Literature DB >> 31254917

Horizontal jumping biomechanics among elite male handball players with and without anterior cruciate ligament reconstruction. An inertial sensor unit-based study.

Igor Setuain1, Eder Bikandi2, Francisco Antonio Amú-Ruiz3, Mikel Izquierdo4.   

Abstract

OBJECTIVES: Anterior cruciate ligament (ACL) tears are one of the most devastating injuries that any handball player can suffer during landing and pivoting actions. The aim of this study was to analyze the horizontal jumping biomechanics among male elite handball players with or without previous ACLR.
DESIGN: Descriptive study.
SETTING: Spanish elite male handball players. PARTICIPANTS: Twenty-six male participants (6 ACL-R and 20 uninjured controls) were recruited. MAIN OUTCOME MEASURES: Two horizontal hopping tasks were evaluated using an inertial sensor unit (ISU)-based technology to assess jumping biomechanics through a direct mechanics-based approach.
RESULTS: Non-significant differences were found in relation to any of the biomechanical or performance related analyzed variables.
CONCLUSIONS: Previously ACL-R elite male handball players who have returned to the top level of sports participation do not seem to possess lasting biomechanical and/or performance deficits 6 years after the original surgical ligament repair.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ACL; Functional evaluation; Inertial sensor; Injury; Knee

Year:  2019        PMID: 31254917     DOI: 10.1016/j.ptsp.2019.06.009

Source DB:  PubMed          Journal:  Phys Ther Sport        ISSN: 1466-853X            Impact factor:   2.365


  3 in total

Review 1.  The Use of Wearable Sensors for Preventing, Assessing, and Informing Recovery from Sport-Related Musculoskeletal Injuries: A Systematic Scoping Review.

Authors:  Ezio Preatoni; Elena Bergamini; Silvia Fantozzi; Lucie I Giraud; Amaranta S Orejel Bustos; Giuseppe Vannozzi; Valentina Camomilla
Journal:  Sensors (Basel)       Date:  2022-04-22       Impact factor: 3.847

2.  Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players.

Authors:  Salvatore Tedesco; Colum Crowe; Andrew Ryan; Marco Sica; Sebastian Scheurer; Amanda M Clifford; Kenneth N Brown; Brendan O'Flynn
Journal:  Sensors (Basel)       Date:  2020-05-27       Impact factor: 3.576

3.  Horizontal jumping biomechanics among elite female handball players with and without anterior cruciate ligament reconstruction: an ISU based study.

Authors:  Igor Setuain; Eder Bikandi; Francisco Antonio Amú Ruiz; Fernando Urtasun; Mikel Izquierdo
Journal:  BMC Sports Sci Med Rehabil       Date:  2019-11-18
  3 in total

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