Literature DB >> 32310293

Natural, Everyday Language Use Provides a Window Into the Integrity of Older Adults' Executive Functioning.

Angelina J Polsinelli1, Suzanne A Moseley2, Matthew D Grilli3,4, Elizabeth L Glisky3, Matthias R Mehl3.   

Abstract

OBJECTIVES: Language markers derived from structured clinical interviews and assessments have been found to predict age-related normal and pathological cognitive functioning. An important question, then, is the degree to which the language that people use in their natural daily interactions, rather than their language elicited within and specifically for clinical assessment, carries information about key cognitive functions associated with age-related decline. In an observational study, we investigated how variability in executive functioning (EF) manifests in patterns of daily word use.
METHOD: Cognitively normal older adults (n = 102; mean age 76 years) wore the electronically activated recorder, an ambulatory monitoring device that intermittently recorded short snippets of ambient sounds, for 4 days, yielding an acoustic log of their daily conversations as they naturally unfolded. Verbatim transcripts of their captured utterances were text-analyzed using linguistic inquiring and word count. EF was assessed with a validated test battery measuring WM, shifting, and inhibitory control.
RESULTS: Controlling for age, education, and gender, higher overall EF, and particularly working memory, was associated with analytic (e.g., more articles and prepositions), complex (e.g., more longer words), and specific (e.g., more numbers) language in addition to other language markers (e.g., a relatively less positive emotional tone, more sexual and swear words). DISCUSSION: This study provides first evidence that the words older adults use in daily life provide a window into their EF.
© The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Computational linguistics; EAR; Executive functioning; LIWC; Mobile sensing

Year:  2020        PMID: 32310293     DOI: 10.1093/geronb/gbaa055

Source DB:  PubMed          Journal:  J Gerontol B Psychol Sci Soc Sci        ISSN: 1079-5014            Impact factor:   4.077


  3 in total

1.  Older Adult's Marital Status, Conversation Frequency, and Well-Being in Everyday Life.

Authors:  Yee To Ng; Meng Huo; Sae Hwang Han; Kira S Birditt; Karen L Fingerman
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2022-03-03       Impact factor: 4.942

2.  Deep multiple instance learning for foreground speech localization in ambient audio from wearable devices.

Authors:  Rajat Hebbar; Pavlos Papadopoulos; Ramon Reyes; Alexander F Danvers; Angelina J Polsinelli; Suzanne A Moseley; David A Sbarra; Matthias R Mehl; Shrikanth Narayanan
Journal:  EURASIP J Audio Speech Music Process       Date:  2021-02-03

3.  Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach.

Authors:  Andrea Ferrario; Minxia Luo; Angelina J Polsinelli; Suzanne A Moseley; Matthias R Mehl; Kristina Yordanova; Mike Martin; Burcu Demiray
Journal:  JMIR Aging       Date:  2022-03-08
  3 in total

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