| Literature DB >> 29998204 |
Joseph Toninato1,2, Hannah Casey1,2, Mohit Uppal1,2, Tessneem Abdallah1,2, Thomas Bergman1,2, JamesT Eckner3, Uzma Samadani1,2.
Abstract
Reporting of sports-related concussions (SRCs) has risen dramatically over the last decade, increasing awareness of the need for treatment and prevention of SRCs. To date most prevention studies have focused on equipment and rule changes to sports in order to reduce the risk of injury. However, increased neck strength has been shown to be a predictor of concussion rate. In the TRAIN study, student-athletes will follow a simple neck strengthening program over the course of three years in order to better understand the relationship between neck strength and SRCs. Neck strength of all subjects will be measured at baseline and biannually over the course of the study using a novel protocol. Concussion severity and duration in any subject who incurs an SRC will be evaluated using the Sports Concussion Assessment Tool 5th edition, a questionnaire based tool utilizing several tests that are commonly affected by concussion, and an automated eye tracking algorithm. Neck strength, and improvement of neck strength, will be compared between concussed and non-concussed athletes to determine if neck strength can indeed reduce risk of concussion. Neck strength will also be analyzed taking into account concussion severity and duration to find if a strengthening program can provide a protective factor to athletes. The study population will consist of student-athletes, ages 12-23, from local high schools and colleges. These athletes are involved in a range of both contact and non-contact sports.Entities:
Keywords: ANOVA, Analysis of variance; Athlete; BAT-L, Boston Assessment of Traumatic Brain Injury Lifetime; Brain injury; CISG, Concussion in Sports Group; Concussion; Football; Head injuries; ICC, Intraclasss coefficient; IRB, Institutional Review Board; MMRF, Minneapolis Medical Research Foundation; Neck strength; Prevention; SAC, Standardized Assessment of Concussion; SCAT5, Sports Concussion Assessment Tool; SRC, Sports-related concussion; Sports; Student; TBI, Traumatic Brain Injury
Year: 2018 PMID: 29998204 PMCID: PMC6037875 DOI: 10.1016/j.conctc.2018.06.007
Source DB: PubMed Journal: Contemp Clin Trials Commun ISSN: 2451-8654
Fig. 1Image of flexion strength being measured using the MicroFet2 dynamometer and custom built seat.
Table represents MicroFet2 dynamometer measurements of fixed weights, testing for measurement accuracy. The inter-device correlation was ∼1.
| Item Weight (lbs) | Device 1 (lbs) | Device 2 (lbs) | Device 3 (lbs) |
|---|---|---|---|
| 3.95 | 3.9 | 3.9 | 3.9 |
| 8.71 | 8.7 | 8.6 | 8.7 |
| 141.2 | 141.1 | 141.2 | 141.1 |
Table represents MicroFet2 dynamometer measurements of the same subjects on different days, testing for measurement reliability. The ICC was found to be 0.78.
| Subject Number | Day 1 (lbs) | Day 2 (lbs) | Day 3 (lbs) | Day 4 (lbs) | Mean (lbs) | SD (lbs) |
|---|---|---|---|---|---|---|
| 1 | 15.9 | 16.9 | 16.3 | 16 | 16.28 | 0.45 |
| 2 | 10.0 | 12.7 | 13.6 | 14.2 | 12.63 | 1.86 |
| 3 | 10.9 | 12.9 | – | – | 11.9 | 1.41 |
| 4 | 9.6 | – | 14.9 | 15.8 | 13.43 | 3.35 |
| 5 | 21.2 | 23.3 | 29.5 | 29.7 | 25.93 | 4.33 |
| 6 | 20.1 | 26.3 | 20.5 | 22.6 | 22.38 | 2.84 |
| 7 | 6.6 | – | 7.8 | 8.0 | 7.47 | 0.76 |
| 8 | 11.6 | 15.9 | 18.3 | 22.7 | 17.13 | 4.64 |
Fig. 2Receiver operating curve for eye tracking as a method of diagnosing concussion.