scholarly journals Performance characteristics of top-level youth judokas in light- and heavy-weight categories

2020 ◽  
Vol 15 (5-6) ◽  
pp. 783-792
Author(s):  
Ingrid M Engwerda ◽  
Ronnie Lidor ◽  
Marije T Elferink-Gemser

Professionals involved in training programs for judokas should have access to evidence-based data on various characteristics of these athletes. In the current study, anthropometric (e.g., body height, body mass), physiological (e.g., power based on vertical jump height, maximal handgrip strength), and psychological (e.g., athletic coping skills) characteristics of judokas were examined. The judokas, aged 16-21, were classified into two groups: 30 light weight (males = 19, females = 11) and 27 heavy weight (males = 13, females = 14). Four MANCOVAs separated by sex were performed on the anthropometric, physiological, and psychological data. A discriminant analysis was also carried out. Results showed that heavy-weight males outscored their lighter peers on body height ( d = 1.88), arm span ( d = 1.88), and maximal handgrip strength. In the females, light-weight judokas outscored their heavier peers on jumping ability ( d = 1.02) and peak power bench press ( d = 1.20). Female heavy-weight judokas had greater body height ( d = 1.46), a longer arm span ( d = 1.35), and higher scores on maximal handgrip strength than light-weight judokas. The discriminant analysis revealed that 87.5% and 84.0% of the original grouped male and female judokas, respectively, were correctly classified. No differences in coping skills or self-regulation of learning between categories were observed. It is recommended that professionals involved in training programs may consider these differences in data when developing training programs for young judokas.

Author(s):  
Emine Kutlay ◽  
Fehime Haslofça ◽  
Ercan Haslofça

In order to monitor training effects and physical developments in elite sports, it may be beneficial to perform anthropometric measurements and physical fitness tests regularly. In this study, the relationship between the anthropometric properties and physical fitness values of elite figure skating athletes were investigated. 21 elite athletes in the 11-16 age group, female (n=12) and male (n=9), participated in the study. Anthropometric measurements were taken in accordance with The International Society for the Advancement of Kinanthropometry (ISAK) protocol. Σ6 and Σ8 skinfold thickness, body fat ratio (BF%), body mass index (BMI), Manouvrier Index (MI), waist/hip ratio and somatotype components in girls Group II, III and in boys Group II were calculated. Also, balance, flexibility, handgrip strength, vertical jump, agility, medicine ball overhead back throw, speed, and endurance tests were applied to all groups. Descriptive statistical analyzes were made using the IBM SPSS 25.0 statistics program. The relationship between variables was calculated by the Pearson Correlation coefficient. The significance level was taken as p<0.01 and p<0.05. In boys, body weight, body height and arm span, sitting height, BMI, humerus breadth and foot length were observed to be associated with all physical fitness parameters (p<0.01, p<0.05), except balance and agility; Girth measurements were related to handgrip strength, vertical jump, overhead medicine ball backward throw, speed and endurance (p<0.01, p<0.05). Negative relationships of the endomorphic feature with flexibility and endurance were determined (p<0.05). In girls, it was found that body weight, body height, and arm span, sitting height and BMI were related to flexibility, handgrip strength, medicine ball overhead back throw (p<0.01, p<0.05); girth measurements were found to be related to flexibility, handgrip strength, vertical jump, overhead medicine ball back throw (p<0.01, p<0.05); also, significant correlations (p<0.01, p<0.05) were found between the handgrip strength and breadth measurements. Assessment of the relationship between morphological features and motor skills with specific field tests and standardized tests performed at regular intervals in athletes can contribute to the athletes' selection and training planning of the relevant federations and orientating towards their goals.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0629/a.php" alt="Hit counter" /></p>


2018 ◽  
Vol 63 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Carmen Ferragut ◽  
Helena Vila ◽  
Jose Arturo Abraldes ◽  
Carmen Manchado

Abstract The relationship between anthropometric and physical characteristics of female handball players and throwing velocity is considered an important factor in handball performance. The aim of this study was to examine key differences in anthropometric and fitness characteristics between top elite and elite female players competing in the first Spanish handball league. A total of 89 players from the first Spanish handball league were divided into two groups, top elite (38) and elite (51) players, and assessed for anthropometric and fitness characteristics (throwing velocity, vertical jump and hand grip strength). A Student’s t-test was used to determine whether a statistically significant difference between the two different levels of play occurred. Significant differences were found in age, body height, body mass, arm span, muscle mass, different girths (tensed and flexed arm, forearm, wrist, ankle), dominant hand width and length, different breadths (biacromial, bitrochanteric, bistyloid breadth and biepicondylar humerus) and fitness characteristics (hand grip strength and throwing velocity for different positions). Top elite players compared to elite players showed differences in anthropometric characteristics which were mainly located in the upper limbs and mostly were nonmodifiable aspects by training. Furthermore, the best players were able to maintain a high throwing velocity in different tactical situations.


2020 ◽  
Vol 71 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Alberto Carvalho ◽  
Paulo Roriz ◽  
Daniel Duarte

AbstractKnowledge of players’ anthropometric profiles may contribute to a better understanding of the differences between their performance levels. For example, vertical jump height, which is a major indicator of a volleyball player’s performance, is influenced by favorable anthropometric variables. This study’s aim was to describe anthropometric profiles of elite female volleyball players competing in the 1st and 2nd divisions in Portugal and to link these profiles with performance skills such as jump height obtained during blocking and spiking actions. Fifty-nine volleyball players were analyzed according to their competitive level, forming three independent groups: GA (n = 20, A1 division, ranked first), GB (n = 21, A1 division, ranked last) and GC (n = 18, A2 division). Anthropometric data collected included body mass and height, arm span, seven skinfolds (triceps, biceps, subscapular, suprailiac, abdominal, thigh and calf), four body perimeters (relaxed brachial, contracted brachial, thigh and calf), and two body diameters (humeral and femoral). Performance data included the height obtained during block and spike actions. Significant differences were found between groups (GA/GB from A1 and GC from A2). Players in the GA had the highest body mass (68.05 ± 6.62 kg, p < 0.05), body height (176.35 ± 6.21 cm, p < 0.05), arm span (177.59 ± 6.09 cm, p < 0.05), lean mass (53.51 ± 4.94 kg, p < 0.05) and vertical jump heights (block: 0.36 ± 0.06 m and spike: 0.43 ± 0.05 m, p < 0.05). As expected, the fat mass percentage of GA players was the lowest (21.30 ± 2.61%). The results suggest that anthropometric profiles of volleyball players may vary according to the competitive level. The higher body mass, body height, arm span, and lean mass presented by GA players in comparison with GC players suggest these variables are important for top-level performance, since these athletes also exhibited higher jump heights. Variables such as height and arm span have a considerable genetic influence and could be important for early talent identification in volleyball. Other variables such as body mass, lean mass and vertical jump performance are more complex, since they also reflect the effects of environmental and training conditions.


2017 ◽  
Vol 9 (1) ◽  
pp. 51-56 ◽  
Author(s):  
Adebisi I. Hammed ◽  
Elvis I. Agbonlahor

Summary Study aim: Was to investigate the relationship of anthropometrics with handgrip strength (HGS) among Nigerian school children.Material and methods: A total of 200 school children participated in this study. An electronic handgrip dynamometer was used to measure handgrip strength (HGS) in kg. Body height and body weight were measured with a wall-mounted stadiometer in meters and a bathroom weighing scale in kg, respectively. Body mass index (BMI) was then calculated using the formula weight (kg)/height (m2). Also, hand span of both hands was measured from the tip of the thumb to the tip of the small finger with the hand opened as wide as possible. The distance from the distal wrist crease up to the base of the middle finger was taken for palm length and the distal wrist crease to the tip of the middle finger was considered for the measurement of hand length. However, the relationship between HGS and anthropometric parameters was analyzed using Pearson’s product moment coefficient of correlation.Results: The outcome of this study showed that hand and palm length correlated disproportionately and insignificantly (p > 0.05) with both dominant and non-dominant HGS. Also, hand span was found to be a disproportionate correlate of HGS, though such a correlation was only significant (p < 0.05) with dominant HGS. However, BMI and handedness were observed to associate proportionately and significantly (p < 0.05) with HGS.Conclusion: This study therefore concluded that the most important determinants of HGS among Nigerian school children are BMI, handedness and hand span, and thus could be considered as markers of nutritional and health status, as well as physical fitness of these individuals.


2014 ◽  
Vol 3 ◽  
pp. 30.25.CP.3.2
Author(s):  
Eduardo A. Abade ◽  
Bruno V. Gonçalves ◽  
José M. Vilaça ◽  
Jaime E. Sampaio

2005 ◽  
Vol 48 (5) ◽  
pp. 518-526
Author(s):  
I. Seker ◽  
S. Kul ◽  
M. Bayraktar

Abstract. This study was undertaken to determine the effects of storage period and egg weight of hatching eggs of Japanese quails on fertility, hatchability results. Eggs were obtained 150 females quails, all at 15 weeks of age. A total of 1942 hatching eggs were separated into 3 groups as light-weight (9.50-10.50 g), medium-weight (10.51-11.50 g), and heavy-weight (11.51-12.50 g). Based on storage period, eggs were divided into 5 groups as group 1 (0-3 days), group 2 (4-6 days), group 3 (7-9 days), group 4 (10-12 days), and group 5 (13-15 days). The influence of storage period on hatchability of fertile eggs and early, middle, and late period embryonic mortality rates was found significant (P<0.01). The effect of egg weight on fertility rate, hatchability of fertile eggs and early embryonic mortality was significant (P<0.05, P<0.01). The significant differences between storage period groups were observed in hatchability of fertile eggs. The differences between egg weight groups for fertility rate, hatchability of fertile eggs and early embryonic mortality was significantly higher in light weight group than the other egg weight groups. Results of this study concluded that a 12 day pre-incubation storage of hatching eggs of Japanese quails did not appreciably affect hatching parameters. Use of medium or heavy weight eggs for hatching may reduce early embryonic mortality rate.


Author(s):  
Nur Mujaddidah Mochtar

Background: There are various circumstances where measurements are not actually possible, replacement parameters can be used to estimate body height. Many characteristics of body height measurement and how to measure it. These include anthropometric measurements that can be used for the identification of medicolegal-forensic processes. Body height in clinical medicine and in the field of scientific research can be easily estimated using various anthropometric parameters such as arm span, knee height, foot length and foot breadth, and others. The arm span and foot length has proved to be one of the most reliable predictors. This study was conducted to estimate of body height from arm span and foot length using the regression equation and to determine the correlation between the body height and arm span and foot length.Methods: This study was conducted at Universitas Muhammadiyah Surabaya with 182 Javanese female students. Stature, arm span and foot length measured directly using anthropometric technique and measuring tape. The data obtained were then analyzed with SPSS version 16. The regression equation was derived for the estimate of body height and the relationship between stature, arm span and foot length determined by the Pearson correlation.               Results: We found that the mean body height of Javanese women was 1534,45 ± 47,623  mm, mean of arm span 1543,25 ± 60,468 mm and the mean of foot length 226,14 ± 9,586 mm. The correlation between stature and arm span was positive and significant (r = 0,715  , p <0,05). The correlation between stature and foot length was positive and significant (r = 0,726 , p <0,05). The correlation between stature and arm span and foot length was positive and significant (r = 0,798, p <0,05).               Conclusion: Body height correlates well with the arm span and foot length so that it can be used as a reliable marker for high estimates using regression equations.


1987 ◽  
Vol 64 (3) ◽  
pp. 823-827 ◽  
Author(s):  
Mark A. Brooks ◽  
Larry W. Boleach ◽  
J. L. Mayhew

To determine the predictive potential of selected cognitive and psychomotor variables to estimate basketball performance, 50 male high school players from 3 schools in the same conference were evaluated. One team won the Iowa state championship; the second team had a 12 and 10 record while the third team had a 4 and 16 record. The 3 coaches rated each player's ability from 1 to 10. Multiple regression analysis to predict coaches' rating of ability from vertical jump, hand reaction time, weight, and playing experience gave an R of .76. However, discriminant analysis to classify players on the 3 teams indicated as important knowledge about basketball, dribbling, shooting accuracy, and height. The canonical correlation for the 4 variables and team membership was .64. Using the 4 variables, 60% of the players could be correctly classified to their teams.


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