scholarly journals COMPARATIVE ANALYSIS OF THE ANTHROPOMETRIC CHARACTERISTICS, PHYSICAL PREPAREDNESS AND TECHNICAL SKILLS OF 14-YEAR-OLD BASKETBALL PLAYERS – BOYS AND GIRLS

2020 ◽  
Vol 1 (2020) ◽  
pp. 46-63
Author(s):  
Mariana Borukova ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 14-29
Author(s):  
Ali Fatahi ◽  
◽  
Behshad Panjehzadeh ◽  
Zahrah Koreli‌ ◽  
◽  
...  

Objective: This study aimed to Compare parametric indices of anthropometric and biomechanical characteristics of female basketball, volleyball, and handball players. Methods: This research is purposive comparative-descriptive study. A total of 100 female students (35 handball players, 37 volleyball players, and 28 basketball players) participated in this study. The normality of the data distribution was examined using the Kolmogorov-Smirnov test. The Mean±SD and percentage rank to describe the information, multiple correlation coefficient to reduce the overlapping data, and analysis of the main components of the data to determine the leading indicators of anthropometric and biomechanical characteristics of female handball, volleyball, and basketball players and ANOVA was used to compare the corresponding leading indices in different age groups. Results: Ten parameters for female handball and volleyball players and nine parameters for female basketball players were highlighted as the leading indicators. Head width, leg length, ankle width, scapular fat for basketball and handball players, biceps and weight for handball and volleyball players, abdominal fat, leg length for volleyball and basketball players, and height introduced as the leading common indicators among all groups of players. The results related to the variance extracted in each of the main components of anthropometric features after rotation showed that the main parameters related to anthropometric characteristics in female handball players are: height, weight, knee-to-ground height, head width, Head circumference, waist circumference, leg length, ankle width, scapular fat, and biceps fat; in female volleyball players are: height, weight, trunk width at the navel, sitting pelvis width, elbow circumference, knee circumference, foot arc circumference, leg length, biceps fat, triceps fat; in female basketball players are: height, elbow circumference, head width, trunk circumference at chest level, trunk circumference at navel level, leg length, ankle width, scapular fat, and abdominal fat; and in players of the three groups of athletes are: height, knee-to-ground height, elbow circumference, head circumference, waist circumference, trunk circumference at chest level, scapular fat and maximum forearm circumference. Conclusion: The height is the leading standard index between different female handball, volleyball, and basketball players. Most of the anthropometric characteristics are various, related to the type of sport. Also, the biomechanical characteristics vary according to the unique skills in each discipline. In some sports, the biomechanical factors vary due to the features of the common sport and the design of specific training programs. Every sport needs to evaluate and study the anthropometric and biomechanical aspects of individuals.


2018 ◽  
Vol 2 (4) ◽  
pp. 89-92
Author(s):  
Spasoje Spaic ◽  
◽  
Velisa Vukasevic ◽  
Bojan Masanovic ◽  
◽  
...  

2012 ◽  
Vol 3 (8) ◽  
pp. 157-158
Author(s):  
S. RAJESH KARTHI ◽  
◽  
Dr. S. KRISHNAKANTHAN Dr. S. KRISHNAKANTHAN

Author(s):  
Jorge Lorenzo Calvo ◽  
Jorge García-González ◽  
Monica Flo García ◽  
Daniel Mon-López

Basketball is a sport in which, beyond the physical and technical skills, the psychological aspects are a decisive factor and could negatively affect the well-being of the player. The present study analyzes how 11 items belonging to two stakeholders (coach and player) could negatively affect the well-being of the athlete. A sample of elite young basketball players (n = 121) consisting of 55 males and 66 females, ranging in age from 16 to 23 (M = 20.12 ± 1.71), completed the Negative Factors Affecting Players’ Well-being (NFAPW) Questionnaire. This questionnaire was designed ad hoc and demonstrated good psychometric properties that confirmed that it is a valid and reliable instrument to measure how those factors negatively affect their well-being. The results showed that females have a greater perception of the factors that negatively affect their well-being, especially those related to the actions of the coach. However, no differences were found regarding the experience. Although this research provides an initial tool for measuring the well-being of the player during competition, future studies are encouraged to provide guidance to the coaches and players in dealing with the psychological variables in a better way.


Sports ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 243 ◽  
Author(s):  
Eduardo Guimarães ◽  
Ana Ramos ◽  
Manuel A. Janeira ◽  
Adam D.G. Baxter-Jones ◽  
José Maia

This study (1) investigated the effects of age, maturity status, anthropometrics, and years of training on 11–14-year-old male basketball players’ physical performance and technical skills development, and (2) estimated the contribution of maturity status and training years on players’ physical and technical performances. The sample consisted of 150 participants, average age 13.3 ± 0.7 years, grouped by early, average, and late maturation. Biological maturation, anthropometry, and training data were collected using standard procedures. Measures of physical performance assessed included: aerobic fitness, abdominal muscular strength and endurance, static strength, lower body explosive power, upper body explosive power, speed, and agility and body control. Basketball-specific technical skills were also recorded. Analysis of variance (ANOVA) and analysis of covariance (ANCOVA) were used to compare group differences. Results indicated that early maturers were taller, heavier, and had greater strength, power, speed, and agility (p < 0.05). When controlling for age, height, and body mass, early maturers remained stronger, quicker, and more agile (p < 0.05). They were also more skillful in the speed shot shooting test (p < 0.05). Apart from tests of aerobic fitness, abdominal muscular strength and endurance, and lower body explosive power, maturity status was the primary contributor to the variance in the physical performance tests. Years of training was the primary contributor to the variance in the technical skills tests. Whilst physical performance was dependent on maturity status, technical skills were influenced by years of training. Since both biological maturation and years of training play an important role in basketball performance, we recommend that coaches consider the effects of these two confounders when recruiting and selecting youth basketballers.


PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257767
Author(s):  
Eduardo Guimarães ◽  
Adam D. G. Baxter-Jones ◽  
A. Mark Williams ◽  
Fernando Tavares ◽  
Manuel A. Janeira ◽  
...  

Although technical skills are a prerequisite for success in basketball, little is known about how they develop over time. In this study, we model the trajectories of technical skill development in young basketball players and investigate the effects of training experience, training volume, body composition, maturity status, physical performance, and club characteristics on skill development. A total of 264 male basketballers from five age-cohorts (11 to 15 years of age) were followed consecutively over three years using a mixed-longitudinal design. Technical skills, training experience and volume, basic anthropometrics, body composition, biological maturation and physical performance were assessed bi-annually. A multilevel hierarchical linear model was used for trajectory analysis. Non-linear trends (p < 0.01) were observed in speed shot shooting, control dribble, defensive movement, slalom sprint, and slalom dribble. Being more experienced and physically fitter had a significant (p < 0.05) positive effect on technical skill development; greater fat-free mass negatively affected skills demanding quick running and rapid changes of direction with or without the ball (p < 0.05). Training volume and biological age did not explain differences in technical skill development (p > 0.05). Moreover, belonging to different clubs had no significant influence on the technical skills trajectories of players. Our findings highlight the important role that individual differences play, over and beyond club structure, in developing skills. Findings improve our understanding on how technical skills develop during adolescence through training, growth, and biological maturation.


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