Literature DB >> 29447910

Preventing non-contact ACL injuries in female athletes: What can we learn from dancers?

Catherine Turner1, Sarah Crow1, Thomas Crowther1, Brittany Keating1, Trenton Saupan1, Jason Pyfer1, Kimberly Vialpando1, Szu-Ping Lee2.   

Abstract

OBJECTIVES: To investigate the effects of dance experience and movement instruction on lower extremity kinematics and muscle activation during a landing task.
DESIGN: Cross-sectional case control.
SETTING: Laboratory setting. PARTICIPANTS: 27 female subjects (age 18-25) in 2 groups: dancers (n = 12) and non-dancers (n = 15). MAIN OUTCOME MEASURES: Lower extremity biomechanics during drop landing were analyzed. Subjects performed drop landings after watching an instructional video without verbal instructions (NI), followed by repeat assessment after watching the same videos with specific verbal instructions (VI). Surface electromyography (EMG) was used to measure the activation of gluteus maximus and medius during the deceleration phase of landings. Peak knee and hip frontal plane angles during landing were acquired using a 3-D motion capture system.
RESULTS: Compared to non-dancers, dancers demonstrated generally greater gluteus maximus activation and a decreased knee abduction (i.e. valgus) angle during drop landing. A significant interaction showed that instruction led to increased knee valgus angle in non-dancers but not dancers (p = .014).
CONCLUSIONS: Our findings suggest that experienced dancers demonstrate safer landing strategies compared to recreational athletes. Providing acute movement instruction was shown to disrupt the landing mechanics in those with no dance training experience.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ACL injury; Dancers; Female athletes; Instruction; Landing

Mesh:

Year:  2017        PMID: 29447910     DOI: 10.1016/j.ptsp.2017.12.002

Source DB:  PubMed          Journal:  Phys Ther Sport        ISSN: 1466-853X            Impact factor:   2.365


  1 in total

1.  Filtration Selection and Data Consilience: Distinguishing Signal from Artefact with Mechanical Impact Simulator Data.

Authors:  Nathan D Schilaty; Nathaniel A Bates; Ryo Ueno; Timothy E Hewett
Journal:  Ann Biomed Eng       Date:  2020-07-06       Impact factor: 3.934

  1 in total

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