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Association between altered motor control of trunk muscles and head and neck injuries in elite footballers – An exploratory study

Overview of attention for article published in Musculoskeletal Science and Practice, May 2016
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Title
Association between altered motor control of trunk muscles and head and neck injuries in elite footballers – An exploratory study
Published in
Musculoskeletal Science and Practice, May 2016
DOI 10.1016/j.math.2016.05.001
Pubmed ID
Authors

Julie A. Hides, M. Dilani Mendis, Melinda M. Franettovich Smith, Tanja Miokovic, Andrew Cooper, Nancy Low Choy

Abstract

Head and neck injuries are common in football. Injuries such as concussion can have serious consequences. Previous studies have shown that size and function of trunk muscles are predictive of lower limb injuries in professional Australian Football League (AFL) players. It is unknown whether measurement of trunk muscles can also be used to predict head and neck injuries. To examine whether trunk muscle measurements predict head and neck injuries incurred by professional AFL players. Prospective cohort study. Ultrasound imaging of trunk muscles was performed on 165 professional AFL players at the start of the pre-season and 168 players at the start of the playing season. Injury data were obtained from records collected by the AFL club staff during the playing season. The ability to contract the multifidus (MF) muscle at the L5/S1 vertebral level at the start of pre-season and start of the playing season predicted head and neck injury in the playing season. Sensitivity and specificity of the model were 56.3% and 76.6% for the pre-season and 50.0% and 77.2% for the playing season respectively. A model with potential clinical utility was developed for prediction of head and neck injuries in AFL players. These predictive values will need to be validated in other teams. Ability to contract MF is modifiable and this information could be incorporated into pre-season injury prevention programs.

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Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 20%
Student > Master 23 17%
Student > Ph. D. Student 10 7%
Other 8 6%
Student > Doctoral Student 8 6%
Other 22 16%
Unknown 38 28%
Readers by discipline Count As %
Medicine and Dentistry 27 20%
Nursing and Health Professions 23 17%
Sports and Recreations 21 15%
Psychology 6 4%
Neuroscience 6 4%
Other 9 7%
Unknown 44 32%