Motion Analysis and the Anterior Cruciate Ligament: Classification of Injury Risk

Nathaniel A. Bates, Timothy Hewett

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Anterior cruciate ligament (ACL) injuries are common, catastrophic events that incur large expense and lead to degradation of the knee. As such, various motion capture techniques have been applied to identify athletes who are at increased risk for suffering ACL injuries. The objective of this clinical commentary was to synthesize information related to how motion capture analyses contribute to the identification of risk factors that may predict relative injury risk within a population. Individuals employ both active and passive mechanisms to constrain knee joint articulation during motion. There is strong evidence to indicate that athletes who consistently classify as high-risk loaders during landing suffer from combined joint stability deficits in both the active and passive knee restraints. Implementation of prophylactic neuromuscular interventions and biofeedback can effectively compensate for some of the deficiencies that result from poor control of the active knee stabilizers and reduce the incidence of ACL injuries.

Original languageEnglish (US)
Pages (from-to)117-125
Number of pages9
JournalThe journal of knee surgery
Volume29
Issue number2
DOIs
StatePublished - Feb 1 2016

Fingerprint

Knee
Athletes
Knee Joint
Joints
Incidence
Wounds and Injuries
Population
Anterior Cruciate Ligament Injuries

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Motion Analysis and the Anterior Cruciate Ligament : Classification of Injury Risk. / Bates, Nathaniel A.; Hewett, Timothy.

In: The journal of knee surgery, Vol. 29, No. 2, 01.02.2016, p. 117-125.

Research output: Contribution to journalArticle

@article{3a70c4c44e8548319128d62fab39633d,
title = "Motion Analysis and the Anterior Cruciate Ligament: Classification of Injury Risk",
abstract = "Anterior cruciate ligament (ACL) injuries are common, catastrophic events that incur large expense and lead to degradation of the knee. As such, various motion capture techniques have been applied to identify athletes who are at increased risk for suffering ACL injuries. The objective of this clinical commentary was to synthesize information related to how motion capture analyses contribute to the identification of risk factors that may predict relative injury risk within a population. Individuals employ both active and passive mechanisms to constrain knee joint articulation during motion. There is strong evidence to indicate that athletes who consistently classify as high-risk loaders during landing suffer from combined joint stability deficits in both the active and passive knee restraints. Implementation of prophylactic neuromuscular interventions and biofeedback can effectively compensate for some of the deficiencies that result from poor control of the active knee stabilizers and reduce the incidence of ACL injuries.",
author = "Bates, {Nathaniel A.} and Timothy Hewett",
year = "2016",
month = "2",
day = "1",
doi = "10.1055/s-0035-1558855",
language = "English (US)",
volume = "29",
pages = "117--125",
journal = "Journal of Knee Surgery",
issn = "1538-8506",
publisher = "Thieme Medical Publishers",
number = "2",

}

TY - JOUR

T1 - Motion Analysis and the Anterior Cruciate Ligament

T2 - Classification of Injury Risk

AU - Bates, Nathaniel A.

AU - Hewett, Timothy

PY - 2016/2/1

Y1 - 2016/2/1

N2 - Anterior cruciate ligament (ACL) injuries are common, catastrophic events that incur large expense and lead to degradation of the knee. As such, various motion capture techniques have been applied to identify athletes who are at increased risk for suffering ACL injuries. The objective of this clinical commentary was to synthesize information related to how motion capture analyses contribute to the identification of risk factors that may predict relative injury risk within a population. Individuals employ both active and passive mechanisms to constrain knee joint articulation during motion. There is strong evidence to indicate that athletes who consistently classify as high-risk loaders during landing suffer from combined joint stability deficits in both the active and passive knee restraints. Implementation of prophylactic neuromuscular interventions and biofeedback can effectively compensate for some of the deficiencies that result from poor control of the active knee stabilizers and reduce the incidence of ACL injuries.

AB - Anterior cruciate ligament (ACL) injuries are common, catastrophic events that incur large expense and lead to degradation of the knee. As such, various motion capture techniques have been applied to identify athletes who are at increased risk for suffering ACL injuries. The objective of this clinical commentary was to synthesize information related to how motion capture analyses contribute to the identification of risk factors that may predict relative injury risk within a population. Individuals employ both active and passive mechanisms to constrain knee joint articulation during motion. There is strong evidence to indicate that athletes who consistently classify as high-risk loaders during landing suffer from combined joint stability deficits in both the active and passive knee restraints. Implementation of prophylactic neuromuscular interventions and biofeedback can effectively compensate for some of the deficiencies that result from poor control of the active knee stabilizers and reduce the incidence of ACL injuries.

UR - http://www.scopus.com/inward/record.url?scp=84987629380&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84987629380&partnerID=8YFLogxK

U2 - 10.1055/s-0035-1558855

DO - 10.1055/s-0035-1558855

M3 - Article

C2 - 26383143

AN - SCOPUS:84942055870

VL - 29

SP - 117

EP - 125

JO - Journal of Knee Surgery

JF - Journal of Knee Surgery

SN - 1538-8506

IS - 2

ER -