Some anthropometric measurements and physical abilities as a function to predict the amount of weight lifted in the snatch lift for Teenagers

Abstract

The sports is an important sector for the advancement of nations and their civilizational progress therefore it must study the various In which we communicate with peoples and the field in which many scientists and specialists compete to develop their research and advance to a global level befitting the level of their country sports activities and events in all their aspects. So as to reach to the winning podiums. One of these sports is weightlifting sport and anthropometric measurements and  special physical abilities because of its important to raise the level of the lifter to make achievement in the level of snatch lift .

This research aims to identify anthropometric measurements and physical abilities  as a function to predict the amount of weight lifted .This is done by putting predictive equations for the amount of weight lifted under study in terms of physicals measurements of the snatch lift. Due to the delay in the numerical level of the lifters in the snatch lift and the presence of some mistakes and deficiencies in performance with the lack of technical information in an objective manner to raise the amount of weight lifted which prompted the researcher to carry out this study to identify the most influential contributions in each of the physical measurements of the amount of weight lifted for the snatch lift. The searcher used descriptive method because it is suitable for the nature of this study , the sample was selected by the intentional method from weightlifters in number (6) without adhering to any variables such as age wrist and thigh and the development of predictive equations for the conclusions according to the indications under study. Recommendations Using of predictive rates for each of the  physical measurements in the contributing joints Conducting studies of the lifting of the niter to predict the amount of weight lifted and the development of predictive equations for it .