Real-time Sensorimotor Feedback for Injury Prevention Assessed in Virtual Reality
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 420
- 试验地点
- 2
- 主要终点
- Change in Knee Abduction Moment
研究概览
简要总结
Traumatic, debilitating anterior cruciate ligament (ACL) injuries occur at a 2 to 10-fold greater rate in female than male athletes. Consequently, there is a larger population of females that endure significant pain, functional limitations, and radiographic signs of knee osteoarthritis (OA) within 12 to 20 years following injury. To reduce the burden of OA, The National Public Health Agenda for Osteoarthritis recommends expanding and refining evidence-based prevention of ACL injury. Specialized training that targets modifiable risk factors shows statistical efficacy in high-risk athletes; however, clinically meaningful reduction of risk has not been achieved. A critical barrier that limits successful training outcomes is the requirement of qualified instructors to deliver personalized, intuitive, and accessible feedback to young athletes. Thus, a key gap in knowledge is how to efficiently deliver objective, effective feedback during training for injury prevention. The investigators long-term goal is to reduce ACL injuries and the subsequent sequela in young female athletes. The overall objective of this proposal is to implement and test innovative augmented neuromuscular training (aNMT) techniques to enhance sensorimotor learning and reduce biomechanical risk factors for ACL injury. The rationale that underlies this proposal is that, after completion, the investigators will be equipped to more effectively deliver biofeedback and decelerate the trend of increasing ACL injury rates in female athletes. This contribution will be significant for the reduction of the long-term sequel following ACL injury in young females.
详细描述
Augmented neuromuscular training (aNMT) integrates biomechanical screening with state-of-the-art augmented reality headsets to display real-time feedback that maps complex biomechanical variables onto simple visual feedback stimuli that athletes "control" via their own movements. The central hypothesis is that aNMT biofeedback will improve joint mechanics in evidence-based measures collected in realistic, sport-specific virtual reality scenarios. Specifically, the purpose of this investigation is to determine the efficacy of aNMT biofeedback to improve high-risk landing mechanics both in a laboratory task and during sport-specific scenarios. Based on the investigator's preliminary data, the investigators hypothesize that aNMT biofeedback will produce greater improvements in localized joint mechanics compared to neuromuscular training that incorporates sham feedback during the drop vertical jump (DVJ) task. In the secondary Aim, the investigators hypothesize aNMT will produce improved localized joint mechanics and global injury risk techniques during sport-specific maneuvers assessed in immersive virtual environments compared to the sham feedback. The expected outcomes will support increased efficiency and enhanced efficacy of feedback for personalized and targeted injury prevention training. The positive impact will be the improvement of injury risk mechanics and the potential to reduce injury on the field of play. A randomized, repeated-measures design will be used to test the two hypotheses for Aim 1: First, that aNMT will produce greater improvements in localized joint mechanics compared to the sham feedback group during the DVJ task; second, based on the preliminary data the investigators expect that innovative aNMT will lead to graduated joint improvements and reduced global injury risk mechanics that will exceed the overall task transferred reductions in high risk biomechanics following 12 real-time biofeedback training sessions. Previously described techniques will be used to measure biomechanical risk factors during a DVJ task performed at the beginning and end of the 6-week pre-competition training period. Athletes will be randomized into one of two groups: 1) aNMT biofeedback or (2) sham (augmented reality glasses with a stimulus that will provide exercise repetition count). Each athlete, as well as the statisticians, will be blinded to the intervention. All athletes will receive 12 training sessions over a 6-week period during their pre-competition season and each of the groups will have longitudinal assessment of biomechanical outcome measures captured at each biofeedback session. All participants will complete pre-training testing, 6 weeks of intervention, post-training testing, and post-season testing.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Prevention
- 盲法
- Double (Participant, Outcomes Assessor)
入排标准
- 年龄范围
- 12 Years 至 18 Years（Child, Adult）
- 性别
- Female
- 接受健康志愿者
- 是
入选标准
- •intend to participate on an organized competitive sports team (volleyball, soccer, or basketball)
- •be physically able to participate in their sport and complete the testing procedures at the time of study enrollment
排除标准
- 未提供
研究组 & 干预措施
aNMT Biofeedback
Participants randomized to receive a neuromuscular training intervention that incorporates biofeedback training.
干预措施: aNMT Biofeedback (Other)
aNMT Biofeedback
Participants randomized to receive a neuromuscular training intervention that incorporates biofeedback training.
干预措施: Neuromuscular Training (Other)
Sham Biofeedback
Participants randomized to receive a neuromuscular training intervention with sham feedback training.
干预措施: Sham Biofeedback (Other)
Sham Biofeedback
Participants randomized to receive a neuromuscular training intervention with sham feedback training.
干预措施: Neuromuscular Training (Other)
结局指标
主要结局
Change in Knee Abduction Moment
时间窗: Baseline (pre-training testing), Week 6 (post-training testing)
Knee abduction moment during the vertical drop task will be compared between study arms. Optimal knee abduction moment is ≤ 0 newton meter (Nm).
Change in Foot Placement
时间窗: Baseline (pre-training testing), Week 6 (post-training testing)
Foot placement during the vertical drop task will be compared between study arms. Optimal foot placement is 1:1 ratio to hip width.
Change in Lateral Trunk Flexion
时间窗: Baseline (pre-training testing), Week 6 (post-training testing)
Lateral trunk flexion during the vertical drop task will be compared between study arms. Optimal lateral trunk flexion is 0°.
Change in Knee to Hip Sagittal Plane Moment Ratio
时间窗: Baseline (pre-training testing), Week 6 (post-training testing)
Knee to hip sagittal plane moment ratio during the vertical drop task will be compared between study arms. Optimal knee to hip sagittal plane ratio is \< 1.
Change in Vertical Ground Reaction Force (VGRF) Ratio
时间窗: Baseline (pre-training testing), Week 6 (post-training testing)
VGRF during the vertical drop task will be compared between study arms. Optimal VGRF ratio is 1:1 ratio between limbs.
次要结局
- Change in Post-training Lateral Trunk Flexion(Week 6 (post-training testing), up to Month 11 (post-season testing))
- Change in Post-training Knee to Hip Sagittal Plane Moment Ratio(Week 6 (post-training testing), up to Month 11 (post-season testing))
- Change in Post-training Knee Abduction Moment(Week 6 (post-training testing), up to Month 11 (post-season testing))
- Change in Post-training Foot Placement(Week 6 (post-training testing), up to Month 11 (post-season testing))
- Change in Post-training Vertical Ground Reaction Force (VGRF) Ratio(Week 6 (post-training testing), up to Month 11 (post-season testing))