radiographs for assessment of skeletal age (SA). Early and late maturers with an SA of >1 year older or younger than their chronological age (CA).ResultsFor the sample (n=67) across all groups, 43 (64%) athletes had one or more injuries: total of 212 injuries, 4.9 injuries per athlete across study. Survival analysis of maturity status using SA found early maturing athletes had two-fold greater injury risk compared with late maturers (HR 2.04, 95% CI 1.15 to 3.61, p=0.015). PMH associated with injury risk (HR 1.05, 95% CI 1.01 to 1.08, p=0.006).Athletes in fourth quartile (≥184 cm) had up to two-fold injury risk (HR 2.41, 95% CI 1.42 to 4.08, p=0.001). Racquet and individual sports involved similar injury risk (HR 1.14, 95% CI 0.86 to 1.52, p=0.37).ConclusionSA early maturity and PMH gradient were significant predictors of injury in youths.

Growth, Maturation, and Exercise

2015 ◽  
Vol 27 (1) ◽  
pp. 3-7
Author(s):  
Jaak Jürimäe
Keyword(s):  
Peak Height ◽  
Height Velocity ◽  
Chronological Age ◽  
Leg Length ◽  
Peak Height Velocity ◽  
Male Youth ◽  
Youth Athletes ◽  
Sitting Height ◽  
Early Maturing ◽  
Mean Differences

This study attempted to validate an anthropometric equation for predicting age at peak height velocity (APHV) in 193 Polish boys followed longitudinally 8-18 years (1961-1972). Actual APHV was derived with Preece-Baines Model 1. Predicted APHV was estimated at each observation using chronological age (CA), stature, mass, sitting height and estimated leg length. Mean predicted APHV increased from 8 to 18 years. Actual APHV was underestimated at younger ages and overestimated at older ages. Mean differences between predicted and actual APHV were reasonably stable between 13 and 15 years. Predicted APHV underestimated actual APHV 3 years before, was almost identical with actual age 2 years before, and then overestimated actual age through 3 years after PHV. Predicted APHV did not differ among boys of contrasting maturity status 8-11 years, but diverged among groups 12-15 years. In conclusion, predicted APHV is influenced by CA and by early and late timing of actual PHV. Predicted APHV has applicability among average maturing boys 12-16 years in contrast to late and early maturing boys. Dependence upon age and individual differences in actual APHV limits utility of predicted APHV in research with male youth athletes and in talent programs.

scholarly journals Breakfast: A Crucial Meal for Adolescents’ Cognitive Performance According to Their Nutritional Status. The Cogni-Action Project

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1320
Author(s):  
Humberto Peña-Jorquera ◽  
Valentina Campos-Núñez ◽  
Kabir P. Sadarangani ◽  
Gerson Ferrari ◽  
Carlos Jorquera-Aguilera ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Cognitive Performance ◽  
Cognitive Demand ◽  
Positive Association ◽  
Peak Height ◽  
The Body ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
High Quality ◽  
Action Project

This study aimed to determine whether pupils who have breakfast just before a cognitive demand, do not regularly skip breakfast, and consume a high-quality breakfast present higher cognitive performance than those who do not; furthermore, to establish differences according to their nutritional status. In this study, 1181 Chilean adolescents aged 10–14 years participated. A global cognitive score was computed through eight tasks, and the body mass index z-score (BMIz) was calculated using a growth reference for school-aged adolescents. The characteristics of breakfast were self-reported. Analyses of covariance were performed to determine differences in cognitive performance according to BMIz groups adjusted to sex, peak height velocity, physical fitness global score, and their schools. A positive association was found in adolescents’ cognitive performance when they had breakfast just before cognitive tasks, did not regularly skip breakfast, presented at least two breakfast quality components, and included dairy products. No significant differences were found between breakfast components, including cereal/bread and fruits/fruit juice. Finally, pupils who were overweight/obese who declared that they skipped breakfast regularly presented a lower cognitive performance than their normal-BMIz peers. These findings suggest that adolescents who have breakfast just prior to a cognitive demand and regularly have a high quality breakfast have better cognitive performance than those who do not. Educative nutritional strategies should be prioritized, especially in “breakfast skippers” adolescents living with overweight/obesity.

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