Monique Mokha1, Peter A Sprague2, Dustin R Gatens3. 1. Departments of * Health and Human Performance. 2. Physical Therapy, and. 3. Athletics, Nova Southeastern University, Davie, FL.
Abstract
CONTEXT: Functional Movement Screen (FMS) scores of ≤14 have been used to predict injury in athletic populations. Movement asymmetries and poor-quality movement patterns in other functional tests have been shown to predict musculoskeletal injury (MSI). Therefore, movement asymmetry or poor-quality movement patterns on the FMS may have more utility in predicting MSI than the composite score. OBJECTIVE: To determine if an asymmetry or score of 1 on an individual FMS test would predict MSI in collegiate athletes. DESIGN: Cohort study. SETTING: National Collegiate Athletic Association Division II university athletic program. PATIENTS OR OTHER PARTICIPANTS: A total of 84 Division II rowers, volleyball players, and soccer players (men: n = 20, age = 20.4 ± 1.3 years, height = 1.77 ± 0.04 m, mass = 73.5 ± 4.8 kg; women: n = 64, age = 19.1 ± 1.2 years, height = 1.69 ± 0.09 m, mass = 64.8 ± 9.4 kg). MAIN OUTCOME MEASURE(S): The FMS was administered during preseason preparticipation examinations. Injury-incidence data were tracked for an academic year by each team's certified athletic trainer via computer software. An MSI was defined as physical damage to the body secondary to athletic activity or an event for which the athlete sought medical care, and resulted in modified training or required protective splitting or taping. Composite FMS scores were categorized as low (≤14) or high (>14). Pearson χ(2) analyses were used to determine if MSI could be predicted by the composite FMS score or an asymmetry or score of 1 on an individual FMS test (P < .05). RESULTS: Athletes with FMS scores of ≤14 were not more likely to sustain an injury than those with higher scores (relative risk = 0.68, 95% confidence interval = 0.39, 1.19; P = .15). However, athletes with an asymmetry or individual score of 1 were 2.73 times more likely to sustain an injury than those without (relative risk = 2.73, 95% confidence interval = 1.36, 5.4; P = .001). CONCLUSIONS: Asymmetry or a low FMS individual test score was a better predictor of MSI than the composite FMS score.
CONTEXT: Functional Movement Screen (FMS) scores of ≤14 have been used to predict injury in athletic populations. Movement asymmetries and poor-quality movement patterns in other functional tests have been shown to predict musculoskeletal injury (MSI). Therefore, movement asymmetry or poor-quality movement patterns on the FMS may have more utility in predicting MSI than the composite score. OBJECTIVE: To determine if an asymmetry or score of 1 on an individual FMS test would predict MSI in collegiate athletes. DESIGN: Cohort study. SETTING: National Collegiate Athletic Association Division II university athletic program. PATIENTS OR OTHER PARTICIPANTS: A total of 84 Division II rowers, volleyball players, and soccer players (men: n = 20, age = 20.4 ± 1.3 years, height = 1.77 ± 0.04 m, mass = 73.5 ± 4.8 kg; women: n = 64, age = 19.1 ± 1.2 years, height = 1.69 ± 0.09 m, mass = 64.8 ± 9.4 kg). MAIN OUTCOME MEASURE(S): The FMS was administered during preseason preparticipation examinations. Injury-incidence data were tracked for an academic year by each team's certified athletic trainer via computer software. An MSI was defined as physical damage to the body secondary to athletic activity or an event for which the athlete sought medical care, and resulted in modified training or required protective splitting or taping. Composite FMS scores were categorized as low (≤14) or high (>14). Pearson χ(2) analyses were used to determine if MSI could be predicted by the composite FMS score or an asymmetry or score of 1 on an individual FMS test (P < .05). RESULTS: Athletes with FMS scores of ≤14 were not more likely to sustain an injury than those with higher scores (relative risk = 0.68, 95% confidence interval = 0.39, 1.19; P = .15). However, athletes with an asymmetry or individual score of 1 were 2.73 times more likely to sustain an injury than those without (relative risk = 2.73, 95% confidence interval = 1.36, 5.4; P = .001). CONCLUSIONS: Asymmetry or a low FMS individual test score was a better predictor of MSI than the composite FMS score.
Entities:
Keywords:
movement patterns; risk factors; sport injury
Authors: Darin T Leetun; Mary Lloyd Ireland; John D Willson; Bryon T Ballantyne; Irene McClay Davis Journal: Med Sci Sports Exerc Date: 2004-06 Impact factor: 5.411
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
Authors: Bohdanna T Zazulak; Timothy E Hewett; N Peter Reeves; Barry Goldberg; Jacek Cholewicki Journal: Am J Sports Med Date: 2007-04-27 Impact factor: 6.202
Authors: James A Onate; Thomas Dewey; Roger O Kollock; Kathleen S Thomas; Bonnie L Van Lunen; Marlene DeMaio; Stacie I Ringleb Journal: J Strength Cond Res Date: 2012-02 Impact factor: 3.775
Authors: John A Grant; Asheesh Bedi; Jennifer Kurz; Richard Bancroft; Joel J Gagnier; Bruce S Miller Journal: Sports Health Date: 2015-01 Impact factor: 3.843
Authors: Jason Brumitt; Victor Wilson; Natalie Ellis; Jordan Petersen; Christopher John Zita; Jordon Reyes Journal: Int J Sports Phys Ther Date: 2018-06