Literature DB >> 22892411

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

Johna K Register-Mihalik1, Daniel L Kontos, Kevin M Guskiewicz, Jason P Mihalik, Robert Conder, Edgar W Shields.   

Abstract

CONTEXT: Neurocognitive testing is a recommended component in a concussion assessment. Clinicians should be aware of age and practice effects on these measures to ensure appropriate understanding of results.
OBJECTIVE: To assess age and practice effects on computerized and paper-and-pencil neurocognitive testing batteries in collegiate and high school athletes.
DESIGN: Cohort study.
SETTING: Classroom and laboratory. PATIENTS OR OTHER PARTICIPANTS: Participants consisted of 20 collegiate student-athletes (age = 20.00 ± 0.79 years) and 20 high school student-athletes (age = 16.00 ± 0.86 years). MAIN OUTCOME MEASURE(S): Hopkins Verbal Learning Test scores, Brief Visual-Spatial Memory Test scores, Trail Making Test B total time, Symbol Digit Modalities Test score, Stroop Test total score, and 5 composite scores from the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) served as outcome measures. Mixed-model analyses of variance were used to examine each measure.
RESULTS: Collegiate student-athletes performed better than high school student-athletes on ImPACT processing speed composite score (F(1,38) = 5.03, P = .031) at all time points. No other age effects were observed. The Trail Making Test B total time (F(2,66) = 73.432, P < .001), Stroop Test total score (F(2,76) = 96.85, P = < .001) and ImPACT processing speed composite score (F(2,76) = 5.81, P = .005) improved in test sessions 2 and 3 compared with test session 1. Intraclass correlation coefficient calculations demonstrated values ranging from 0.12 to 0.72.
CONCLUSIONS: An athlete's neurocognitive performance may vary across sessions. It is important for clinicians to know the reliability and precision of these tests in order to properly interpret test scores.

Entities:  

Mesh:

Year:  2012        PMID: 22892411      PMCID: PMC3392160          DOI: 10.4085/1062-6050-47.3.13

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


  37 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

2.  The effects of practice on the cognitive test performance of neurologically normal individuals assessed at brief test-retest intervals.

Authors:  Alexander Collie; Paul Maruff; David G Darby; Michael McStephen
Journal:  J Int Neuropsychol Soc       Date:  2003-03       Impact factor: 2.892

3.  Cumulative effects of concussion in high school athletes.

Authors:  Michael W Collins; Mark R Lovell; Grant L Iverson; Robert C Cantu; Joseph C Maroon; Melvin Field
Journal:  Neurosurgery       Date:  2002-11       Impact factor: 4.654

4.  Trends in concussion incidence in high school sports: a prospective 11-year study.

Authors:  Andrew E Lincoln; Shane V Caswell; Jon L Almquist; Reginald E Dunn; Joseph B Norris; Richard Y Hinton
Journal:  Am J Sports Med       Date:  2011-01-29       Impact factor: 6.202

5.  Validity of ImPACT for measuring processing speed following sports-related concussion.

Authors:  Grant L Iverson; Mark R Lovell; Michael W Collins
Journal:  J Clin Exp Neuropsychol       Date:  2005-08       Impact factor: 2.475

6.  Retest reliability in adolescents of a computerized neuropsychological battery used to assess recovery from concussion.

Authors:  Sidney J Segalowitz; Patrick Mahaney; Diane L Santesso; Leslie MacGregor; Jane Dywan; Barry Willer
Journal:  NeuroRehabilitation       Date:  2007       Impact factor: 2.138

7.  Consensus Statement on Concussion in Sport: the 3rd International Conference on Concussion in Sport held in Zurich, November 2008.

Authors:  P McCrory; W Meeuwisse; K Johnston; J Dvorak; M Aubry; M Molloy; R Cantu
Journal:  Br J Sports Med       Date:  2009-05       Impact factor: 13.800

8.  Psychometric and measurement properties of concussion assessment tools in youth sports.

Authors:  Tamara C Valovich McLeod; William B Barr; Michael McCrea; Kevin M Guskiewicz
Journal:  J Athl Train       Date:  2006 Oct-Dec       Impact factor: 2.860

9.  Repeated assessment of neuropsychological deficits in multiple sclerosis using the Symbol Digit Modalities Test and the MS Neuropsychological Screening Questionnaire.

Authors:  R H B Benedict; J A Duquin; S Jurgensen; R A Rudick; J Feitcher; F E Munschauer; M A Panzara; B Weinstock-Guttman
Journal:  Mult Scler       Date:  2008-06-23       Impact factor: 6.312

10.  The trail making test, part B: cognitive flexibility or ability to maintain set?

Authors:  Kathleen Bechtold Kortte; Michael David Horner; Whitney K Windham
Journal:  Appl Neuropsychol       Date:  2002
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  20 in total

Review 1.  Reliability of Computerized Neurocognitive Tests for Concussion Assessment: A Meta-Analysis.

Authors:  James L Farnsworth; Lucas Dargo; Brian G Ragan; Minsoo Kang
Journal:  J Athl Train       Date:  2017-08-03       Impact factor: 2.860

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
Journal:  Arch Clin Neuropsychol       Date:  2015-11-15       Impact factor: 2.813

Review 3.  Computerized neurocognitive testing in the management of sport-related concussion: an update.

Authors:  Jacob E Resch; Michael A McCrea; C Munro Cullum
Journal:  Neuropsychol Rev       Date:  2013-12-04       Impact factor: 7.444

4.  Study the effect of age and gender related differences on common paper and pencil neurocognitive tests in adolescents.

Authors:  Vivek Kumar Sharma; Senthil Kumar Subramanian; Vinayathan A; Sarah R; Balasubramaniam Sr; Velkumary S
Journal:  J Clin Diagn Res       Date:  2014-11-20

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
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

6.  The influence of differences in neurocognitive function on lower limb kinematics, kinetics, and muscle activity during an unanticipated cutting motion.

Authors:  Satoshi Shibata; Masahiro Takemura; Shumpei Miyakawa
Journal:  Phys Ther Res       Date:  2018-08-30

7.  RELIABILITY AND CRITERION VALIDITY OF A NOVEL CLINICAL TEST OF SIMPLE AND COMPLEX REACTION TIME IN ATHLETES.

Authors:  James T Eckner; James K Richardson; Hogene Kim; Monica S Joshi; Youkeun K Oh; James A Ashton-Miller
Journal:  Percept Mot Skills       Date:  2015-06

8.  Prospective, Head-to-Head Study of Three Computerized Neurocognitive Assessment Tools (CNTs): Reliability and Validity for the Assessment of Sport-Related Concussion.

Authors:  Lindsay D Nelson; Ashley A LaRoche; Adam Y Pfaller; E Brooke Lerner; Thomas A Hammeke; Christopher Randolph; William B Barr; Kevin Guskiewicz; Michael A McCrea
Journal:  J Int Neuropsychol Soc       Date:  2016-01       Impact factor: 2.892

9.  Supervision and computerized neurocognitive baseline test performance in high school athletes: an initial investigation.

Authors:  Andrew Warren Kuhn; Gary S Solomon
Journal:  J Athl Train       Date:  2014 Nov-Dec       Impact factor: 2.860

10.  Test-retest, retest, and retest: Growth curve models of repeat testing with Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT).

Authors:  Arthur C Maerlender; Caitlin J Masterson; Tiffany D James; Jonathan Beckwith; Per Gunner Brolinson; Joe Crisco; Stefan Duma; Laura A Flashman; Rick Greenwald; Steven Rowson; Beth Wilcox; Tom W McAllister
Journal:  J Clin Exp Neuropsychol       Date:  2016-06-07       Impact factor: 2.475

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