ABSTRACT
This study compared the efficacy of linear, non-linear and differential methods on variables related to ACL injury risk of a side-step cutting task in male and female basketball players. Thirty males and thirty females practiced basketball skills in sixty 90-minute sessions across 5 months. Ten players trained in each of the LP, NLP and DL female/male groups separately. Before and after the intervention, each player was tested on a side-step cutting task. A repeated 3 × 2 × 2 factorial ANOVA with repeated measures was performed for each biomechanical variable. Variables (trunk, hip, and knee flexion angle, knee valgus angle, ankle dorsiflexion angle, hip, knee, and ankle ROM, peak VGRF and knee extension/flexion, knee moment and ankle dorsiflexion moment) all revealed significant test by group interactions (P < 0.05) but no significant group by sex interactions (P > 0.05). In both sex, biomechanical changes were better in the NLP, followed by the DL and LP. It is argued that the advantage of the NLP method results from increased exploration of movement solutions induced by the manipulation of task constraints. Therefore, according to the NLP, it is possible to manipulate the constraints without feedback and the model/pattern can keep the athlete away from possible risks.
Acknowledgements
This paper is based on a research project that has been done at the University of Mohaghegh Ardabili in Iran.
Disclosure statement
No potential conflict of interest was reported by the authors.
We do not have the foundation resources.
Ethical approval
All procedures performed in this study were in accordance with ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent
The study was approved by Institutional Review Board in Mohaghegh Ardabili University. All participants signed an informed consent form.
Code of ethics
IR.UMA.REC.1400.020
Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/15438627.2023.2209248.
Notes
1. Approximate percent change of NLP.
2. Approximate percent change of DL.