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Inter-individual variability in discourse informativeness in elderly populations

Auteur(s)
Pistono, Aurélie
Pariente, Jeremie
Bezy, Catherine
Pastor, Josette
Tran, Thi Mai
Renard, Antoine
Fossard, Marion 
Institut des sciences logopédiques 
Nespoulous, Jean Luc
Jucla, Mélanie
Date de parution
2017-2-7
In
Clinical Linguistics & phonetics
Vol.
5
No
31
De la page
391
A la page
408
Revu par les pairs
1
Mots-clés
  • Cluster analysis

  • cognition

  • discourse analysis

  • inter-individual vari...

  • narrative

Résumé
ABSTRACT
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.
URI
https://libra.unine.ch/handle/123456789/25374
DOI
10.1080/02699206.2016.1277390
Autre version
http://dx.doi.org/10.1080/02699206.2016.1277390
Type de publication
Resource Types::text::journal::journal article
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