Silva Bruno, Clemente Filipe Manuel, Camões Miguel, Bezerra Pedro
Escola Superior de Desporto e Lazer, Instituto Politécnico de Viana do Castelo, 4960-320 Viana do Castelo, Portugal.
Delegação da Covilhã, Instituto de Telecomunicações, 6201-001 Covilhã, Portugal.
Sports (Basel). 2017 Feb 21;5(1):16. doi: 10.3390/sports5010016.
This study had two main objectives: (1) to determine if differences in Functional Movement Screen (FMS) scores exist between two levels of competition; and (2) to analyze the association between FMS individual and overall scores and physical performance variables of lower-limb power (jumps), repeated sprint ability and shot speed. Twenty-two Under 16 (U16) and twenty-six Under 19 (U19) national competitive soccer players participated in this study. All participants were evaluated according to anthropometrics, FMS, jump performance, instep kick speed and anaerobic performance. There were no significant differences in the individual FMS scores between competitive levels. There were significant negative correlations between hurdle step (right) and Running-based Anaerobic Sprint Test (RAST) power average ( ρ = -0.293; = 0.043) and RAST fatigue index (RAST FatIndex) ( ρ = -0.340; = 0.018). The hurdle step (left) had a significant negative correlation to squat jump (SJ) ( ρ = -0.369; = 0.012). Rotary stability had a significant negative correlation to RAST fatigue index (Right: ρ = -0.311; = 0.032. Left: ρ = -0.400; = 0.005). The results suggest that individual FMS scores may be better discriminants of performance than FMS total score and established minimal association between FMS scores and physical variables. Based on that, FMS may be suitable for the purposes of determining physical function but not for discriminating physical performance.
(1)确定两个竞技水平之间的功能性动作筛查(FMS)分数是否存在差异;(2)分析FMS个人和总分与下肢力量(跳跃)、反复冲刺能力和射门速度等身体表现变量之间的关联。22名16岁以下(U16)和26名19岁以下(U19)的国家竞技足球运动员参与了本研究。所有参与者均根据人体测量学、FMS、跳跃表现、脚背射门速度和无氧表现进行评估。竞技水平之间的FMS个人分数没有显著差异。跨栏步(右侧)与基于跑步的无氧冲刺测试(RAST)功率平均值(ρ = -0.293;P = 0.043)和RAST疲劳指数(RAST FatIndex)(ρ = -0.340;P = 0.018)之间存在显著负相关。跨栏步(左侧)与深蹲跳(SJ)存在显著负相关(ρ = -0.369;P = 0.012)。旋转稳定性与RAST疲劳指数存在显著负相关(右侧:ρ = -0.311;P = 0.032。左侧:ρ = -0.400;P = 0.005)。结果表明,FMS个人分数可能比FMS总分更能有效区分表现,并且FMS分数与身体变量之间的关联极小。基于此,FMS可能适用于确定身体功能,但不适用于区分身体表现。