Principal Component Analysis of the Biomechanical Factors Associated With Performance During Cutting
- PMID: 30664108
- DOI: 10.1519/JSC.0000000000003022
Principal Component Analysis of the Biomechanical Factors Associated With Performance During Cutting
Abstract
Welch, N, Richter, C, Franklyn-Miller, A, and Moran, K. Principal component analysis of the biomechanical factors associated with performance during cutting. J Strength Cond Res 35(6): 1715-1723, 2021-The main aim of the current study was to investigate the relationship between kinematic variables in cutting and performance outcome across different angled cuts through the use of principal component analysis and permutation testing. Twenty-five male intercounty Gaelic football players (23.5 ± 4.2 years, 183 ± 6 cm, and 83 ± 6.9 kg) participated in the study. Three-dimensional motion capture was used to perform a biomechanical analysis of 110 and 45° cutting tasks. Principal component analysis and permutation testing revealed one principal component within the 45° cut (r = 0.26) and 2 principal components within the 110° (r = 0.66 and 0.27) cut that consistently correlated with performance outcome. Within the 45° cut, the identified principal component was interpreted as relating to performance cues of maintaining a low center of mass during the concentric phase, using a shorter ground contact time, resisting a reduction in lateral center of mass to ankle and knee distance in the eccentric phase, and using faster and larger extensions of the hip and knee. Within the 110° cut, the first identified principal component was interpreted as relating to performance cues of maintaining a low center of mass during the concentric phase, using a shorter ground contact time, resisting a reduction in lateral center of mass to ankle and knee distance in the eccentric phase, and resisting hip flexion then using hip extension. The second principal component was interpreted as relating to a performance cue of leaning in the direction of the cut.
Copyright © 2019 National Strength and Conditioning Association.
References
-
- Bruce P, Bruce A. Practical Statistics for Data Scientists: 50 Essential Concepts. Sebastopol, CA: O'Reilly Media Inc, 2017.
-
- Charoenpanich N, Boonsinsukh R, Sirisup S, Saengsirisuwan V. Principal component analysis identifies major muscles recruited during elite vertical jump. Sci Asia 39: 257–264, 2013.
-
- Dos'Santos T, Thomas C, Jones PA, Comfort P. Mechanical determinants of faster change of direction speed performance in male athletes. J Strength Cond Res 31: 696–705, 2017.
-
- Dufek JS, Bates BT, Stergiou N, James CR. Interactive effects between group and single-subject response patterns. Hum Mov Sci 14: 301–323, 1995.
-
- Havens KL, Sigward SM. Cutting mechanics: Relation to performance and anterior cruciate ligament injury risk. Med Sci Sport Exerc 47: 818–824, 2015.
MeSH terms
LinkOut - more resources
Full Text Sources
