Volume 18, Issue 20 (11-2020)                   RSMT 2020, 18(20): 103-114 | Back to browse issues page

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Hosseinzadeh E, Eslami M. Prediction of sprint active women performance using vertical and leg stiffness. RSMT 2020; 18 (20) :103-114
URL: http://jsmt.khu.ac.ir/article-1-393-en.html
, hoseinzadeh.effat@gmail.com
Abstract:   (2240 Views)
Introduction: The ability to attain high level of speed is an essential component of success in many sports fields. However, physical qualities that underpin this ability remain unclear. The purpose of this study was to investigate the role of leg stiffness and vertical stiffness in predicting sprint running. Methods: 50 healthy females were selected among physical education students. The required kinetic and kinetic data were collected in three dimensions. The kinetic and kinematic variables rrunning skill was used to measure both stiffness variables. A multivariate regression model was used to examine the possibility of predicting running speed using leg stiffness and vertical stiffness. Findings: The results of multiple regression showed that there is a significant relationship between the two-leg stiffness and vertical stiffness with mean running speed (R = 0.671), and these two variables can predict 42% of Average speed variation (Adj. R square=0.426). Conclusion: The results of the present study showed that the ability of individuals to sprint running is likely to be significantly dependent on leg stiffness and vertical stiffness. The results of this study can provide important information for designing training programs and talent detection for trainers and specialists in this field.
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Type of Study: Applicable |
Received: 2020/01/28 | Accepted: 2021/01/27 | Published: 2021/01/27

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