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International Journal of Physiology, Nutrition and Physical Education

Impact Factor: RJIF 5.43

ISSN: 2456-0057

International Journal of Physiology, Nutrition and Physical Education

2016, Vol. 1, Issue 2
Event wise anthropometric variables as predictor of performance in power lifting
Author(s): Pramod Kumar and Sarfraj Alam
Abstract:
The purpose of the study was to predict the performance of power lifting on the basis of anthropometric variables. To attain this aim, a total of twenty one (N=21) elite power lifter of Uttarakhand were selected as subject for the purpose of this study. Height, weight, arm length right, arm length left, leg length right, leg length left, waist circumference, hip circumference, right thigh circumference, left thigh circumference, left calf circumference, right calf circumference were the selected anthropometric variables. The performance of squat, bench press and dead lift was measured in numbers. To find out the relationship of selected anthropometric variables with performance pearson’s product moment correlation was used and to predict the performance of power lifters on the basis of selected anthropometric variables regression analysis was employed by using Step-Wise method. Two models and regression equation for prediction of squat performance were developed. Among both the models the second model in which arm length left and height was observed 54.9% which was highest in comparison to the first model. Hence second is most suitable and adaptable for squat performance in power lifting and in predicting the performance of bench press the first model in which arm length left was observed 36.1% which was highest. Hence it is most suitable for bench press performance and in predicting the dead lift performance first model in which arm length left was observed 57.3% which was highest. Hence it is suitable for predicting the dead lift performance in power lifting.
Pages: 213-217  |  581 Views  5 Downloads
How to cite this article:
Pramod Kumar and Sarfraj Alam. Event wise anthropometric variables as predictor of performance in power lifting. International Journal of Physiology, Nutrition and Physical Education. 2016; 1(2): 213-217.
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