NCT02933008

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
420

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Dec 2016

Longer than P75 for not_applicable

Geographic Reach
1 country

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 7, 2016

Completed
7 months until next milestone

First Posted

Study publicly available on registry

October 14, 2016

Completed
2 months until next milestone

Study Start

First participant enrolled

December 1, 2016

Completed
5.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 9, 2022

Completed
21 days until next milestone

Study Completion

Last participant's last visit for all outcomes

May 30, 2022

Completed
Last Updated

September 19, 2024

Status Verified

September 1, 2024

Enrollment Period

5.4 years

First QC Date

March 7, 2016

Last Update Submit

September 11, 2024

Conditions

Keywords

ACLbiofeedbackinjury preventionvirtual reality

Outcome Measures

Primary Outcomes (5)

  • Change in Lateral Trunk Flexion

    Lateral trunk flexion during the vertical drop task will be compared between study arms. Optimal lateral trunk flexion is 0°.

    Baseline (pre-training testing), Week 6 (post-training testing)

  • Change in Knee to Hip Sagittal Plane Moment Ratio

    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.

    Baseline (pre-training testing), Week 6 (post-training testing)

  • Change in Knee Abduction Moment

    Knee abduction moment during the vertical drop task will be compared between study arms. Optimal knee abduction moment is ≤ 0 newton meter (Nm).

    Baseline (pre-training testing), Week 6 (post-training testing)

  • Change in Foot Placement

    Foot placement during the vertical drop task will be compared between study arms. Optimal foot placement is 1:1 ratio to hip width.

    Baseline (pre-training testing), Week 6 (post-training testing)

  • Change in Vertical Ground Reaction Force (VGRF) Ratio

    VGRF during the vertical drop task will be compared between study arms. Optimal VGRF ratio is 1:1 ratio between limbs.

    Baseline (pre-training testing), Week 6 (post-training testing)

Secondary Outcomes (5)

  • 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)

Study Arms (2)

aNMT Biofeedback

EXPERIMENTAL

Participants randomized to receive a neuromuscular training intervention that incorporates biofeedback training.

Other: aNMT BiofeedbackOther: Neuromuscular Training

Sham Biofeedback

SHAM COMPARATOR

Participants randomized to receive a neuromuscular training intervention with sham feedback training.

Other: Sham BiofeedbackOther: Neuromuscular Training

Interventions

aNMT utilizes well-established visual feedback strategies to promote efficient, rapid and robust learning of complex movements. Athletes can discover how to move to create the desired feedback, even without explicit, conscious knowledge of how their movements relate to the visual pattern. aNMT biofeedback is created by calculating kinematic and kinetic data in real-time from the athlete's own movements. These values determine real-time transformations of the stimulus shape the athlete views via augmented-reality (AR) glasses during movement performance. The athlete's task is to move so as to create ("animate") a particular stimulus shape that corresponds to desired values of the biomechanical parameters targeted by the intervention.

aNMT Biofeedback

Sham biofeedback provides a similar phenomenological experience to aNMT biofeedback for athletes-both groups experience a shape that changes with their movements-but the sham biofeedback will not provide usable information to modify movement parameters during critical movement phases.

Sham Biofeedback

Participants will complete a 12-session, pre-season training program, over 6 weeks.

Sham BiofeedbackaNMT Biofeedback

Eligibility Criteria

Age12 Years - 18 Years
Sexfemale
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64)

You may qualify if:

  • 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

You may not qualify if:

  • none

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Emory Healthcare Sports Performance And Research Center (SPARC)

Flowery Branch, Georgia, 30542, United States

Location

Cincinnati Childrens Hospital Medical Center

Cincinnati, Ohio, 45229, United States

Location

MeSH Terms

Conditions

Anterior Cruciate Ligament Injuries

Condition Hierarchy (Ancestors)

Knee InjuriesLeg InjuriesWounds and Injuries

Study Officials

  • Gregory D Myer, PhD

    Emory University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, OUTCOMES ASSESSOR
Purpose
PREVENTION
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

March 7, 2016

First Posted

October 14, 2016

Study Start

December 1, 2016

Primary Completion

May 9, 2022

Study Completion

May 30, 2022

Last Updated

September 19, 2024

Record last verified: 2024-09

Data Sharing

IPD Sharing
Will not share

While study results will be published, individual subject data will not be shared with other researchers.

Locations