title: An integrated approach to change the outcome part II: targeted neuromuscular training techniques to reduce identified ACL injury risk factors.
abstract: Prior reports indicate that female athletes who demonstrate high knee abduction moments (KAMs) during landing are more responsive to neuromuscular training designed to reduce KAM. Identification of female athletes who demonstrate high KAM, which accurately identifies those at risk for noncontact anterior cruciate ligament (ACL) injury, may be ideal for targeted neuromuscular training. Specific neuromuscular training targeted to the underlying biomechanical components that increase KAM may provide the most efficient and effective training strategy to reduce noncontact ACL injury risk. The purpose of the current commentary is to provide an integrative approach to identify and target mechanistic underpinnings to increased ACL injury in female athletes. Specific neuromuscular training techniques will be presented that address individual algorithm components related to high knee load landing patterns. If these integrated techniques are employed on a widespread basis, prevention strategies for noncontact ACL injury among young female athletes may prove both more effective and efficient.
authors.affiliation: Human Performance Laboratory, Sports Medicine Biodynamics Center, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA. greg.myer@chmcc.org
authors.forename: Gregory D
authors.initials: GD
authors.lastname: Myer
authors.forename: Kevin R
authors.initials: KR
authors.lastname: Ford
authors.forename: Jensen L
authors.initials: JL
authors.lastname: Brent
authors.forename: Timothy E
authors.initials: TE
authors.lastname: Hewett
mesh_terms: D000465:Algorithms; D000070598:Anterior Cruciate Ligament Injuries; D056352:Athletes; D001265:Athletic Injuries / Q000517:prevention & control*; D001696:Biomechanical Phenomena; D005260:Female; D006801:Humans; D007717:Knee / Q000502:physiology*; D007718:Knee Injuries / Q000517:prevention & control*; D012307:Risk Factors