Literature DB >> 10456800

Repeated measures of cognitive processing efficiency in adolescent athletes: implications for monitoring recovery from concussion.

J C Daniel1, M H Olesniewicz, D L Reeves, D Tam, J Bleiberg, R Thatcher, A Salazar.   

Abstract

OBJECTIVE: The objective of this study was to determine whether an adolescent athlete, in the absence of concussion, would be expected to show an improvement in cognitive function during the course of a high school football season.
BACKGROUND: At least 60,000 American high school football players suffer cerebral concussion every year, and symptoms may persist for 4 or more years in as many as 24%.
METHOD: 34 members of a cohort of healthy athletes, aged 13-18, were administered a computerized neuropsychologic test battery from the Automated Neuropsychological Assessment Metrics (ANAM) before and after the 1997 high school football season, with a mean interval of 16.1 (range 12.3-20.4) weeks between tests. Preseason and postseason scores on eight tests were compared, with significance determined by paired t-test. For those tests in which an improvement was noted, one-way analysis of variance and Wilcoxon tests were used with both preseason and postseason data to determine if there was a measurable difference in cognitive processing efficiency between older and younger subjects.
RESULTS: Improvements in processing efficiency (p < 0.001) were noted on tests designed to measure visual scanning and sustained attention (CDS), immediate recall (CDI), and short-term memory (CDD). Older subjects generally performed better on each of these tests, though the difference was significant in only one case (postseason CDI, 17-18 year olds vs. 13-14 year olds, Wilcoxon, p = 0.043).
CONCLUSIONS: Our findings suggest that ANAM is sensitive to differences and improvements in cognitive function during a 4 month interval in adolescence. They also suggest that using "return to baseline" cognitive function as the criterion for evidence of recovery from concussion may be insufficient, especially when the baseline measurement was obtained 4 or more months prior to the date of "full recovery."

Entities:  

Mesh:

Year:  1999        PMID: 10456800

Source DB:  PubMed          Journal:  Neuropsychiatry Neuropsychol Behav Neurol        ISSN: 0894-878X


  21 in total

1.  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
Journal:  J Athl Train       Date:  2003-03       Impact factor: 2.860

2.  Implementation of Neuropsychological Testing Models for the High School, Collegiate, and Professional Sport Settings.

Authors:  Christopher Randolph
Journal:  J Athl Train       Date:  2001-09       Impact factor: 2.860

3.  Performance of the Automated Neuropsychological Assessment Metrics (ANAM) in detecting cognitive impairment in heart failure patients.

Authors:  Susan S Xie; Carly M Goldstein; Emily C Gathright; John Gunstad; Mary A Dolansky; Joseph Redle; Joel W Hughes
Journal:  Heart Lung       Date:  2015 Sep-Oct       Impact factor: 2.210

4.  Is neuropsychological testing useful in the management of sport-related concussion?

Authors:  Christopher Randolph; Michael McCrea; William B Barr
Journal:  J Athl Train       Date:  2005 Jul-Sep       Impact factor: 2.860

5.  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
Journal:  J Athl Train       Date:  2004-09       Impact factor: 2.860

Review 6.  Management of sport-related concussion in young athletes.

Authors:  Dilip R Patel; Vandana Shivdasani; Robert J Baker
Journal:  Sports Med       Date:  2005       Impact factor: 11.136

7.  Research based recommendations on management of sport related concussion: summary of the National Athletic Trainers' Association position statement.

Authors:  K M Guskiewicz; S L Bruce; R C Cantu; M S Ferrara; J P Kelly; M McCrea; M Putukian; T C Valovich McLeod
Journal:  Br J Sports Med       Date:  2006-01       Impact factor: 13.800

8.  Value of neuropsychological testing after head injuries in football.

Authors:  P McCrory; M Makdissi; G Davis; A Collie
Journal:  Br J Sports Med       Date:  2005-08       Impact factor: 13.800

Review 9.  Applications of technology in neuropsychological assessment.

Authors:  Carolyn M Parsey; Maureen Schmitter-Edgecombe
Journal:  Clin Neuropsychol       Date:  2013-09-16       Impact factor: 3.535

10.  Athlete characteristics and outcome scores for computerized neuropsychological assessment: a preliminary analysis.

Authors:  Cathleen N Brown; Kevin M Guskiewicz; Joseph Bleiberg
Journal:  J Athl Train       Date:  2007 Oct-Dec       Impact factor: 2.860

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