Literature DB >> 17986911

Reliability of landing 3D motion analysis: implications for longitudinal analyses.

Kevin R Ford1, Gregory D Myer, Timothy E Hewett.   

Abstract

PURPOSE: Biomechanical measures quantified during dynamic tasks with coupled epidemiological data in longitudinal experimental designs may be useful to determine which mechanisms underlie injury risk in young athletes. A key component is the ability to reliably measure biomechanical variables between testing sessions. The purpose was to determine the reliability of three-dimensional (3D) lower-extremity kinematic and kinetic variables during landing in young athletes measured within a session and between two sessions 7 wk apart.
METHODS: Lower-extremity kinetics and kinematics were quantified during a drop vertical jump. Coefficient of multiple correlations (CMC), intraclass correlation coefficients (ICC (3, k), ICC (3, 1)), and typical error (TE) analyses were used to examine within- and between-session reliability.
RESULTS: There were no differences in within-session reliability for peak angular rotations between planes with all discrete variables combined (sagittal ICC > or = 0.933, frontal ICC > or = 0.955, transverse ICC > or = 0.934). Similarly, the between-session reliability of kinematic measures were not different between the three planes of motion but were lower than the within-session ICC. The within- and between-session reliability of discrete joint moment variables were excellent for all sagittal (within ICC > or = 0.925, between ICC > or = 0.800) and frontal plane moment measures (within ICC > or = 0.778, between ICC > or = 0.748). CMC analysis revealed similar averaged within-session (CMC = 0.830 +/- 0.119) and between-session (CMC = 0.823 +/- 0.124) waveform comparisons.
CONCLUSION: The majority of the kinematic and kinetic variables in young athletes during landing have excellent to good reliability. The ability to reliably quantify lower-extremity biomechanical variables of young athletes during dynamic tasks over extended intervals may aid in identifying potential mechanisms related to injury risk factors.

Entities:  

Mesh:

Year:  2007        PMID: 17986911     DOI: 10.1249/mss.0b013e318149332d

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  85 in total

1.  High knee abduction moments are common risk factors for patellofemoral pain (PFP) and anterior cruciate ligament (ACL) injury in girls: is PFP itself a predictor for subsequent ACL injury?

Authors:  Gregory D Myer; Kevin R Ford; Stephanie L Di Stasi; Kim D Barber Foss; Lyle J Micheli; Timothy E Hewett
Journal:  Br J Sports Med       Date:  2014-03-31       Impact factor: 13.800

2.  Longitudinal assessment of noncontact anterior cruciate ligament injury risk factors during maturation in a female athlete: a case report.

Authors:  Gregory D Myer; Kevin R Ford; Jon G Divine; Eric J Wall; Leamor Kahanov; Timothy E Hewett
Journal:  J Athl Train       Date:  2009 Jan-Feb       Impact factor: 2.860

3.  A predictive model to estimate knee-abduction moment: implications for development of a clinically applicable patellofemoral pain screening tool in female athletes.

Authors:  Gregory D Myer; Kevin R Ford; Kim D Barber Foss; Mitchell J Rauh; Mark V Paterno; Timothy E Hewett
Journal:  J Athl Train       Date:  2014-04-24       Impact factor: 2.860

4.  Prediction of kinematic and kinetic performance in a drop vertical jump with individual anthropometric factors in adolescent female athletes: implications for cadaveric investigations.

Authors:  Nathaniel A Bates; Gregory D Myer; Timothy E Hewett
Journal:  Ann Biomed Eng       Date:  2014-09-30       Impact factor: 3.934

5.  RELIABILITY AND VALIDITY OF A BIOMECHANICALLY BASED ANALYSIS METHOD FOR THE TENNIS SERVE.

Authors:  Natalie L Myers; W Ben Kibler; Leah Lamborn; Belinda J Smith; Tony English; Cale Jacobs; Tim L Uhl
Journal:  Int J Sports Phys Ther       Date:  2017-06

6.  TWO-DIMENSIONAL VIDEO ANALYSIS IS COMPARABLE TO 3D MOTION CAPTURE IN LOWER EXTREMITY MOVEMENT ASSESSMENT.

Authors:  Stacy A Schurr; Ashley N Marshall; Jacob E Resch; Susan A Saliba
Journal:  Int J Sports Phys Ther       Date:  2017-04

7.  Changes in biomechanical knee injury risk factors across two collegiate soccer seasons using the 11+ prevention program.

Authors:  Amelia J H Arundale; Holly J Silvers-Granelli; Adam Marmon; Ryan Zarzycki; Celeste Dix; Lynn Snyder-Mackler
Journal:  Scand J Med Sci Sports       Date:  2018-09-06       Impact factor: 4.221

8.  Novel mechanical impact simulator designed to generate clinically relevant anterior cruciate ligament ruptures.

Authors:  Nathaniel A Bates; Nathan D Schilaty; Christopher V Nagelli; Aaron J Krych; Timothy E Hewett
Journal:  Clin Biomech (Bristol, Avon)       Date:  2017-03-10       Impact factor: 2.063

9.  A Technical Report on the Development of a Real-Time Visual Biofeedback System to Optimize Motor Learning and Movement Deficit Correction.

Authors:  Scott Bonnette; Christopher A DiCesare; Adam W Kiefer; Michael A Riley; Kim D Barber Foss; Staci Thomas; Jed A Diekfuss; Gregory D Myer
Journal:  J Sports Sci Med       Date:  2020-02-24       Impact factor: 2.988

10.  INTER- AND INTRA-RATER RELIABILITY OF PERFORMANCE MEASURES COLLECTED WITH A SINGLE-CAMERA MOTION ANALYSIS SYSTEM.

Authors:  Nathanial A Bates; April L McPherson; John D Berry; Timothy E Hewett
Journal:  Int J Sports Phys Ther       Date:  2017-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.