Relationships between Functional Movement Quality and Sprint and Jump Performance in Female Youth Soccer Athletes of Team China

This study aimed to determine the optimal functional movement screen (FMS) cut score for assessing the risk of sport injury, and to investigate the correlations between functional movement quality and sprint and jump performance. Twenty-four (N = 24) athletes performed all tests in one day at 10−30 min intervals, and the FMS test was performed first, without a warm-up session. After a standard warm-up, athletes then completed the Y-balance Test (YBT), sprint, counter-movement jump (CMJ), and standing long jump (SLJ), in turn. For each test, the best of three attempts was recorded for further analysis. A receiver operating characteristic (ROC) curve and area-under-the-curve (AUC) were used to determine the optimal FMS cut score for assessing the risk of sport injuries, and Spearman’s rank correlation analysis was used to quantify associations between functional movement scores and athletic performance. The average FMS score was 16.2 and the optimal FMS cut score for assessing the risk of sport injuries was 14.5. There were moderate relationships between total FMS score and 10−20 m sprint time (r = −0.46, p 0.05). Taken together, the results indicate that a FMS score of 14 is not a gold standard for assessing the risk of injury in all populations; we recommend that the FMS cut score of 14.5 should be the optimal score for assessing risk of injury in young female elite soccer players. Moreover, the FMS and YBT were introduced to assess the quality of functional movements, and they cannot be used to assess sprint and jump performance. Practitioners can use components of the FMS that have similar characteristics to specific sports to assess athletic performance

Athletes · Balance (ability · Balance test · Functional movement · Jump · Physical medicine and rehabilitation · Physical therapy · Rank correlation · Receiver operating characteristic · Spearman's rank correlation coefficient · Sprint · Statistics · Test (biology · Trunk · Lower Extremity Biomechanics and Pathologies · Mathematics · Medicine · Psychology · Sports injuries and prevention · Sports Performance and Training · Internal Medicine

• Progressive Statistics for Studies in Sports Medicine and Exercise Science

  William G Hopkins, Will G Hopkins et al.•Medicine & Science in Sports &…•2009

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