Ankle mechanics during jump landings across different foot positions in professional ballet dancers.

Mattiussi, Adam M; Shaw, Joseph W; Price, Phil; Brown, Derrick D; Cohen, Daniel D; Lineham, Jack; Pedlar, Charles R; Tallent, Jamie; Atack, Alexandra C (2024). Ankle mechanics during jump landings across different foot positions in professional ballet dancers. (In Press). Sports biomechanics, pp. 1-14. Taylor & Francis 10.1080/14763141.2024.2369913

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This study aimed to investigate the effect foot position on ankle joint mechanics and vertical ground reaction forces (vGRF) across jump landings in professional ballet dancers. Twenty-seven professional ballet dancers (men: 14; women: 13) attended one data collection session, completing five maximal countermovement jumps in parallel, first, second, fourth, and fifth positions. Three-dimensional ankle mechanics, landing vGRF variables, and jump height were recorded via a seven-camera motion capture system and one force platform. A repeated measures multivariate analysis of variance was used to assess the main effects foot position across all target variables. A linear discriminate analysis was conducted to investigate target variables across foot positions. Frontal and transverse plane ankle mechanics had the largest impact when discriminating between foot positions. Ankle power in the transverse plane during jump landing in fourth was double that of all other positions. Our findings suggest that ankle range of motion should be restored before returning to jumps in fourth and fifth positions following distal lower extremity injury. The multiplanar energy transfer observed indicates a need for specific exercises to develop multiplanar force and rate of force development of local structures around the ankle.

Item Type:

Journal Article (Original Article)

Division/Institute:

07 Faculty of Human Sciences > Institute of Sport Science (ISPW)

UniBE Contributor:

Brown, Derrick Dewayne

Subjects:

700 Arts > 790 Sports, games & entertainment

ISSN:

1752-6116

Publisher:

Taylor & Francis

Language:

English

Submitter:

Pubmed Import

Date Deposited:

28 Jun 2024 15:23

Last Modified:

28 Jun 2024 15:31

Publisher DOI:

10.1080/14763141.2024.2369913

PubMed ID:

38934793

Uncontrolled Keywords:

Biomechanics ground reaction forces kinematics kinetics machine learning

BORIS DOI:

10.48350/198227

URI:

https://boris.unibe.ch/id/eprint/198227

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