Mokha Monique, Sprague Peter A, Gatens Dustin R
Departments of * Health and Human Performance.
Physical Therapy, and.
J Athl Train. 2016 Apr;51(4):276-82. doi: 10.4085/1062-6050-51.2.07. Epub 2016 Jan 21.
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.
To determine if an asymmetry or score of 1 on an individual FMS test would predict MSI in collegiate athletes.
Cohort study.
National Collegiate Athletic Association Division II university athletic program.
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).
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).
Asymmetry or a low FMS individual test score was a better predictor of MSI than the composite FMS score.
功能性动作筛查(FMS)得分≤14已被用于预测运动员群体中的损伤情况。其他功能测试中的动作不对称和低质量动作模式已被证明可预测肌肉骨骼损伤(MSI)。因此,FMS上的动作不对称或低质量动作模式在预测MSI方面可能比综合得分更有用。
确定FMS单项测试中出现的不对称或得分为1是否能预测大学生运动员的MSI。
队列研究。
美国国家大学体育协会二级大学体育项目。
总共84名二级赛艇运动员、排球运动员和足球运动员(男性:n = 20,年龄 = 20.4 ± 1.3岁,身高 = 1.77 ± 0.04米,体重 = 73.5 ± 4.8千克;女性:n = 64,年龄 = 19.1 ± 1.2岁,身高 = 1.69 ± 0.09米,体重 = 64.8 ± 9.4千克)。
在赛季前参与检查期间进行FMS测试。每个团队的认证运动训练师通过计算机软件跟踪一学年的损伤发生率数据。MSI被定义为因体育活动或事件导致身体受到的物理损伤,运动员为此寻求医疗护理,并导致训练调整或需要保护性夹板固定或包扎。FMS综合得分分为低(≤14)或高(>14)。使用Pearson χ(2)分析来确定MSI是否可以通过FMS综合得分或FMS单项测试中的不对称或得分为1来预测(P < 0.05)。
FMS得分≤14的运动员受伤的可能性并不比得分较高的运动员更高(相对风险 = 0.68,95%置信区间 = 0.39,1.19;P = 0.15)。然而,存在不对称或单项得分为1的运动员受伤的可能性是没有这些情况的运动员的2.73倍(相对风险 = 2.73,95%置信区间 = 1.36,5.4;P = 0.001)。
不对称或FMS单项测试得分低比FMS综合得分更能预测MSI。