Literature DB >> 30746299

CAN INJURY RISK CATEGORY BE CHANGED IN ATHLETES? AN ANALYSIS OF AN INJURY PREVENTION SYSTEM.

Bethany J Huebner, Phillip J Plisky, Kyle B Kiesel, Kate Schwartzkopf-Phifer.   

Abstract

BACKGROUND AND
PURPOSE: Researchers have used an injury risk algorithm utilizing demographic data, injury history, the Functional Movement Screen™ (FMS™) and Lower Quarter Y Balance Test™ (YBT™) scores to categorize individual injury risk. The purpose of this study was to identify if a group-based hybrid injury prevention program utilizing key factors from previous research with the addition of an individualized approach can modify the injury risk category of athletes. STUDY
DESIGN: Cohort Study.
METHODS: Forty-four female subjects (ages 14-17) were recruited from a local high school soccer team. Pre-participation testing included demographic data, injury history, FMS™ and YBT™ to determine if each athletes' injury risk category using the Move2Perform algorithm. Post-testing took place after an eight-week exercise-based intervention program was completed. McNemar analysis was utilized to assess changes in the injury risk categories.
RESULTS: A significant number of athletes (21 of 44) moved to lower risk categories at posttest (p=0.000; Z=-3.869). Of the 32 athletes in the High Risk category at pretest, 16 were Low Risk after the intervention (p=0.002).
CONCLUSIONS: A preseason, group injury prevention training program with individually prescribed corrective exercises, resulted in a significant number of subjects decreasing their injury risk category. The primary statistically significant decrease of injury risk category was seen in the Moderate Risk individuals moving down to Slight. There were three athletes that moved from the Substantial Risk category to Slight, however, this change was not statistically significant. LEVEL OF EVIDENCE: 2.

Entities:  

Keywords:  Movement system; injury prevention training program; risk category

Year:  2019        PMID: 30746299      PMCID: PMC6350661     

Source DB:  PubMed          Journal:  Int J Sports Phys Ther        ISSN: 2159-2896


  33 in total

1.  Biomechanical measures of neuromuscular control and valgus loading of the knee predict anterior cruciate ligament injury risk in female athletes: a prospective study.

Authors:  Timothy E Hewett; Gregory D Myer; Kevin R Ford; Robert S Heidt; Angelo J Colosimo; Scott G McLean; Antonie J van den Bogert; Mark V Paterno; Paul Succop
Journal:  Am J Sports Med       Date:  2005-02-08       Impact factor: 6.202

2.  Simplifying the star excursion balance test: analyses of subjects with and without chronic ankle instability.

Authors:  Jay Hertel; Rebecca A Braham; Sheri A Hale; Lauren C Olmsted-Kramer
Journal:  J Orthop Sports Phys Ther       Date:  2006-03       Impact factor: 4.751

3.  Interrater reliability of the functional movement screen.

Authors:  Kate I Minick; Kyle B Kiesel; Lee Burton; Aaron Taylor; Phil Plisky; Robert J Butler
Journal:  J Strength Cond Res       Date:  2010-02       Impact factor: 3.775

4.  The reliability of an instrumented device for measuring components of the star excursion balance test.

Authors:  Phillip J Plisky; Paul P Gorman; Robert J Butler; Kyle B Kiesel; Frank B Underwood; Bryant Elkins
Journal:  N Am J Sports Phys Ther       Date:  2009-05

5.  Pre-participation screening: the use of fundamental movements as an assessment of function - part 2.

Authors:  Gray Cook; Lee Burton; Barb Hoogenboom
Journal:  N Am J Sports Phys Ther       Date:  2006-08

6.  Can Serious Injury in Professional Football be Predicted by a Preseason Functional Movement Screen?

Authors:  Kyle Kiesel; Phillip J Plisky; Michael L Voight
Journal:  N Am J Sports Phys Ther       Date:  2007-08

7.  Star Excursion Balance Test as a predictor of lower extremity injury in high school basketball players.

Authors:  Phillip J Plisky; Mitchell J Rauh; Thomas W Kaminski; Frank B Underwood
Journal:  J Orthop Sports Phys Ther       Date:  2006-12       Impact factor: 4.751

8.  A nine-test screening battery for athletes: a reliability study.

Authors:  A Frohm; A Heijne; J Kowalski; P Svensson; G Myklebust
Journal:  Scand J Med Sci Sports       Date:  2011-03-16       Impact factor: 4.221

9.  Epidemiology of severe injuries among United States high school athletes: 2005-2007.

Authors:  Cory J Darrow; Christy L Collins; Ellen E Yard; R Dawn Comstock
Journal:  Am J Sports Med       Date:  2009-06-16       Impact factor: 6.202

10.  A comparison of Star Excursion Balance Test reach distances between ACL deficient patients and asymptomatic controls.

Authors:  Lee Herrington; Julian Hatcher; Alison Hatcher; Michael McNicholas
Journal:  Knee       Date:  2009-01-08       Impact factor: 2.199

View more
  4 in total

1.  THE EFFECT of ONE-ON-ONE INTERVENTION in ATHLETES with MULTIPLE RISK FACTORS for INJURY.

Authors:  Kate Schwartzkopf-Phifer; Robert A English; Carl G Mattacola; Emily V Dressler; Kyle B Kiesel
Journal:  Int J Sports Phys Ther       Date:  2019-06

Review 2.  Current Concepts in Arm Care Exercise Programs and Injury Risk Reduction in Adolescent Baseball Players: A Clinical Review.

Authors:  Kyle A Matsel; Robert J Butler; Terry R Malone; Matt C Hoch; Philip M Westgate; Tim L Uhl
Journal:  Sports Health       Date:  2021-01-29       Impact factor: 3.843

3.  Effects of functional correction training on injury risk of athletes: a systematic review and meta-analysis.

Authors:  Junxia Chen; Chunhe Zhang; Sheng Chen; Yuhua Zhao
Journal:  PeerJ       Date:  2021-03-25       Impact factor: 2.984

4.  A Nation-Wide Survey of High School Baseball Coaches' Perceptions Indicates their Arm Care Programs Play a Role in Injury Prevention.

Authors:  K A Matsel; E E Weiss; R J Butler; M C Hoch; P M Westgate; T R Malone; T L Uhl
Journal:  Int J Sports Phys Ther       Date:  2021-06-01
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.