Literature DB >> 25264669

Efficacy of functional movement screening for predicting injuries in coast guard cadets.

Joseph J Knapik1, Ludimila M Cosio-Lima, Katy L Reynolds, Richard S Shumway.   

Abstract

Functional movement screening (FMS) examines the ability of individuals to perform highly specific movements with the aim of identifying individuals who have functional limitations or asymmetries. It is assumed that individuals who can more effectively accomplish the required movements have a lower injury risk. This study determined the ability of FMS to predict injuries in the United States Coast Guard (USCG) cadets. Seven hundred seventy male and 275 female USCG freshman cadets were administered the 7 FMS tests before the physically intense 8-week Summer Warfare Annual Basic (SWAB) training. Physical training-related injuries were recorded during SWAB training. Cumulative injury incidence was calculated at various FMS cutpoint scores. The ability of the FMS total score to predict injuries was examined by calculating sensitivity and specificity. Determination of the FMS cutpoint that maximized specificity and sensitivity was determined from the Youden's index (sensitivity + specificity - 1). For men, FMS scores ≤ 12 were associated with higher injury risk than scores >12; for women, FMS scores ≤ 15 were associated with higher injury risk than scores >15. The Youden's Index indicated that the optimal FMS cutpoint was ≤ 11 for men (22% sensitivity, 87% specificity) and ≤ 14 for women (60% sensitivity, 61% specificity). Functional movement screening demonstrated moderate prognostic accuracy for determining injury risk among female Coast Guard cadets but relatively low accuracy among male cadets. Attempting to predict injury risk based on the FMS test seems to have some limited promise based on the present and past investigations.

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Mesh:

Year:  2015        PMID: 25264669     DOI: 10.1519/JSC.0000000000000704

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  18 in total

Review 1.  Reliability and Association with Injury of Movement Screens: A Critical Review.

Authors:  Robert McCunn; Karen Aus der Fünten; Hugh H K Fullagar; Ian McKeown; Tim Meyer
Journal:  Sports Med       Date:  2016-06       Impact factor: 11.136

Review 2.  Predicting sport and occupational lower extremity injury risk through movement quality screening: a systematic review.

Authors:  Jackie L Whittaker; Nadine Booysen; Sarah de la Motte; Liz Dennett; Cara L Lewis; Dave Wilson; Carly McKay; Martin Warner; Darin Padua; Carolyn A Emery; Maria Stokes
Journal:  Br J Sports Med       Date:  2016-12-01       Impact factor: 13.800

3.  PREDICTION OF FUNCTIONAL MOVEMENT SCREEN™ PERFORMANCE FROM LOWER EXTREMITY RANGE OF MOTION AND CORE TESTS.

Authors:  Nicole J Chimera; Shelby Knoeller; Ron Cooper; Nicholas Kothe; Craig Smith; Meghan Warren
Journal:  Int J Sports Phys Ther       Date:  2017-04

4.  Prediction of Injuries and Injury Types in Army Basic Training, Infantry, Armor, and Cavalry Trainees Using a Common Fitness Screen.

Authors:  JoEllen M Sefton; K R Lohse; J S McAdam
Journal:  J Athl Train       Date:  2016-11       Impact factor: 2.860

5.  Use of clinical movement screening tests to predict injury in sport.

Authors:  Nicole J Chimera; Meghan Warren
Journal:  World J Orthop       Date:  2016-04-18

6.  CrossFit athletes exhibit high symmetry of fundamental movement patterns. A cross-sectional study.

Authors:  Silvio Tafuri; Angela Notarnicola; Antonello Monno; Francesco Ferretti; Biagio Moretti
Journal:  Muscles Ligaments Tendons J       Date:  2016-05-19

7.  Comprehensive movement system screening tool (MSST) for athletes: Development and measurement properties.

Authors:  Courtney M Butowicz; Marisa Pontillo; David Ebaugh; Sheri P Silfies
Journal:  Braz J Phys Ther       Date:  2019-11-01       Impact factor: 3.377

8.  The Interrelationship of Common Clinical Movement Screens: Establishing Population-Specific Norms in a Large Cohort of Military Applicants.

Authors:  Sarah J de la Motte; Timothy C Gribbin; Peter Lisman; Anthony I Beutler; Patricia Deuster
Journal:  J Athl Train       Date:  2016-11-10       Impact factor: 2.860

9.  Developing predictive models for return to work using the Military Power, Performance and Prevention (MP3) musculoskeletal injury risk algorithm: a study protocol for an injury risk assessment programme.

Authors:  Daniel I Rhon; Deydre S Teyhen; Scott W Shaffer; Stephen L Goffar; Kyle Kiesel; Phil P Plisky
Journal:  Inj Prev       Date:  2016-11-24       Impact factor: 2.399

10.  Study of the measurement and predictive validity of the Functional Movement Screen.

Authors:  Fraser Philp; Dimitra Blana; Edward K Chadwick; Caroline Stewart; Claire Stapleton; Kim Major; Anand D Pandyan
Journal:  BMJ Open Sport Exerc Med       Date:  2018-05-07
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