shot put
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2021 ◽  
Vol 7 (4) ◽  
pp. 35-45
Author(s):  
Hikmat Almadhkhori ◽  
Ratko Pavlović ◽  
Iryna Skrypchenko ◽  
Bouchareb Rafahiya ◽  
R. Ram Mohan Singh

Purpose: to determine the most significant kinematic indicators in the sports selection of beginner shot putters. Material and Methods: This study was carried out on a sample of 9 students at the fourth stage of the competition in Division 1, which took place in the 2017/2018 academic year at the Faculty of Physical Education of Maysan University. The following kinematic (biomechanical) parameters were analyzed: the angle of release of the nucleus, the velocity of release, the height of the point of ejection of the nucleus and the speed of swing. The correlation coefficients were determined between the kinematic indicators and the result in the shot put, as well as the regression equation for the dependence of the result in the shot put on the knematic indicators. The data obtained in the study were presented in the form of the arithmetic mean, standard deviation, median, skewness coefficient, Pearson's correlation coefficient, analysis of variance and linear regression, which included the contribution coefficients of each analyzed indicator, standard error, reliability of the regression equation as a whole, and reliability of the coefficients contribution to the shot put result of each kinematic exponent. Results. It has been shown that the swing speed has the greatest influence on the result in the shot put among beginner athletes. The swing speed, shot angle, shot speed and shot height have significant relationships with the shot put result. The multiple regression equation for the dependence of the shot put result on the swing speed, shot angle, shot height and shot point turned out to be reliable in general. However, only the swing speed has a reliable coefficient of the regression equation. The shot angle tends to be the determining factor in the shot put result. The release rate and the height of the release point have significant correlations with the shot put result, although in the regression equation they have unreliable indicators of influence on the shot put result. Conclusions. When teaching beginner shot putters, the greatest attention should be paid to the pushing swing technique, namely the swing speed. The second most important indicator is the angle of the shot put, it is recommended to use the basic prediction equation, which determines the expected results in the selection of young athletes in shot put, with high reliability of the results obtained. These characteristics are recommended to be used for evaluating young athletes, as well as in the process of training and preparing athletes for competitions.  


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Wenbing Zhu ◽  
Hafnida Hasan

Abstract Objective To study the mathematical simulation analysis of shot-putter throwing optimal path. Methods Shot put was simplified as a parabolic motion of a particle, the corresponding mathematical model was established, and the mathematical relationship between the throwing distance and the initial velocity of shot put, the shooting Angle and the shooting height was defined. Results The fitting formula between shooting speed and shooting Angle was obtained by using the fitting method, and the quantitative relationship between them and the ideal shooting Angle was identified. Conclusion The mathematical principle of shot put is revealed through the process of building a model from simple to complex. However, there are still many problems to be solved, among which the height problem is a complex one. At the present level, it is not possible to find a reasonable height, because it involves many factors. However, the development of grey mathematics will provide a beneficial attempt for it to establish a reasonable and scientific model.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Baocong Sun

Abstract In order to consider many uncertain factors in the process of shot-put, a fuzzy optimisation model of shot-put is proposed. With the help of fuzzy anthropometric data and strength data, the model calculates the fuzzy solution set of the athlete's best throwing mode and throwing distance with a known probability distribution, which reflects the actual process of shot throwing better than the non-fuzzy optimisation model. Then, using MATLAB6 software, the program design of the model solving and the user interface of optimisation software are developed, which realises fast calculation and good user interaction function. Finally, the actual measurement data of university shot-putters are used to verify the feasibility and effectiveness of the fuzzy optimisation model.


PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259497
Author(s):  
Alejandro Sánchez-Pay ◽  
Jesús Ramón-Llin ◽  
Rafael Martínez-Gallego ◽  
David Sanz-Rivas ◽  
Bernardino Javier Sánchez-Alcaraz ◽  
...  

The aims of this study were to examine the relationship between anthropometric variables, physical performance, and functional test with serve velocity regarding tennis players’ level and to design regression models that effectively predict serve velocity. A sample of sixteen male tennis players participated in this study (national level = 8, professional level = 7). Anthropometric measurements (body mass, height, body mass index and body segments) and physical test (hand strength, countermovement jump, jump on serve, and serve velocity) and functional test (medicine ball throw overhead and shot put) were performed. No differences in anthropometrics and physical test were found between national and professional levels. A significant positive correlation (p < 0.05, ranging for 0.603 to 0.932) was found between some anthropometrics measurements (body mass, height, arm, forearm, and leg segments), physical parameters (hand strength, countermovement jump) and functional test (medicine ball throw shot put and overhead) with serve velocity for all tennis players. Multiple regression analysis indicated that medicine ball throw shot put was the most important test to explain serve velocity (r2 = 0.869). The results showed how the combination of physical and anthropometric factors have an impact on serve velocity. In addition, a new functional fitness test (medicine ball throw shot put) is proposed as an alternative to traditional medicine ball throw overhead due to its high reproducibility (inter-trial reliability) and predictive validity values, as well as by multi-segmental coordination movement similar to tennis serve.


2021 ◽  
pp. 139-143
Author(s):  
P. Miranda-Oliveira ◽  
D. Correia ◽  
M.M. Vieira ◽  
R.B. Ruben ◽  
O. Fernandes
Keyword(s):  

2021 ◽  
Vol 12 ◽  
Author(s):  
Bergita Ganse ◽  
Anne Kristin Braczynski ◽  
Christoph Hoog Antink ◽  
Matthias Knobe ◽  
Tim Pohlemann ◽  
...  

While physical performance decline rates accelerate after around the age of 70 years, longitudinal athletic performance trends in athletes older than 95 years are unknown. We hypothesized a further accelerated decline in human performance in athletes who still perform at the age of 100 years. To investigate this, longitudinal data of all athletes with results at or over the age of 100 years were collected from the “World Master Rankings” data base spanning 2006–2019 (138 results from 42 athletes; 5 women, 37 men; maximum 105 years) and compared to previously published longitudinal data from 80- to 96-year-old athletes from Sweden (1,134 results from 374 athletes). Regression statistics were used to compare performance decline rates between disciplines and age groups. On average, the individual decline rate of the centenarian group was 2.53 times as steep (100 m: 8.22x; long jump: 0.82x; shot put: 1.61x; discus throw: 1.04x; javelin throw: 0.98x) as that seen in non-centenarians. The steepest increase in decline was found in the 100-m sprint (t-test: p &lt; 0.05, no sign. difference in the other disciplines). The pooled regression statistics of the centenarians are: 100 m: R = 0.57, p = 0.004; long jump: R = 0.90, p &lt; 0.001; shot put: R = 0.65, p &lt; 0.001; discus throw: R = 0.73, p &lt; 0.001; javelin throw: R = 0.68, p &lt; 0.001. This first longitudinal dataset of performance decline rates of athletes who still compete at 100 years and older in five athletics disciplines shows that there is no performance plateau after the age of 90, but rather a further acceleration of the performance decline.


2021 ◽  
Vol 53 (8S) ◽  
pp. 380-380
Author(s):  
Bryan L. Riemann ◽  
Brad Collins ◽  
James Rowe ◽  
George J. Davies
Keyword(s):  
Shot Put ◽  

2021 ◽  
Vol 7 (2) ◽  
pp. 47-56
Author(s):  
Joko Supriyono ◽  
Slamet Santoso ◽  
Widha Srianto

The purpose of this study was to determine the potential talents in the sports field of students at SMP Negeri 1 Andong Boyolali Regency in 2020. Knowing whether or not the student has a sports potential in the sports they are participating in. This type of research is descriptive quantitative, using test and measurement techniques. One-shot case study research design. The population in this study was 217 students, the sample of this study was 50 students who were taken by purposive sampling. The instrument used is the Sport Search method. Based on the results of the study, it can be concluded that the talents or hobbies of the students include soccer as many as 33 students or 66%. According to 7 students, 13 students did not match, and 13 students did not match. Volleyball sports as many as 15 students or 30%. According to 9 students, less suitable for 1 student, not suitable for 5 students. Basketball as many as 2 students or 4%. According to 0 students, less suitable for 0 students, not suitable for 2 students. The total number of students who are not suitable and not suitable is 34 students or 68%. Has the potential in the sport of fast walking 9 students or 18%, high jump 10 students or 20%, 10 students or 20% shot put, 5 students running or 10%. Suggestions: (1) Physical education teachers are able to guide and direct students' talents. (2) Students are expected to join sports clubs.


Author(s):  
Matthieu Degot ◽  
Yoann Blache ◽  
Grégory Vigne ◽  
Gabriel Franger ◽  
Lionel Neyton ◽  
...  

Abstract Background The Unilateral Seated Shot-Put Test (USSPT) consists of pushing an overweight ball as far as possible to assess upper extremity power unilaterally and bilateral symmetry. Literature however reports various body positions and upper limb pushing patterns to perform USSPT, demanding to provide additional guideline to achieve overweight ball push. This study therefore aimed at assessing the reliability and agreement of USSPT outcome measures when pushing an overweight ball in a horizontal direction. Methods Twenty-seven healthy male athletes performed two sessions, one week apart, of three unilateral pushes per upper limb using a 3-kg medicine ball, for which the distances were measured. The intraclass correlation coefficient (ICC), standard error of measurement (SEM), minimum detectable change at a 95 % confidence level (MDC95 %) and coefficient of variation (CV) were assessed for the pushing distances based on one, two or three trials per side to produce two outcome measures: the pushing distance per limb and USSPT Limb Symmetry Index (LSI) when dividing pushing distance of the dominant side by that of the non-dominant side. Results The most reliable pushing distance per limb was obtained when averaging three pushing distances, normalized by body mass with the exponent 0.35. The mean USSPT LSI was 1.09 ± 0.10 for the first session and 1.08 ± 0.10 for the second session, highlighting good reliability and agreement (ICC = 0.82; SEM = 0.045; MDC95 % = 0.124; CV = 5.02 %). Conclusions When the overweight ball is pushed in a horizontal direction, averaging the distances of three trials for both the dominant and non-dominant limbs is advised to provide the most reliable USSPT distance per limb and USSPT LSI.


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