Inter-individual variability in discourse informativeness in elderly populations
Autor: | Jean-Luc Nespoulous, Marion Fossard, Antoine Renard, Mélanie Jucla, Thi Mai Tran, Catherine Bézy, Aurélie Pistono, Josette Pastor, Jérémie Pariente |
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Rok vydání: | 2017 |
Předmět: |
Male
Aging Linguistics and Language media_common.quotation_subject Discourse analysis 050105 experimental psychology Language and Linguistics 03 medical and health sciences Speech and Hearing Fluency Cognition 0302 clinical medicine Humans Speech 0501 psychology and cognitive sciences Normality Aged media_common Aged 80 and over Narration 05 social sciences Linguistics Middle Aged Syntax Spelling Focus (linguistics) Linguistic performance Female Psychology 030217 neurology & neurosurgery Cognitive psychology |
Zdroj: | Clinical Linguistics & Phonetics. 31:391-408 |
ISSN: | 1464-5076 0269-9206 |
DOI: | 10.1080/02699206.2016.1277390 |
Popis: | An increasing number of studies focus on discourse production in patients with neurodegenerative diseases and underline its clinical usefulness. However, if this is to be used as a clinical tool, one needs to consider how normal discourse varies within cognitively unimpaired elderly populations. In the current study, the aim has been to investigate discourse macrolinguistic variability. For this, 123 participants aged between 55 and 84 were recruited. A cluster analysis of their discourse macrolinguistic features was conducted. Then, cluster characterisation based on socio-demographic and linguistic performance was tested (fluency, naming, syntax and spelling). This method aims to identify various profiles of speaker and informativeness and then see if inter-individual variability may be related to socio-demographic and/or linguistic aspects. Four clusters of informativeness were found but no socio-demographic features appeared significant. The fourth cluster, defined as 'off topic', had lower performance during linguistic tasks than others and thus the boundary between normality and pathology should be questioned. |
Databáze: | OpenAIRE |
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