2017, Vol. 4, Issue 1, Part E
Prediction of weight lifting performance on the basis of selected anthropometric variables
Author(s): Sarfraj Alam
Abstract:Weight Training to lose fat is often mis-understood, with many people (women in particular) thinking that they would get bigger in the process. Well, this just isn't true; in fact doing this to lose fat is both good and essential. When people submit to a low calorie diet and cardio workout regime they lose muscle as well as fat. However, when you gain muscle you can actually train your body to burn fat more efficiently. The National level players of weightlifting belonging from the Sports Authority of India (SAI), Coaching Center Kashipur, Uttrakhand, were constitute as the population for this study. The samples were selected by using purposive random sampling technique from the Population i.e. 29. The age of the subjects were ranged 18 to 28 years. To determine the relationship of Anthropometrical characteristics with the Weight lifting Performance of different weight category, the data collected was analyzed by using the correlation matrix (Pearson Product Moment Correlation).
Pages: 262-265 | 1405 Views 162 DownloadsDownload Full Article: Click Here
How to cite this article:
Sarfraj Alam. Prediction of weight lifting performance on the basis of selected anthropometric variables. Int J Phys Educ Sports Health 2017;4(1):262-265.