A 2D video-based assessment is associated with 3D biomechanical contributors to dynamic knee valgus in the coronal plane.

anterior cruciate ligament injury injury prevention motion capture qualitative movement analysis video analysis

Journal

Frontiers in sports and active living
ISSN: 2624-9367
Titre abrégé: Front Sports Act Living
Pays: Switzerland
ID NLM: 101765780

Informations de publication

Date de publication:
2024
Historique:
received: 07 12 2023
accepted: 05 03 2024
medline: 1 4 2024
pubmed: 1 4 2024
entrez: 1 4 2024
Statut: epublish

Résumé

Adolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV. A total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data. 3D measures indicated knee abduction angles between 2.4°-4.6° (SD 4.1°-4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93. The MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors.

Identifiants

pubmed: 38558858
doi: 10.3389/fspor.2024.1352286
pmc: PMC10978775
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1352286

Informations de copyright

© 2024 Erdman, Loewen, Dressing, Wyatt, Oliver, Butler, Sugimoto, Black, Tulchin-Francis, Bazett-Jones, Janosky and Ulman.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Ashley Erdman (A)

Movement Science Lab, Division of Sports Medicine, Scottish Rite for Children, Frisco, TX, United States.

Alex Loewen (A)

Movement Science Lab, Division of Sports Medicine, Scottish Rite for Children, Frisco, TX, United States.

Michael Dressing (M)

Department of Orthopedics, Joe DiMaggio Children's Hospital, Hollywood, FL, United States.

Charles Wyatt (C)

Movement Science Lab, Division of Sports Medicine, Scottish Rite for Children, Frisco, TX, United States.
Department of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, United States.

Gretchen Oliver (G)

Sports Medicine & Movement Laboratory, School of Kinesiology, Auburn University, Auburn, AL, United States.

Lauren Butler (L)

Department of Rehabilitation, Nicklaus Children's Hospital, Miami, FL, United States.

Dai Sugimoto (D)

Faculty of Sport Sciences, Waseda University, Tokyo, Japan.
Sports Medicine Division, The Micheli Center for Sports Injury Prevention, Waltham, MA, United States.

Amanda M Black (AM)

Centre for Healthy Youth Development Through Sport, Department of Kinesiology, Faculty of Applied Health Sciences, Brock University, St. Catharines, ON, Canada.

Kirsten Tulchin-Francis (K)

Department of Orthopedic Surgery, Nationwide Children's Hospital, Columbus, OH, United States.

David M Bazett-Jones (DM)

Department of Exercise and Rehabilitation Sciences, College of Health and Human Services, The University of Toledo, Toledo, OH, United States.

Joseph Janosky (J)

Sports Medicine Institute, Hospital for Special Surgery, New York, NY, United States.

Sophia Ulman (S)

Movement Science Lab, Division of Sports Medicine, Scottish Rite for Children, Frisco, TX, United States.
Department of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, United States.

Classifications MeSH