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Article
Regression models of sprint, vertical jump, and change of direction performance
Journal of Strength and Conditioning Research
  • Paul A. Swinton, Robert Gordon University
  • Ray Lloyd, University of Abertay Dundee
  • Justin Keogh, Bond University
  • Ioannis Agouris, Robert Gordon University
  • Arthur D. Stewart, Robert Gordon University
Date of this Version
7-1-2014
Document Type
Journal Article
Publication Details

Citation only

Swinton, P. A., Lloyd, R., Keogh, J. W. L., Agouris, I., & Stewart, A. D. (2014). Regression models of sprint, vertical jump, and change of direction performance. Journal of Strength and Conditioning Research, 28(7), 1839–1848.

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© Copyright National Strength and Conditioning Association, 2014

Abstract

It was the aim of the present study to expand on previous correlation analyses that have attempted to identify factors that influence performance of jumping, sprinting, and changing direction. This was achieved by using a regression approach to obtain linear models that combined anthropometric, strength, and other biomechanical variables. Thirty rugby union players participated in the study (age: 24.2±3.9 years; stature: 181.2±6.6 cm; mass: 94.2±11.1 kg). The athletes' ability to sprint, jump, and change direction was assessed using a 30-m sprint, vertical jump, and 505 agility test, respectively. Regression variables were collected during maximum strength tests (1 repetition maximum [1RM] deadlift and squat) and performance of fast velocity resistance exercises (deadlift and jump squat) using submaximum loads (10-70% 1RM). Force, velocity, power, and rate of force development (RFD) values were measured during fast velocity exercises with the greatest values produced across loads selected for further analysis. Anthropometric data, including lengths, widths, and girths were collected using a 3-dimensional body scanner. Potential regression variables were first identified using correlation analyses. Suitable variables were then regressed using a best subsets approach. Three factor models generally provided the most appropriate balance between explained variance and model complexity. Adjusted R2 values of 0.86, 0.82, and 0.67 were obtained for sprint, jump, and change of direction performance, respectively. Anthropometric measurements did not feature in any of the top models because of their strong association with body mass. For each performance measure, variance was best explained by relative maximum strength. Improvements in models were then obtained by including velocity and power values for jumping and sprinting performance, and by including RFD values for change of direction performance.

Citation Information
Paul A. Swinton, Ray Lloyd, Justin Keogh, Ioannis Agouris, et al.. "Regression models of sprint, vertical jump, and change of direction performance" Journal of Strength and Conditioning Research (2014) ISSN: 1064-8011
Available at: http://works.bepress.com/justin_keogh/56/