Straub Rachel K, Powers Christopher M
University of Southern California, Division of Biokinesiology & Physical Therapy, Los Angeles, CA, USA.
University of Southern California, Division of Biokinesiology & Physical Therapy, Los Angeles, CA, USA.
Gait Posture. 2025 Feb;116:22-29. doi: 10.1016/j.gaitpost.2024.11.013. Epub 2024 Nov 20.
ACL injuries commonly occur in non-contact situations, particularly in sports involving jumping, landing, and cutting. Numerous biomechanical predictors for non-contact ACL injury have been proposed, yet existing reviews on biomechanical predictors vary in scope and findings.
This review aims to identify biomechanical predictors of primary ACL injury using a scoping review.
PubMed and EBSCO host (CINAHL Complete, MEDLINE Complete, SPORTDiscus) were searched from inception to March 1, 2023. Prospective studies that (1) examined discrete kinematic/kinetic variables during whole body movements (e.g., landing from a jump, cutting, and single-leg squatting) using 3D lab-based motion analysis, 2D video, or observational (non-instrumented) methods; and (2) produced a prediction model for the association between biomechanical variables (independent variable) and primary ACL injury (dependent variable) were included.
11 studies were included. Jump-landing tasks were the most studied (9 studies), followed by change in direction (2 studies) and single-leg squatting (2 studies). Significant biomechanical predictors for non-contact ACL injury were reported in 7 studies during jump-landing/change in directions tasks. Kinematic predictors included decreased flexion (hip and knee) and increased knee valgus/internal rotation. Kinetic predictors included increased vertical ground reaction forces (landing/takeoff) and increased knee moments (valgus and knee extensor). Limited/conflicting evidence was found for all predictors. None of studies that employed 2D or observational methods (n=3) were able to identify predictors of ACL injury.
Biomechanical predictors of primary ACL injury were identified in 7 of 11 prospective studies included within this scoping review. The majority of the reported risk factors were identified using the drop jump, which was the most studied task (8 of 11 studies). The lack of standardization in biomechanical testing across studies limits the determination of specific predictive variables for primary ACL injury.
前交叉韧带(ACL)损伤通常发生在非接触情况下,尤其是在涉及跳跃、着陆和变向的运动中。已经提出了许多非接触性ACL损伤的生物力学预测指标,但现有的关于生物力学预测指标的综述在范围和研究结果上存在差异。
本综述旨在通过范围综述确定原发性ACL损伤的生物力学预测指标。
检索了PubMed和EBSCO主机(CINAHL Complete、MEDLINE Complete、SPORTDiscus),检索时间从数据库建立至2023年3月1日。纳入的前瞻性研究需满足:(1)使用基于实验室的3D运动分析、2D视频或观察(非仪器化)方法,在全身运动(如从跳跃着陆、变向和单腿蹲)过程中检查离散的运动学/动力学变量;(2)建立生物力学变量(自变量)与原发性ACL损伤(因变量)之间关联的预测模型。
共纳入11项研究。跳跃着陆任务的研究最多(9项),其次是变向(2项)和单腿蹲(2项)。7项研究报告了跳跃着陆/变向任务中与非接触性ACL损伤相关的显著生物力学预测指标。运动学预测指标包括(髋和膝)屈曲减少以及膝外翻/内旋增加。动力学预测指标包括垂直地面反作用力(着陆/起飞)增加和膝关节力矩(外翻和膝关节伸肌)增加。所有预测指标的证据有限/相互矛盾。采用2D或观察方法的研究(n = 3)均未识别出ACL损伤的预测指标。
在本范围综述纳入的11项前瞻性研究中,有7项确定了原发性ACL损伤的生物力学预测指标。报告的大多数风险因素是通过下落跳确定的,下落跳是研究最多的任务(11项研究中的8项)。各研究生物力学测试缺乏标准化,限制了对原发性ACL损伤特定预测变量的确定。