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- Title
Acute Sport-Related Concussion Screening for Collegiate Athletes Using an Instrumented Balance Assessment.
- Authors
Baracks, Joshua; Casa, Douglas J.; Covassin, Tracey; Sacko, Ryan; Scarneo, Samantha E.; Schnyer, David; Yeargin, Susan W.; Neville, Christopher
- Abstract
control participants (age = 20.85 ± 1.42 years, height = 177.02 ± 9.59 cm, mass = 74.61 ± 14.92 kg) at 7 clinical sites in the United States. All were varsity or club collegiate athletes, and all participants with SRC were tested within 72 hours of SRC. Main Outcome Measure(s): Balance performance was assessed using an inertial balance sensor. Two measures (root mean square sway and 95% ellipse sway area) were analyzed to represent a range of general balance measures. Balance assessments were conducted in double-legged, single-legged, and tandem stances. Results: A main effect for group was associated with the root mean square sway measure (F1,91 = 11.75, P = .001), with the SRC group demonstrating balance deficits compared with the control group. We observed group differences in the 95% ellipse sway area measure for the double-legged (F1,91 = 11.59, P = .001), single-legged (F1,91 = 6.91, P = .01), and tandem (F1,91 = 7.54, P = .007) stances. Sensitivity was greatest using a cutoff value of 0.5 standard deviations (54% [specificity = 71%]), whereas specificity was greatest using a cutoff value of 2 standard deviations (98% [sensitivity = 33%]). Conclusions: Inertial balance sensors may be useful tools for objectively measuring balance during acute SRC evaluation. However, low sensitivity suggests that they may be best used in conjunction with other assessments to form a comprehensive screening that may improve sensitivity.
- Subjects
UNITED States; BRAIN concussion diagnosis; SPORTS injuries; ANALYSIS of variance; CLINICAL trials; COLLEGE athletes; CONFIDENCE intervals; POSTURAL balance; LONGITUDINAL method; MEDICAL cooperation; PROBABILITY theory; RESEARCH; RESEARCH funding; STATISTICS; DATA analysis; EVALUATION research; EFFECT sizes (Statistics); CROSS-sectional method; MEDICAL equipment reliability; DATA analysis software; DESCRIPTIVE statistics; DIAGNOSIS
- Publication
Journal of Athletic Training (Allen Press), 2018, Vol 53, Issue 6, p597
- ISSN
1062-6050
- Publication type
Article
- DOI
10.4085/1062-6050-174-17