Literature DB >> 29543036

An Examination of Adolescent Athletes and Nonathletes on Baseline Neuropsychological Test Scores.

Christopher P Tomczyk1, Megan Mormile1, Megan S Wittenberg1, Jody L Langdon1, Tamerah N Hunt1.   

Abstract

CONTEXT: An estimated 15.3 million adolescent students are enrolled in US high schools, with approximately 7.8 million participating in athletics. Researchers have examined various demographics in high school athletes; however, athletic participation may play a larger role in test performance than previously thought. Currently, investigations of concussion assessment may rely on uninjured athletes as controls. However, due to the intense nature of athletics, this may not be an appropriate practice.
OBJECTIVE: To examine differences between athletes and nonathletes using a common computerized neuropsychological test.
DESIGN: Retrospective cross-sectional study.
SETTING: High schools from a school district in Columbus, Ohio. PATIENTS OR OTHER PARTICIPANTS: A total of 662 adolescent high school students (athletes: n = 383, female n = 18; nonathletes: n = 279, female n = 193). MAIN OUTCOME MEASURE(S): Participants were administered a computerized neuropsychological test battery (Immediate Post-Concussion Assessment and Cognitive Test [ImPACT]) during baseline concussion assessment. Differences between groups were established for output composite scores.
RESULTS: Differences were found between athletes and nonathletes in composite reaction time ( F1,522 = 14.855, P < .001) and total symptom score ( F1,427 = 33.770, P < .001). Nonathletes reported more symptoms, whereas athletes had faster reaction times. No differences were present in composite verbal memory, composite visual memory, composite visual motor speed, or composite impulse control ( P > .05).
CONCLUSIONS: Symptom reporting and reaction time differed between high school athletes and nonathletes. Participation in extracurricular activities may lead to cognitive differences in adolescents that can influence performance on the Immediate Post-Concussion Assessment and Cognitive Test battery. Researchers should account for these differences in baseline performance when making concussion diagnostic and management decisions.

Entities:  

Keywords:  concussions; sports; youths

Mesh:

Year:  2018        PMID: 29543036      PMCID: PMC5967283          DOI: 10.4085/1062-6050-84-17

Source DB:  PubMed          Journal:  J Athl Train        ISSN: 1062-6050            Impact factor:   2.860


  26 in total

1.  Epidemiology of concussion in collegiate and high school football players.

Authors:  K M Guskiewicz; N L Weaver; D A Padua; W E Garrett
Journal:  Am J Sports Med       Date:  2000 Sep-Oct       Impact factor: 6.202

Review 2.  The assessment of sport-related concussion: the evidence behind neuropsychological testing and management.

Authors:  S H Grindel; M R Lovell; M W Collins
Journal:  Clin J Sport Med       Date:  2001-07       Impact factor: 3.638

3.  Music training and rate of presentation as mediators of text and song recall.

Authors:  A R Kilgour; L S Jakobson; L L Cuddy
Journal:  Mem Cognit       Date:  2000-07

4.  Response amendment in fencing: differences between elite and novice subjects.

Authors:  L R Williams; A Walmsley
Journal:  Percept Mot Skills       Date:  2000-08

5.  Music training improves verbal memory.

Authors:  A S Chan; Y C Ho; M C Cheung
Journal:  Nature       Date:  1998-11-12       Impact factor: 49.962

6.  Influence of physical exercise on simple reaction time: effect of physical fitness.

Authors:  J Brisswalter; R Arcelin; M Audiffren; D Delignières
Journal:  Percept Mot Skills       Date:  1997-12

Review 7.  Neuropsychological testing.

Authors:  L J Seidman
Journal:  Harv Ment Health Lett       Date:  1998-05

8.  Sensitivity and specificity of the online version of ImPACT in high school and collegiate athletes.

Authors:  Philip Schatz; Natalie Sandel
Journal:  Am J Sports Med       Date:  2012-11-09       Impact factor: 6.202

9.  The Relation Between Testing Environment and Baseline Performance in Child and Adolescent Concussion Assessment.

Authors:  Christopher G Vaughan; Elyssa H Gerst; Maegan D Sady; Julie B Newman; Gerard A Gioia
Journal:  Am J Sports Med       Date:  2014-04-30       Impact factor: 6.202

10.  The epidemiology and impact of traumatic brain injury: a brief overview.

Authors:  Jean A Langlois; Wesley Rutland-Brown; Marlena M Wald
Journal:  J Head Trauma Rehabil       Date:  2006 Sep-Oct       Impact factor: 2.710

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  2 in total

1.  Multimodal Assessment of Sport-Related Concussion.

Authors:  Natalie Sandel Sherry; Vanessa Fazio-Sumrok; Alicia Sufrinko; Michael W Collins; Anthony P Kontos
Journal:  Clin J Sport Med       Date:  2021-05-01       Impact factor: 3.454

2.  Injuries and concussions among young children, ages 5-11, playing sports in recreational leagues in Florida.

Authors:  Karen D Liller; Barbara Morris; Yingwei Yang; Omonigho M Bubu; Brad Perich; Jessica Fillion
Journal:  PLoS One       Date:  2019-05-15       Impact factor: 3.240

  2 in total

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