2019, Vol. 4, Issue 1
Anthropometric variables as predictor of performance in swimming
Author(s): Pramod Kumar and Mukesh Solanki
The purpose of the study was to predict the swimming performance on the basis of selected anthropometric variables. To achieve this aim, a total of one hundred (N=100) swimmers for both the stroke namely fifty of butterfly stroke and fifty of crawl stroke swimmers of Madhya Pradesh state were selected as subject for this study. Body weight, standing height, arm length, arm stretch in standing position, arm span, hand breadth, leg length, ball of foot circumference, foot length, foot breadth were the selected anthropometric variables. The performance of butterfly stroke and crawl stroke 50 mt. event was measured in seconds. To find out the relationship of selected anthropometric variables with the swimming performance Pearson’s product moment correlation was deployed and to predict the performance of swimmers on the basis selected anthropometric variables regression analysis was used by step-wise method. For butterfly stroke swimming performance three models and regression equation were developed, among all three models the third model in which arm span standing position, standing height, ball of foot circumference was observed 45.1% which was highest in comparison to first two models. Hence third model is most suitable and adaptable for butterfly stroke performance in swimming and in predicting the performance of crawl stroke swimming the third model in which foot length, arm length and standing height was observed 49.2% which was highest among all three models. Hence it is suitable for predicting the crawl stroke performance in swimming on the basis of selected anthropometric variables.
Pages: 1631-1635 | 382 Views 9 Downloads
How to cite this article:
Pramod Kumar, Mukesh Solanki. Anthropometric variables as predictor of performance in swimming. Int J Physiol Nutr Phys Educ 2019;4(1):1631-1635.