Comparison Analysis among The Event Groups in Physical Fitness Factors of Elite Track and Field Jumpers

2020 ◽  
Vol 29 (5) ◽  
pp. 1373-1383
Author(s):  
Dong-Sung Choi
1963 ◽  
Vol 29 (5) ◽  
pp. 107-116
Author(s):  
Toshihiro ISHIKO ◽  
Jun YAMAKAWA

2020 ◽  
Vol 8 (3) ◽  
pp. 33-41
Author(s):  
Alexander Ogandzhanov ◽  
Ildar Latypov ◽  
Rinat Valiullin

Modern equipment based on computer technology can significantly improve the efficiency and accuracy of control procedures for physical fitness and technical performance of long jumpers. The study focuses on the development of control methods for technical performance and physical fitness of athletes-jumpers on the basis of «OptoJump Next» innovative measurement system. The purpose – to test the efficiency of modern technologies for assessing technical performance and physical fitness of athletes-jumpers employing biomechanics control system. Methods and organization of research. The main method of research is to assess the technical performance and physical fitness of athletes-jumpers using the "Optojump Next" measuring system, video recording and photodiode chronometry of the run-up speed (the "Brower" system). The survey took place at the track and field arena of the Novogorsk sport center (Moscow region), as well as at the stadium of ‘Iug-Sport’ sport center, Sochi in 2016-2018. The study involved 15 qualified long jumpers (Candidates Master of Sports – Masters of Sports of International Class). Results of the study and their discussion. The obtained results of the study enable identification of the model characteristics of the Special physical training control tests of qualified long jumpers in the range of results from 7.25 to 8.25 m. We have also developed model characteristics of technical performance for male jumpers in the range of results from 6.60 to 7.80 m. We used the chart of technical performance for jumpers (Master of Sports E. A-va) to reveal the lagging indicators of special sprint fitness: speed on the 5th step away from the bar; speed on the 4th step away from the bar; speed on the 3rd step away from the bar; pace of running step on the 3rd step away from the bar; average speed on the 3rd – 4th steps away from the bar; average speed on the 1st – 2nd steps away from the bar; average tempo activity of running steps. Conclusion. The results obtained enable identification of lagging and strong points of technical performance and physical fitness of qualified jumpers, and consequently, adjustment of training program for the upcoming training cycle.


2019 ◽  
Vol 19 (S1) ◽  
pp. 61-67
Author(s):  
E Fedorova ◽  
A Nalobina ◽  
A Sizov

Aim. The article deals with establishing the features of ATPase erythrocytes in the athletes of the first and second categories and non-athletes from different age groups. Material and methods. We studied the capillary blood of track-and-field athletes and healthy non-athletes of the same age and anthropometric characteristics (n = 60). Blood analysis was performed with the help of the Dixion hematological analyzer (Russia). The activity of erythrocyte membrane ATPases was studied according to K.S. Keeton. Results. The study revealed significant (p < 0.05) differences in certain (HGB and RBC) hematological blood indicators in participants from different age groups depending on their physical fitness. Age differences between groups are not significant (p > 0.05). The results obtained demonstrate the significantly (p < 0.001) higher values of ATPase activity in the athletes of the first and second categories from various age groups. The increase in Mg2+, Na+, K+-, Mg2+- and Na+, K+-ATPases activity in athletes is connected with more intensive metabolism in this group because transport ATPases participate in the energy supply of training and competition loads. Age-related differences (p < 0.05) in the activity of erythrocyte membrane ATPases in both groups can be possibly connected with the conformation features of erythrocyte membrane protein. The two-factor dispersion analysis revealed that age significantly (Р < 0.001) determined Mg2+, Na+, K+-, Mg2+- and Na+, K+-ATPases erythrocyte membrane activity at 89.15, 87.46, and 81.40 % respectively; physical activity at 96.19, 95.45 and 93.80 % respectively. Conclusion. General physical fitness and age can be considered as the factors determining the activity of erythrocyte membrane ATPases.


2016 ◽  
Vol 62 (Suppl.1) ◽  
pp. 189-193
Author(s):  
AYA MIYAMOTO ◽  
TOSHIO YANAGIYA

Author(s):  
Jing Bao

AbstractWith the continuous increase in social pressure and people’s higher urgency for physical health, the concept of healthy physical fitness has become more and more important and prominent. However, the research and standards for the validity of the health fitness monitoring test indicators have not been determined. In order to compare the validity of the health fitness test indicators, we adopt the cardiopulmonary track and field sensor technology to monitor the health fitness cardiopulmonary track and field sensor. A comparative study on the validity of test indicators, mainly to test the rationality of the cardiopulmonary endurance evaluation indicators of healthy physical fitness, and to carry out a new design of the concept of healthy physical fitness in track and field teaching, so that it is more inclined to improve the healthy physical fitness of athletes fitness. Research data shows that the average absolute value of the athlete’s maximum oxygen consumption is 2.51 L/min, the highest value is 3.96 L/min, and the lowest is 2.03 L/min. The average value of the absolute maximum oxygen consumption of girls is 1.79 L/min, the highest value is 2.89 L/min, and the minimum is 1.51 L/min. From these data, we can know that compared with traditional cardiopulmonary monitoring methods, the sensor monitoring studied in this paper has higher accuracy and wider application range. The peak cardiopulmonary power of athletes’ cardiopulmonary function detection using this method is closer to the actual value, while for the peak cardiopulmonary power detected by traditional methods, there is a big difference between the power and the actual value. For different athletes, the advantages of the algorithm in this paper are more obvious, indicating that the method in this paper has a higher detection accuracy for the cardiopulmonary function test of athletes during aerobic training.


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