Category: Athlete Development & Sports Rehabilitation; Clinical Practice (assessment, diagnosis, treatment, knowledge translation/EBP, implementation science, program development)
Objective : To investigate the predictability of the functional movement competence (FMC) in sports injuries.
Design : Prospective cohort study. Participants were followed for the whole soccer season included the pre-season (52 days) and competitive season (178 days).
Setting : Recruitments and data collection were conducted in the Austin Aztex Football Club played in the United Soccer League
Participants (or Animals, Specimens, Cadavers) : Twenty male professional soccer players (24.15 ± 2.54 years)volunteered to participate.
Interventions : Not applicable.
Main Outcome Measure(s) : FMC was assessed by the Advanced Lower Extremity Sports Assessment (ALESA) which contains eight subtests: (1) single leg hop (SLH), (2) single leg triple crossover hops (SLTCH), (3) side hops (SH), (4) figure-of-eight hops (Fig8), (5) modified agility T-test (MAT), (6) single leg squats (SLS), (7) single leg hops: stick series (SLHS), and (8) single leg balance (SLB). Limb symmetry index (LSI) was obtained by calculating the performance difference between non- and dominant legs. Sports injuries were reported and recorded daily by athletes and trainers. Multivariate Cox regression model and backward elimination method were used to identify and determine significant survival probability predictors.
Results : In the final survival model showing evident predictability of in-season injuries (Chi2(df=6) = 24.22, p R2 = .702), the SLB (HR= 0.73, z = 2.28, p= .022), MAT (HR= 0.86, z= 1.86, p= .063), and LSI (HR= 0.71, z= 2.6, p= .009) significantly, negatively correlate to survival probability, which means the better FMC the less possibility to get injured in season.
Conclusions : This study confirmed pre-season injury as an important risk factor, and the FMC measured by the ALESA also has excellent injury predictability.