scholarly journals Differences in Anthropometric Characteristics among Junior Soccer and Basketball Players

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


2015 ◽  
Vol 46 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Alejandro Vaquera ◽  
Santiago Santos ◽  
José Gerardo Villa ◽  
Juan Carlos Morante ◽  
Vicente García-Tormo

AbstractThe study of elite basketball players’ anthropometric characteristics alongside those of body composition contributes significantly to their profiling as professional athletes and plays an important role in the selection process, as these characteristics can have a significant impact on performance. In the current study, 110 professional basketball players from a series of Spanish professional Leagues (ACB, LEB and EBA) and youth level National Teams (U20 and U18) had their anthropometric profiles measured and compared to determine differences between them. Furthermore, all 110 players were divided into three different categories according to their playing position: guards, forwards and centres. The results obtained show no significant differences between players in different competitions in weight, height and the sum of skinfolds. Nonetheless, there were several differences related to body fat content (13.03% in ACB players and 10.52% in the lower categories and National Teams). There were also several differences found between the different playing positions amongst all playing levels in body mass (79.56 ± 2.41, 91.04 ± 1.51 and 104.56 ± 1.73 kg), height (182.28 ± 0.96, 195.65 ± 1.00 and 204.08 ± 0.67 cm), skinfold distribution and perimeters. However, there were no significant differences in body fat content between the different playing positions. The conclusions obtained from this study provide a better understanding to basketball specialists regarding the selection process of players at the elite level, especially on the transition from youth elite programs to men’s elite leagues.


Author(s):  
B. Masanovic ◽  
S. Popovic ◽  
D. Bjelica

Background and Study Aim: The purpose of this study was to describe anthropometric characteristics and body composition of basketball players from two competitive levels, elite and sub-elite as well as to make a comparison between them. Material and Methods: Fifty-seven male subjects were enrolled in this study, divided into three groups: fourteen elite basketball players, twelve sub-elite basketball players and thirty-one healthy sedentary subjects (subjects from general population). All subjects were assessed for anthropometric measures required for the calculation of body composition variables, using standardized procedures recommended by previous studies. Data was analyzed using SPSS and the descriptive statistics were expressed as a mean (SD) for each variable, while the ANOVA and the LSD Post Hoc tests were carried out to detect effects of each type of sport. Results: The results showed that a significant difference was found in variables height, weight, muscle mass, bone content and body fat, while a significant difference was not found for the remaining variable, body mass index. Conclusions: Therefore, these findings may give coaches from the region better working knowledge and thus provide knowledges for basketball experts which will help them to select talented players as best as possible.


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