Christopher P. Tomczyk, LAT, ATC Megan E. Mormile, ATC

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Presentation transcript:

Christopher P. Tomczyk, LAT, ATC Megan E. Mormile, ATC An Examination of Adolescent Athletes and Non-Athletes on Baseline Neuropsychological Test Scores Christopher P. Tomczyk, LAT, ATC Megan E. Mormile, ATC Tamerah N. Hunt, Ph.D., FACSM

Background Concussions are complex pathophysiological processes affecting the brain caused by direct or impulsive biomechanical forces1 Symptoms, altered cognition, and postural instability2 High school population 63,000 SRC annually3 Incidence rate as high as 15.3%3

Background Neuropsychological tests4 Linked to specific brain functions/pathways Used to measure cognitive ability Can detect differences when compared to a reference (i.e. baseline) Immediate Post-Concussion Assessment and Cognitive Test (ImPACT)

Background ImPACT Five composite scores: Verbal Memory, Visual Memory, Visual-Motor Speed, Reaction Time, Impulse Control Total Symptom Score Sensitivity: 91.4%, Specificity: 69.4%5 Popular in the high school setting Age6 and Sex7 differences

Purpose To examine the effects of athletic status (athlete vs. non-athlete) on baseline neuropsychological test scores is a high school population Facilitate a more accurate interpretation of results Utilization of non-athletes as healthy controls?

Methods Participants Main Outcome Measures Procedures 662 high school students (ATH n=383, NON n=279) Main Outcome Measures ImPACT composite scores Procedures ImPACT administered prior to the competitive season (athletes) and school year (non-athletes). Statistical Analyses Descriptive statistics One-Way ANOVA (alpha level set a priori p<0.05) SPSS v23.0 (IBM Inc. Armonk, North Castle, NY)

Results

Results

Results

Results

Discussion Athletes had significantly faster reaction times than non-athletes. Bruzi et al.11 Verma et al.12 Athletes reported less symptoms than non-athletes Athletic Identity13 The Culture of Risk14 Heighted pain tolerance15

Discussion Non-athletes had significantly higher Composite Verbal Memory scores than athletes Extracurricular activities, such as music, can lead to structural changes10 and greater verbal memory capacity16 Clinical Implications Non-athletes should not be utilized as controls in concussion research. If comparing a post-injury non-athlete’s ImPACT results it is paramount to be aware of these differences

Conclusions Concussion is a complex brain pathology that relies heavily on tracking altered cognition for diagnosis and management Significant differences are present at baseline when comparing adolescent athletes and non-athletes Clinicians and need to be cognizant of these normal differences when treating non-athletes utilizing the current concussion protocol Investigators should refrain from using non-athletes as controls in future concussion research

References McCrory P, Meeuwisse WH, Aubry M, et al. Consensus Statement on Concussion in Sport: The 4th International Conference on Concussion in Sport, Zurich, November 2012. J Athl Train Allen Press. 2013;48(4):554-575. Broglio SP, Cantu RC, Gioia GA, et al. National Athletic Trainers’ Association Position Statement: Management of Sport Concussion. J Athl Train Allen Press. 2014;49(2):245-265. McCrea M, Hammeke T, Olsen G, Leo P, Guskiewicz K. Unreported concussion in high school football players: implications for prevention. Clin J Sport Med. 2004;14(1):13-17. Seidman, LJ. Neuropsychological testing. Harvard Mental Health Letter. 1998;14 (11):4-6. Schatz P, Sandel N. Sensitivity and specificity of the online version of ImPACT in high school and collegiate athletes. Am J Sport Med. 2013;41(2):321-326. Covassin T, Swanik CB, Sachs M, Kendrick Z, Schatz P, Zillmer E, Kaminaris C. Sex differences in baseline neuropsychological function and concussion symptoms of collegiate athletes. Br J Sports Med. 2006;40(11):923-927. Register-Mihalik JK, Kontos DL, Guskiewicz KM, Mihalik JP, Conder R, Shields EW. Age-related differences and reliability on computerized and paper-and-pencil neurocognitive assessment batteries. J Ath Train. 2012;47(3):297-305. Langlois JA, Rutland-Brown W, Wald MM. The Epidemiology and Impact of Traumatic Brain Injury. J Head Trauma Rehabil. 2006;21(5):375-378. Ursache A, Noble KG. Neurocognitive development in socioeconomic context: multiple mechanisms and implications for measuring socioeconomic status. Psychophysiology. 2016;53:71-82. Schlaug G, Jancke L, Huang Y, Steinmetz H. In vivo evidence of structural brain asymmetry in musicians. Science. 1995;267:699-701. Bruzi AT, Fialho JVAP, Fonseca FS, Ugrinowitsch H. Comparison of reaction time between basketball players, artistic gymnasts and non-athletes. Revista Brasileira de Ciencias do Esporte. 2013;35(2):469-480. Verma, S., Mishra, A., and Singh, A. (2011). Effect of long term exercise training on auditory and visual reaction time. Indian J Physiotherapy & Occupational Therapy. 5(3):126-129. Brewer BW, Van Raalte JL, Linder DE. Athletic identity: Hercules’ muscles or achilles heel?. Inter J Sport Psych. 1993;24(2):237-254. Nixon II HL. Accepting the risks of pain and injury in sport: mediated cultural influences of playing hurt. Sociology Sport J. 1993;10:183-196. Ryan ED, Kovacic CR. Pain tolerance and athletic participation. Perceptual and Motor Skills. 1966;22(2):383-390. Kilgour A, Jakobson L, Cuddy L. Music training and rate of presentation as mediators of text and song recall. Memory Cognition. 2000;28(5):700-710.

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