Literature DB >> 19593423

Age-related differences in neuropsychological testing among high school athletes.

Tamerah N Hunt1, Michael S Ferrara.   

Abstract

CONTEXT: Clinicians have questioned the need to obtain annual baseline neuropsychological tests in high school athletes. If no difference among academic grades exists, annual baseline testing may not be necessary.
OBJECTIVE: To examine differences at baseline testing on pencil-and-paper neuropsychological tests among grade levels in high school athletes.
DESIGN: Cross-sectional, between-groups design.
SETTING: Schools participating in a Georgia high school athletics association. PATIENTS OR OTHER PARTICIPANTS: High school football players (n = 198) in the 9th through 12th grades, with a mean age of 15.78 +/- 1.16 years. MAIN OUTCOME MEASURE(S): Participants were divided into 4 groups by grade and were administered a symptom checklist and brief neuropsychological test battery. Grade level served as the independent variable. Symptom and individual test scores within the neuropsychological test battery served as dependent variables.
RESULTS: Differences were noted among grades on the Trail Making Test A (F(3,194) = 3.23, P = .024, eta(2) = 0.048), Trail Making Test B (F(3,194) = 3.93, P = .009, eta(2) = 0.057), Symbol Digit Modalities Test (F(3,194) = 4.38, P = .005, eta(2) = 0.064), dominant tap (F(3,194) = 3.14, P = .026, eta(2) = 0.046), and nondominant tap (F(3,194) = 4.902, P = .003, eta(2) = 0.070). Using the Bonferroni correction (P <or= .00625), we found differences between the 9th grade and 11th and 12th grades.
CONCLUSIONS: Baseline neuropsychological test scores in high school athletes improved as a function of age, with differences between the 9th grade and 11th and 12th grades. Because the differences were driven by 9th-grade test scores, baseline testing should be completed, at minimum, upon entrance into 9th and 10th grades; however, annual testing is still recommended until additional research is conducted.

Entities:  

Keywords:  adolescents; cognitive maturity; concussions; mild traumatic brain injuries

Mesh:

Year:  2009        PMID: 19593423      PMCID: PMC2707063          DOI: 10.4085/1062-6050-44.4.405

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


  26 in total

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3.  Repeat Administration Elicits a Practice Effect With the Balance Error Scoring System but Not With the Standardized Assessment of Concussion in High School Athletes.

Authors:  Tamara C. Valovich; David H. Perrin; Bruce M. Gansneder
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4.  National Athletic Trainers' Association Position Statement: Management of Sport-Related Concussion.

Authors:  Kevin M Guskiewicz; Scott L Bruce; Robert C Cantu; Michael S Ferrara; James P Kelly; Michael McCrea; Margot Putukian; Tamara C Valovich McLeod
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5.  Mild head injury and speed of information processing: a prospective study of professional rugby league players.

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Journal:  J Trauma       Date:  2001-08

7.  Predicting recovery from head injury in young children: a prospective analysis.

Authors:  V A Anderson; S A Morse; G Klug; C Catroppa; F Haritou; J Rosenfeld; L Pentland
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8.  Evidence for the Factorial and Construct Validity of a Self-Report Concussion Symptoms Scale.

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Journal:  J Athl Train       Date:  2003-06       Impact factor: 2.860

9.  Handedness in relation to measures of motor and tactile-perceptual functions in normal children.

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10.  Acute effects and recovery time following concussion in collegiate football players: the NCAA Concussion Study.

Authors:  Michael McCrea; Kevin M Guskiewicz; Stephen W Marshall; William Barr; Christopher Randolph; Robert C Cantu; James A Onate; Jingzhen Yang; James P Kelly
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  14 in total

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2.  Two-year Test-Retest Reliability of ImPACT in High School Athletes.

Authors:  William T Tsushima; Andrea M Siu; Annina M Pearce; Guangxiang Zhang; Ross S Oshiro
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Journal:  J Clin Diagn Res       Date:  2014-11-20

4.  Acute Sport Concussion Assessment Optimization: A Prospective Assessment from the CARE Consortium.

Authors:  Steven P Broglio; Jaroslaw Harezlak; Barry Katz; Shi Zhao; Thomas McAllister; Michael McCrea
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5.  A Retrospective Cross-Sectional and Longitudinal Study of the Effects of Age on CNS Vital Signs Scores in High-School Athletes.

Authors:  Sharon D Rogers; Patrick J Smith; Alexandra J Stephenson; D Erik Everhart
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Review 6.  The young brain and concussion: imaging as a biomarker for diagnosis and prognosis.

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7.  Neuropsychological test performance of Hawai'i high school athletes: updated Hawai'i immediate post-concussion assessment and cognitive testing data.

Authors:  William T Tsushima; Andrea M Siu
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8.  National Athletic Trainers' Association position statement: management of sport concussion.

Authors:  Steven P Broglio; Robert C Cantu; Gerard A Gioia; Kevin M Guskiewicz; Jeffrey Kutcher; Michael Palm; Tamara C Valovich McLeod
Journal:  J Athl Train       Date:  2014-03-07       Impact factor: 2.860

9.  Invalid performance and the ImPACT in national collegiate athletic association division I football players.

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10.  Age-related differences and reliability on computerized and paper-and-pencil neurocognitive assessment batteries.

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