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首页> 外文期刊>Orthopaedic Journal of Sports Medicine >Utilization of ACL Injury Biomechanical and Neuromuscular Risk Profile Analysis to determine the effectiveness of Neuromuscular Training
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Utilization of ACL Injury Biomechanical and Neuromuscular Risk Profile Analysis to determine the effectiveness of Neuromuscular Training

机译:利用ACL损伤生物力学和神经肌肉风险特征分析来确定神经肌肉训练的有效性

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摘要

Objectives: Over 125,000 anterior cruciate ligament (ACL) injuries occur each year in the United States. External loads on the knee in the frontal plane, specifically the knee abduction moment (KAM), predict future ACL injury with high sensitivity and specificity. The purpose of this randomized controlled trial (RCT) was to determine if biomechanical and neuromuscular factors could be used to characterize athletes by distinct factor profiles, to examine if neuromuscular training (NMT) would decrease the potential risk factors, and if NMT would preferentially benefit athletes that exhibited specific risk profiles. The hypotheses tested were: 1) a priori chosen biomechanical and neuromuscular factors would characterize subjects into distinct at-risk profiles, 2) NMT would decrease biomechanical and neuromuscular factors related to increased injury risk and 3) the decrease in these biomechanical and neuromuscular factors would be greater in those athletes characterized by the overall higher risk profiles. Methods: A total of 624 female athletes from 52 basketball, soccer and volleyball teams participated and were screened prior to their competitive season. During the pre-season testing, the athletes performed 3 different types of tasks for which biomechanical measures were taken: 1) drop vertical jump (DVJ), 2) single leg drop (SLD), and 3) single leg cross drop (SCD) landings. Using data from these tasks a latent profile analysis (LPA) was conducted to identify distinct profiles based on pre-intervention biomechanical and neuromuscular measures. As a validation, we examined whether the profile membership was significant predictor of KAM. Analysis of Co-Variance (ANCOVA) was used to examine treatment effects of NMT on biomechanical and neuromuscular measures in the 375 athletes who completed both pre- and post-intervention tasks. Differences were considered statistically significant at p<0.05. Results: LPA using six pre-intervention biomechanical measures selected a priori resulted in three distinct profiles. Athletes in profiles II and III had significant higher KAM, compared to Profile I. The Core/Trunk-based NMT significantly increased hip external rotation moments and moment impulse and increased peak trunk flexion and decreased extension. In addition, the treatment effect of NMT varied by pre-intervention risk profile. Athletes with pre-intervention risk Profile II and III (higher risk) had a more significant treatment effect of NMT than Profile I. Conclusion: This is the first study to use LPA analysis of biomechanical landing data to create KAM and potentially ACL injury risk profiles. The LPA of multiple biomechanical and neuromuscular measures identified three distinct risk groups; associated with differences in peak KAM Analysis of the RCT showed that NMT significantly increased hip external rotation moments and moment impulse and increased peak trunk flexion and decreased extension, and that alterations in risk factors are different across risk profile group, with higher risk groups showing an overall significant improvement in KAM. These findings show the existence of discernable groups of athletes that are more appropriate for NMT intervention; further study is needed in even larger cohorts to investigate ACL injury as our primary outcome variable.
机译:目标:在美国,每年发生超过125,000的前交叉韧带(ACL)损伤。额叶膝盖上的外部负荷,特别是膝盖外展力矩(KAM),以高灵敏度和高特异性预测未来的ACL损伤。这项随机对照试验(RCT)的目的是确定是否可以使用生物力学和神经肌肉因素通过不同的因素概况来表征运动员的特征,检查神经肌肉训练(NMT)是否会降低潜在的危险因素以及NMT是否会优先受益表现出特定风险特征的运动员。检验的假设是:1)先验选择的生物力学和神经肌肉因素将受试者表征为不同的风险状况; 2)NMT会降低与受伤风险增加相关的生物力学和神经肌肉因素; 3)这些生物力学和神经肌肉因素的减少将以总体风险较高为特征的运动员表现得更好。方法:来自52个篮球,足球和排球队的624名女运动员参加了比赛,并在比赛季节之前进行了筛选。在赛季前的测试中,运动员执行了3种不同类型的任务,并采取了生物力学措施:1)垂直跌落(DVJ),2)单脚跌落(SLD)和3)单脚斜降(SCD)着陆。使用来自这些任务的数据,进行了潜在的轮廓分析(LPA),以基于干预前的生物力学和神经肌肉测量来识别不同的轮廓。作为验证,我们检查了配置文件成员身份是否是KAM的重要预测因子。使用协方差分析(ANCOVA)来检查NMT对375名完成干预前和干预后任务的运动员的生物力学和神经肌肉指标的治疗效果。差异被认为具有统计学意义,p <0.05。结果:LPA使用六个先期干预前的生物力学措施进行了先验选择,产生了三个不同的曲线。与配置文件I相比,配置文件II和III中的运动员具有更高的KAM。基于核心/躯干的NMT显着增加了髋关节外部旋转力矩和力矩冲量,并且增加了躯干的最大屈曲度和伸展性。此外,NMT的治疗效果因干预前的风险状况而异。干预前风险为II和III的运动员(较高风险)对NMT的治疗效果比I更为明显。结论:这是第一项使用LPA生物力学着陆数据分析来创建KAM和潜在ACL损伤风险特征的研究。多种生物力学和神经肌肉措施的LPA确定了三个不同的风险组。与峰值KAM差异相关​​的RCT分析表明,NMT显着增加了髋关节的外部旋转力矩和力矩冲动,增加了躯干的最大屈曲度和伸展度,并且在不同风险组之间,风险因素的变化也不同,较高风险组显示KAM的整体显着改善。这些发现表明存在更适合NMT干预的可辨别运动员群体。在更大的队列中还需要进一步研究,以将ACL损伤作为我们的主要结果变量进行调查。

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