Literature DB >> 12544161

CogSport: reliability and correlation with conventional cognitive tests used in postconcussion medical evaluations.

Alexander Collie1, Paul Maruff, Michael Makdissi, Paul McCrory, Michael McStephen, David Darby.   

Abstract

OBJECTIVE: To determine the repeatability of a computerized cognitive test designed to monitor recovery from concussion and assist team physicians make return to play decisions (CogSport). To determine the correlation between CogSport and two conventional neuropsychological tests.
DESIGN: Prospective, serial investigation of cognitive function.
SETTING: Professional and semi-professional Australian Football clubs and a university affiliated research institute in Melbourne, Australia. PARTICIPANTS: Three-hundred healthy young adults, including 240 elite athletes. MAIN OUTCOME MEASURES: Intra-class correlation (ICC) coefficients for CogSport performance measures administered serially. ICC between CogSport performance measures and conventional neuropsychological tests. Normative data for CogSport performance measures.
RESULTS: Measures of psychomotor function, decision making, working memory and learning were highly reliable. Some measures also displayed high correlations with conventional neuropsychological tests of information processing and attention. Preliminary normative data is described.
CONCLUSIONS: CogSport is a highly reliable cognitive function test when administered to healthy young adults and elite athletes. CogSport measures similar cognitive functions as conventional tests used commonly in concussion research.

Entities:  

Mesh:

Year:  2003        PMID: 12544161     DOI: 10.1097/00042752-200301000-00006

Source DB:  PubMed          Journal:  Clin J Sport Med        ISSN: 1050-642X            Impact factor:   3.638


  80 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.  Psychometric issues associated with computerised neuropsychological assessment of concussed athletes.

Authors:  A Collie; P Maruff; M McStephen; D G Darby
Journal:  Br J Sports Med       Date:  2003-12       Impact factor: 13.800

3.  Statistical procedures for determining the extent of cognitive change following concussion.

Authors:  A Collie; P Maruff; M Makdissi; M McStephen; D G Darby; P McCrory
Journal:  Br J Sports Med       Date:  2004-06       Impact factor: 13.800

4.  Sport psychology and concussion: new impacts to explore.

Authors:  G A Bloom; A S Horton; P McCrory; K M Johnston
Journal:  Br J Sports Med       Date:  2004-10       Impact factor: 13.800

5.  Can we manage sport related concussion in children the same as in adults?

Authors:  P McCrory; A Collie; V Anderson; G Davis
Journal:  Br J Sports Med       Date:  2004-10       Impact factor: 13.800

Review 6.  An evaluation on the neuropsychological tests used in the assessment of postchemotherapy cognitive changes in breast cancer survivors.

Authors:  Yin Ting Cheung; Earl Hsien-Jie Tan; Alexandre Chan
Journal:  Support Care Cancer       Date:  2012-04-05       Impact factor: 3.603

7.  Nurse-Enhanced Memory Intervention in Heart Failure: the MEMOIR study.

Authors:  Susan J Pressler; Barbara Therrien; Penny L Riley; Cheng-Chen Chou; David L Ronis; Todd M Koelling; Dean G Smith; Barbara Jean Sullivan; Ann-Marie Frankini; Bruno Giordani
Journal:  J Card Fail       Date:  2011-10       Impact factor: 5.712

8.  A diffusion tensor imaging study on the white matter skeleton in individuals with sports-related concussion.

Authors:  Valerie A Cubon; Margot Putukian; Cynthia Boyer; Annegret Dettwiler
Journal:  J Neurotrauma       Date:  2011-01-27       Impact factor: 5.269

9.  Physical fitness mediates the association between age and cognition in healthy adults.

Authors:  Yaara Orland; Michal Schnaider Beeri; Sigal Levy; Ariel Israel; Ramit Ravona-Springer; Shlomo Segev; Odelia Elkana
Journal:  Aging Clin Exp Res       Date:  2020-06-15       Impact factor: 3.636

10.  Evaluating the Recovery Curve for Clinically Assessed Reaction Time After Concussion.

Authors:  Gianluca Del Rossi
Journal:  J Athl Train       Date:  2017-07-19       Impact factor: 2.860

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