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1
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The Differences Between Medalists and Non-Medalists at the 2008 Olympic Games Taekwondo Tournament

100%
Cular D., Krstulovic S., janovic M.
Human Movement
|
2011
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vol. 12
|
issue 2
165-170
EN
Purpose. To establish the differences in some morphological characteristics and competitive efficacy parameters between the medal winners and other competitors in male and female competitions at the Olympic taekwondo tournament in China 2008. Basic procedures. Athlete profiles were obtained from the "Official Olympic site" which included weight category, weight, height, age, given points, received points, warnings, deduction points, defensive/offensive kicks, and punches. A total of 128 athletes competed (64 males and 64 females) in the Games. Main findings. In males ANOVA found significant differences in both the sub patterns between the medal winners and other competitors in: the average number of given points per fight, average number of points received per fight, and average number of given defensive kicks to the trunk. Among females, significant differences were found in all the previously specified variables together with the average number of given offensive points to the trunk, average number of given offensive points to the head, and average number of warnings per fight. Conclusions. The differences between male medalists and non-medalists were observed in the DK1P (average number of defensive kicks to the trunk) variable, whereas in the female competitors the largest differences were in the average number of offensive points to the trunk and head (OK1P and OK2P). The medal winners achieved better results in those variables when compared with non-winners in both male and female categories. In comparison to the last two Olympic games, certain changes in the trend in how points are given among the male and female competitors are evidenced. When compared with the 2000 and 2004 Olympic games, the Beijing games were dominated by defensive kicks among the male competitors, whereas in female athletes, greater homogeneity and changes in the style of fighting were observed.
2
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Strength Parameters in Judo Athletes: An Approach Using Hand Dominance and Weight Categories

88%
Detanico D., Budal Arins F., Dal Pupo J., Dos Santos S. G.
Human Movement
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2012
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vol. 13
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issue 4
330-336
EN
Purpose. This study aimed to relate strength parameters of the judogi pull test and countermovement jump (CMJ), and body fat with body mass and to compare strength parameters in the judogi pull test between the dominant and non-dominant hands. Methods. Eighteen male judokas took part in this study. The following parameters were analysed: maximal force (Fmax), time to maximal force (TFmax), rate of force development (RFD) and rate of peak force decrement (RPFD) of the dominant and nondominant hands during the pull test. Jump height (Hmax), power, Fmax, peak velocity (PV) and RFD in the CMJ were also measured. A t-test and Pearson’s correlation were used. Results. Fmax (absolute and relative) and RFD were greater for the dominant hand, whereas RFPD was greater for the non-dominant hand during the pull test. There was a significant correlation only between absolute Fmax and body mass (r = 0.51) in the pull test. For the CMJ, relative power (r = -0.57), Hmax (r = -0.49) and PV (r = -0.53) were negatively correlated with body mass, while absolute Fmax (r = 0.84) and power (r = 0.69) were positively correlated with body mass. A significant correlation between body mass and body fat (r = 0.88) was found. Conclusions. There are differences in maximal and explosive force and the rate of peak force decrement between the dominant and non-dominant hand. Absolute values of power and maximal force increased according to body mass (and, therefore, a higher weight category); however jump performance decreased with an increase in body mass (weight category).
3
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The Influence of Body Weight on Chosen Physiological Parameters in Wrestling

88%
Karninčić H., Krstulović S., Baić M.
Journal of Human Kinetics
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2013
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vol. 37
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issue 1
119-127
EN
In this study, the authors attempted to determine whether the dynamics of blood lactate and glucose in wrestling depend on the weight class. Blood lactate and glucose curves during and after a wrestling match were determined. We also explained the dynamics of blood lactate and glucose in the context of recent glucose and lactate metabolism research. A sample of 60 youth wrestlers (15-20 years) were divided into three weight groups. Each athlete participated in one wrestling match. During the fight, the athletes' heart rate, glucose, and blood lactate were measured. The differences in body mass between the athletes did not affect the dynamics of lactate and glucose in wrestling competition (Fisher LSD test). We established that lactate and glucose dynamics are the same for all weight groups (Fisher LSD-Lactate 1 < 2 < 3 = 4 > 5, Fisher LSD-Glucose 1 = 2 < 3 < 4 < 5). Understanding lactate and glucose metabolism in wrestling is important for wrestling coaches because they need to evaluate a wrestler's anaerobic energy status.
4
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Associations between Major Indices of Physical Development and Fitness and the Level of Elite Wrestler Special Work Capacity

75%
Pryimakov O., Masenko L., Lachno D.
Central European Journal of Sport Sciences and Medicine
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2015
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vol. 11
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issue 3
87-94
EN
Objective: The objective of the given work consisted in studying associations between the major indices of physical development (PD) and physical fitness, on the one hand, and the level of special work capacity of elite wrestlers of different weight categories, on the other hand. Material: 147 Ukrainian athletes engaged in Greco-Roman, free-style wrestling and judo served as the subjects. The following methods of studies were used: anthropometry, caliperometry, dynamometry, methods of testing speed-strength fitness and special work capacity of wrestlers, statistical processing and computer modelling. Results: It has been demonstrated that skill level determines ratio and associations of morphometric and speed-strength indices, level of athletes’ special work capacity. Enhancement of skill level results in augmentation of speed-strength fitness, increase of body circumferences, decrease of fat component content, gain of muscular component and muscular development index. Along with the increase of weight category the level of speed-strength fitness and special work capacity decreases. Respective mathematical models were developed. Conclusions. It is recommended to use the developed regression models for modelling, predicting and evaluating special work capacity of highly skilled wrestlers of light, middle and heavy weight categories.
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