THE RELATIONSHIP BETWEEN ANTHROPOMETRIC BODY DIMENSIONS AND THE MODEL FOR WEIGHT LIFTING TECHNIQUE
AbstractINTRODUCTION The basic problem in learning weight lifting techniques is to define the optimum track of the bar-bell. The parameters of the bar-bellis track can be thought of as a basic criterion of the level of the weight lifting technique of an individual. The course of the bar-bell track is very individual and dependent on many different factors. One of the most important factors is the anthropometric body dimensions of the athlete. By using a special device which is called pantograph the general parameters of the bar-bell track can be defined. At present time a special simulator is being constructed which enables us to simulate the individual track of the bar-bell according to input data of the individual. The system is controlled by computer. The main goal of this research is to find the relationship between the anthropometric body dimensions of the individuals and the basic parameters of the barbell track. We expect that the parameters of the individual will be the input data for the simulation of the optimum bar-bell track for the individual. METHODS The research has been provided by a group of 29 top weightlifting athletes. Eight anthropometric data (length parameters) and 7 derived anthropometric values from previous data were the input data for the statistical analysis. By using the device of our own construction (pantograph) the track of the bar-bell for each individual has been measured. The model of the individual track of the bar-bell was expressed by 8 different measured characteristics. The best competition attempts were selected for the research. The basis for the statistical evaluation of measured data was the method of correlation and multiple regression analysis. By using these statistical methods, the relationship was examined between anthropometric dimensions and the characteristics of the bar-bell track (8 variables). We expect, that the regression equations will enable us to find the individual parameters of the bar-bell track which will be the input data to the simulation of the individual model of the bar-bell track. RESULTS - The range of multiple correlation coefficients was 0.45 to 0.94. Based on the multiple regression analysis the matrix of the anthropometric data was reduced to 5 selected significant variables (2 lengths and 3 derived parameters). Derived equations of multiple regression analysis enable us to compute the key parameters which define the individual bar-bell track. The results of this research will be used for the solution of the problem of learning the optimal technique of weightlifting by using the simulator.
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