Literature DB >> 28742606

Functional Movement Screening and Injury Rates in High School and Collegiate Runners: A Retrospective Analysis of 3 Prospective Observational Studies.

Benjamin V Bring1, Miriam Chan1, Robin C Devine2, Christy L Collins1, Jason Diehl1, Benjamin Burkam3.   

Abstract

OBJECTIVE: Determine if the Functional Movement Screening (FMS) can be used to predict injury in high school and collegiate cross-country and track runners.
DESIGN: Prospective Observational, Cohort Study, Level of Evidence, 2.
SETTING: High schools and colleges in the Central Ohio area. PATIENTS: Inclusion: (1) cross-country or track runners at participating schools; (2) full participation without restrictions; and (3) signed informed assent or consent. Exclusion: (1) Any injury or lower extremity surgery within 30 days; (2) planned limited participation in the upcoming season; or (3) other participation restrictions.
INTERVENTIONS: Functional Movement Screening was completed before the start of each season. Injuries were tracked during the regular season. No interventions were made based on FMS score. MAIN OUTCOME MEASURES: Functional Movement Screening scores, including overall, lower extremity, and specific exercises were compared between runners who did and did not sustain an injury using 2 sample t tests. A cutoff FMS score of ≤14 (most common in previous studies), and ≤15 (determined by a receiver operating characteristic curve), were compared using χ tests.
RESULTS: One hundred eighty-three runners were enrolled in the study. Overall, 32 (17.5%) runners sustained an injury. Functional Movement Screening score was not accurate in predicting injury for ≤14 (sensitivity: 65.6%; specificity: 39.7%; and area under the curve = 0.501) or ≤15 (sensitivity: 84.4% and specificity: 23.8%). There was no difference in risk of injury for runners with a FMS score of ≤14 (15.5%) and >14 (18.8%) (P = 0.572) or with a FMS score of ≤15 (17.5%) and >15 (17.4%) (P = 0.988).
CONCLUSIONS: Functional Movement Screening composite score may not be useful for injury prediction in populations of high school and collegiate runners.

Entities:  

Mesh:

Year:  2018        PMID: 28742606     DOI: 10.1097/JSM.0000000000000459

Source DB:  PubMed          Journal:  Clin J Sport Med        ISSN: 1050-642X            Impact factor:   3.638


  3 in total

1.  Factors Influencing the Relationship Between the Functional Movement Screen and Injury Risk in Sporting Populations: A Systematic Review and Meta-analysis.

Authors:  Emma Moore; Samuel Chalmers; Steve Milanese; Joel T Fuller
Journal:  Sports Med       Date:  2019-09       Impact factor: 11.136

2.  Can a Modified Y-Balance Test Predict Running Overuse Injuries over the Course of a Division I Collegiate Cross-Country Season?

Authors:  Hanz Tao; Creighton Thompson; Steven Weber
Journal:  Int J Sports Phys Ther       Date:  2021-12-01

3.  Biomechanical and Musculoskeletal Measurements as Risk Factors for Running-Related Injury in Non-elite Runners: A Systematic Review and Meta-analysis of Prospective Studies.

Authors:  Benjamin Peterson; Fiona Hawke; Martin Spink; Sean Sadler; Morgan Hawes; Robin Callister; Vivienne Chuter
Journal:  Sports Med Open       Date:  2022-03-07
  3 in total

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