Christine Parsons

Correlation between the Cogstate computerized measure and WAIS-IV among birth cohort mothers

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

DOI

  • Eeva-Leena Kataja, The FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Finland.
  • ,
  • Linnea Karlsson, Department of Child Psychiatry, Turku University Hospital and University of Turku, Finland.
  • ,
  • Mimmi Tolvanen, Department of Community Dentistry, University of Turku, Finland.
  • ,
  • Christine Parsons
  • Adrian Schembri, CogState Ltd., Melbourne, Australia.
  • ,
  • Hanna Kiiski-Mäki, Department of Psychology, University of Turku, Finland.
  • ,
  • Hasse Karlsson, Department of Psychiatry, University of Turku, Finland.

Objective: Large studies, with limited resources call for cost-effective cognitive assessment methods. Computerized tests offer viable alternatives but more data are needed on their functioning. Our aim was to evaluate the overlap between a computerized neuropsychological test battery and a traditional test of general intelligence (IQ).

Method: Cognitive functioning was assessed in birth cohort mothers (n = 80) with two widely used methods: Cogstate, computerized test battery, and WAIS-IV, a traditional IQ test. Correlational analyses were conducted.

Results: We found weak-to-moderate correlations between the measures, except for verbal comprehension. The indices of overall performance showed more consistent correlations than Subtests.

Discussion: The overall correlations were in accordance with earlier studies. Cogstate is relatively independent of verbal comprehension abilities. The choice of the cognitive assessment method should be strongly guided by the research question. More studies are needed to evaluate the applicability of the Cogstate Composite Score in cognitive screening.

Original languageEnglish
JournalArchives of Clinical Neuropsychology
Volume32
Issue2
Pages (from-to)252-258
Number of pages7
ISSN0887-6177
DOIs
Publication statusPublished - 1 Mar 2017

    Research areas

  • Adult, Cognition Disorders, Cohort Studies, Female, Humans, Intelligence Tests, Mothers, Neuropsychological Tests, Numerical Analysis, Computer-Assisted, Pregnancy, Statistics as Topic, Young Adult, Journal Article

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