Normative data for eight verbal fluency measures in older Danish adults.


Journal

Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition
ISSN: 1744-4128
Titre abrégé: Neuropsychol Dev Cogn B Aging Neuropsychol Cogn
Pays: United States
ID NLM: 9614434

Informations de publication

Date de publication:
01 2020
Historique:
pubmed: 22 3 2019
medline: 5 2 2021
entrez: 22 3 2019
Statut: ppublish

Résumé

Verbal fluency tests are quickly administered, easy to use, and regularly used in the neuropsychological assessment. The aim of this study was to present regression-based reference data for eight different verbal fluency tests in a Danish sample (aged 60-96 years) to determine the influence of age, gender, and education on test-performances. The results showed that age and education were significantly associated with both categories, lexical and alternating fluency tests, and gender had a significant impact on two tests. All tests were significantly correlated, but there was a much stronger association between tests of the same type (lexical versus category) than between different types of tests indicating that various fluency tasks draw on different cognitive abilities. Specific patterns of impairment can be analyzed using these normative data and may be important in the assessment of dementia spectrum disorders.

Identifiants

pubmed: 30896283
doi: 10.1080/13825585.2019.1593935
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

114-124

Auteurs

Asmus Vogel (A)

Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Department of Psychology, University of Copenhagen, Copenhagen, Denmark.

Jette Stokholm (J)

Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

Kasper Jørgensen (K)

Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

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Classifications MeSH