Applied Neuromechanics Group, Federal University of Pampa, Uruguaiana, RS, Brazil. Electronic address: https://twitter.com/inaeoliveira.
Applied Neuromechanics Group, Federal University of Pampa, Uruguaiana, RS, Brazil; Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada. Electronic address: https://twitter.com/karinestoelben.
Phys Ther Sport. 2024 Sep;69:1-7. doi: 10.1016/j.ptsp.2024.06.008. Epub 2024 Jul 2.
To determine whether clinical screening tests can predict lower limb joint kinematics and kinetics outcomes eliciting anterior cruciate ligament (ACL) injury risk in single-leg landings.
Cross-sectional study.
Laboratory research.
Twenty-six professional male futsal athletes.
Participants completed the Modified Star Excursion Balance Test (mSEBT), Lateral Step Down (LSD), Lunge, Hop tests, and isometric strength tests for clinical screening of lower extremity injury risk and performed single-leg landings to assess lower extremity 3D kinematics and kinetics outcomes.
mSEBT, LSD, and isometric strength were the more important tests when constructing the prediction models. The predictive power of clinical tests for screening injury risk significantly increases when combined with strength measurements (p = 0.005, f = 0.595). We discerned 11 biomechanical predictions, six explicitly related to the sagittal plane's biomechanics. Some predictions were leg-dependent, with muscle strength tests predominantly predicting biomechanical outcomes of the preferred leg.
Combining clinical screening tests with strength measures enhances ACL injury risk factors prediction during single-leg landings. Clustering at least two tests improves prediction accuracy, aiding injury prevention planning and decision-making.
确定临床筛查测试是否可以预测单腿着陆时引发前交叉韧带(ACL)损伤风险的下肢关节运动学和动力学结果。
横断面研究。
实验室研究。
26 名专业男性五人制足球运动员。
参与者完成改良星状伸展平衡测试(mSEBT)、侧步下降(LSD)、弓步蹲、跳跃测试以及下肢损伤风险的等长力量测试,并进行单腿着陆以评估下肢 3D 运动学和动力学结果。
mSEBT、LSD 和等长力量是构建预测模型时更重要的测试。当将力量测量值与临床测试结合使用时,对损伤风险的筛查预测能力显著提高(p=0.005,f=0.595)。我们确定了 11 个生物力学预测指标,其中 6 个与矢状面的生物力学直接相关。一些预测指标与腿有关,肌肉力量测试主要预测优势腿的生物力学结果。
将临床筛查测试与力量测量值相结合可提高单腿着陆时 ACL 损伤风险因素的预测能力。至少聚类两种测试可以提高预测准确性,有助于制定预防计划和决策。