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Prediction of knee kinematics during...
~
Keenan, Karen Ann.
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Prediction of knee kinematics during a stop jump-cut maneuver using trunk neuromuscular characteristics and kinematics in a healthy, physically active population.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Prediction of knee kinematics during a stop jump-cut maneuver using trunk neuromuscular characteristics and kinematics in a healthy, physically active population./
Author:
Keenan, Karen Ann.
Description:
198 p.
Notes:
Source: Dissertation Abstracts International, Volume: 76-01(E), Section: B.
Contained By:
Dissertation Abstracts International76-01B(E).
Subject:
Kinesiology. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3582558
ISBN:
9781321208948
Prediction of knee kinematics during a stop jump-cut maneuver using trunk neuromuscular characteristics and kinematics in a healthy, physically active population.
Keenan, Karen Ann.
Prediction of knee kinematics during a stop jump-cut maneuver using trunk neuromuscular characteristics and kinematics in a healthy, physically active population.
- 198 p.
Source: Dissertation Abstracts International, Volume: 76-01(E), Section: B.
Thesis (Ph.D.)--University of Pittsburgh, 2014.
This item must not be sold to any third party vendors.
Non-contact anterior cruciate ligament injuries (ACL) persist in athletic populations despite years of research to mitigate such injuries. Core stability is purported to be essential in injury prevention, including ACL injury, by healthcare and fitness professionals; however, there is little research investigating this relationship. Examining the relationship between neuromuscular characteristics of core stability and knee kinematics identified to predict or be related to ACL injury may provide insight. The purpose of this study was to determine if trunk muscular strength, proprioception, and kinematics as well as sex could predict knee kinematics during a stop jump-cut maneuver (SJCM).
ISBN: 9781321208948Subjects--Topical Terms:
517627
Kinesiology.
Prediction of knee kinematics during a stop jump-cut maneuver using trunk neuromuscular characteristics and kinematics in a healthy, physically active population.
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Prediction of knee kinematics during a stop jump-cut maneuver using trunk neuromuscular characteristics and kinematics in a healthy, physically active population.
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198 p.
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Source: Dissertation Abstracts International, Volume: 76-01(E), Section: B.
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Adviser: Timothy C. Sell.
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Thesis (Ph.D.)--University of Pittsburgh, 2014.
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This item must not be sold to any third party vendors.
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Non-contact anterior cruciate ligament injuries (ACL) persist in athletic populations despite years of research to mitigate such injuries. Core stability is purported to be essential in injury prevention, including ACL injury, by healthcare and fitness professionals; however, there is little research investigating this relationship. Examining the relationship between neuromuscular characteristics of core stability and knee kinematics identified to predict or be related to ACL injury may provide insight. The purpose of this study was to determine if trunk muscular strength, proprioception, and kinematics as well as sex could predict knee kinematics during a stop jump-cut maneuver (SJCM).
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Fifty three healthy, physically active college-aged subjects participated (age: 22.0+/-2.1yrs; height: 172.5+/-8.4cm; weight: 71.6+/-10.4kg). Testing order for all subjects was: forward/lateral flexion trunk active joint position sense (AJPS), kinematic assessment during a SJCM, and isokinetic trunk extension/rotation strength. Dependent variables were knee valgus and flexion angles at initial contact (IC), total knee valgus excursion, and maximum knee flexion angle. Independent variables were: trunk extension and rotation average peak torque; trunk flexion and lateral flexion AJPS; trunk lateral displacement and trunk flexion angle at initial contact and maximum; and sex. Backwards stepwise linear regression was performed for each of the dependent variables with their respective, selected independent variables.
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None of the independent variables were significant predictors for knee valgus angle at IC or maximum knee flexion angle. Trunk rotation strength towards the direction of the cut and sex were found to be significant predictors of total knee valgus excursion (R2=0.259, p=0.001), with lower trunk rotation strength and female sex predicting greater total knee valgus excursion. Trunk extension strength and sex were found to be significant predictors of knee flexion at IC (R2=0.282, p<0.001), with lower trunk extension strength and female sex predicting lower knee flexion at IC.
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The results indicate that deficits in trunk strength and female sex induce risky knee kinematics that may be associated with ACL injury risk. Future research should investigate if deficits in trunk strength predict non-contact ACL injury and determine if targeted programs to increase trunk extension and rotation strength decrease non-contact ACL injury risk.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3582558
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