%0 Journal Article
%T Exploring the role of cervical spine endurance as a predictor of concussion risk and recovery following sports related concussion
%J Musculoskeletal science and practice
%D 2019
%A Baker, Matthew
%A Quesnele, Jairus
%A Baldisera, Tara
%A Kenrick-Rochon, Shannon
%A Laurence, Michelle
%A Grenier, Sylvain
%V 42
%N 
%P 193-197
%X BACKGROUND: Concussions have become a significant public health concern with rising incidence rates. Concussions have been shown to occur concurrently with neck injuries, such as whiplash-associated-disorder, therefore, understanding the role of the neck in concussions is important. <br><br>OBJECTIVES: To determine if there is a relationship between cervical muscle endurance and either concussion incidence, or concussion recovery in university athletes. Specifically, the primary aim was to investigate a relationship between pre-season deep neck flexor endurance test (DNFET) time in those who sustained an in-season injury versus those who did not. The secondary aim is to determine correlation in DNFET times and concussion recovery. <br><br>DESIGN: Longitudinal observational study. <br><br>METHODS: Pre-season DNFET was performed on university athletes. In the event of a concussion, cervical endurance and neuromuscular adaptation was re-assessed with the DNFET. Rehabilitative exercises were prescribed, as required, and DNFET was measured at subsequent treatments. <br><br>RESULTS: There was no significant difference between pre-season DNFET times and concussion incidence (p = 0.55). However, there was a moderate correlation between DNFET times and concussion recovery (R = 0.47, p = 0.001) whereby DNFET times improved predictively throughout rehabilitation. <br><br>CONCLUSIONS: While no statistically significant relationship was found between DNFET and concussion incidence, a significant clinical relationship was present with recovery. The validity of the DNFET test as a means for assessing risk or measuring recovery requires additional research.<br><br>Copyright © 2019. Published by Elsevier Ltd.<p /> <p>Language: en</p>
%G en
%I Elsevier Publishing
%@ 2468-8630
%U http://dx.doi.org/10.1016/j.msksp.2019.04.002