Sanford Sports Science Institute, Sanford Health, Sioux Falls, South Dakota.
Sanford Orthopedics and Sports Medicine, Sanford Health, Sioux Falls, South Dakota.
J Strength Cond Res. 2019 Jun;33(6):1589-1600. doi: 10.1519/JSC.0000000000001944.
Bond, CW, Dorman, JC, Odney, TO, Roggenbuck, SJ, Young, SW, and Munce, TA. Evaluation of the functional movement screen and a novel basketball mobility test as an injury prediction tool for collegiate basketball players. J Strength Cond Res 33(6): 1590-1601, 2019-Identifying injury risk and implementing preventive measures can assist in reducing injury occurrence and may ultimately improve athletic performance. Improper movement patterns often contribute to musculoskeletal (MSK) injuries. The validity of the Functional Movement Screen (FMS) as an injury prediction tool for athletes remains unclear. We designed the Basketball-Specific Mobility Test (BMT) to represent the neuromuscular demands of basketball and identify deficiencies that may be indicative of greater MSK injury risk while playing this sport. The aim of this study was to examine the association of FMS and BMT scores with injury occurrence in collegiate basketball players. We hypothesized that the BMT would be a better predictor of injury risk than the FMS, and that scores from both tests would have a higher association with severe MSK injuries than minor, non-MSK injuries. One-hundred nineteen male and female collegiate basketball players from 4 Upper Midwest universities were assessed preseason (PRE) and postseason (POST) using the FMS and BMT. In-season injury records were collected from the schools' athletic trainers and were classified by type and severity. During the season, 56 of 119 players were injured, resulting in 96 total injuries. Injured athletes' PRE FMS scores demonstrated negligible effects compared with uninjured athletes' PRE scores (d < 0.20), whereas some BMT scores showed potentially meaningful effects (d > 0.20). Although specificity of the FMS and BMT to predict injury was relatively high (FMS 85.7-87.6; BMT 42.0-88.0), sensitivity (FMS 14.2-22.7; BMT 11.6-39.1), odds ratios (FMS 1.00-2.08; BMT 0.47-1.06), and injury prediction capacities (area under the curve; FMS 0.43-0.49; BMT 0.49-0.59) of the tests were low. Although the FMS and BMT may be suitable for identifying MSK deficiencies, they do not accurately determine injury risk in collegiate basketball players. Injury risk assessments may be improved by targeting specific injury mechanisms and the conditions in which they occur.
邦德,CW,多曼,JC,奥丹尼,TO,罗根巴克,SJ,杨,SW 和芒斯,TA。功能性运动筛查和新型篮球活动能力测试作为大学生篮球运动员损伤预测工具的评估。J 力量与调理研究 33(6):1590-1601,2019 年-识别损伤风险并采取预防措施有助于减少损伤发生,并可能最终提高运动表现。运动模式不当通常会导致肌肉骨骼(MSK)损伤。功能性运动筛查(FMS)作为运动员损伤预测工具的有效性尚不清楚。我们设计了篮球专项活动能力测试(BMT)来代表篮球的神经肌肉需求,并确定可能表明在进行这项运动时 MSK 损伤风险更高的缺陷。本研究的目的是检查 FMS 和 BMT 分数与大学生篮球运动员受伤之间的关系。我们假设 BMT 将是更好的损伤风险预测指标,并且两个测试的分数与严重的 MSK 损伤比轻微的非 MSK 损伤的关联更高。来自中西部 4 所大学的 119 名男性和女性大学生篮球运动员在赛季前(PRE)和赛季后(POST)使用 FMS 和 BMT 进行了评估。从学校的运动训练师那里收集了赛季中的受伤记录,并按类型和严重程度进行了分类。在赛季中,119 名运动员中有 56 名受伤,导致 96 次总受伤。受伤运动员的 PRE FMS 分数与未受伤运动员的 PRE 分数相比显示出可忽略的影响(d <0.20),而一些 BMT 分数显示出潜在的有意义的影响(d>0.20)。尽管 FMS 和 BMT 预测损伤的特异性相对较高(FMS 85.7-87.6;BMT 42.0-88.0),但敏感性(FMS 14.2-22.7;BMT 11.6-39.1),优势比(FMS 1.00-2.08;BMT 0.47-1.06)和测试的损伤预测能力(曲线下面积;FMS 0.43-0.49;BMT 0.49-0.59)较低。尽管 FMS 和 BMT 可能适用于识别 MSK 缺陷,但它们并不能准确确定大学生篮球运动员的损伤风险。通过针对特定的损伤机制和发生损伤的条件,可能会提高损伤风险评估。