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Cognitive Predictors of Perception and Adaption to Dysarthric Speech in Older Adults.

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Title: Cognitive Predictors of Perception and Adaption to Dysarthric Speech in Older Adults.
Authors: Lansford, Kaitlin L.1 klansford@fsu.edu, Hirsch, Micah E.1, Barrett, Tyson S.2, Borrie, Stephanie A.2
Source: Journal of Speech, Language & Hearing Research. 2025 Supplement, Vol. 68, p3507-3524. 18p.
Subject Terms: *Auditory perception testing, *Intellect, *Cognitive testing, *Dysarthria, *Psychological adaptation, *Intelligibility of speech, *Pre-tests & post-tests, *Attention, *Speech perception, *Hearing, *Vocabulary, *Short-term memory, Repeated measures design, Pearson correlation (Statistics), Prediction models, Task performance, Noise, Control (Psychology), Research funding, Cognitive processing speed, Severity of illness index, Mann Whitney U Test, Descriptive statistics, Linguistics, Sound recordings, Neuropsychological tests, Analysis of variance, Statistics, Data analysis software, Regression analysis, Cognitive flexibility, Middle age, Old age
Geographic Terms: Florida
Abstract: Purpose: In effortful listening conditions, speech perception and adaptation abilities are constrained by aging and often linked to age-related hearing loss and cognitive decline. Given that older adults are frequent communication partners of individuals with dysarthria, the current study examines cognitive--linguistic and hearing predictors of dysarthric speech perception and adaptation in older listeners. Method: Fifty-eight older adult listeners (aged 55--80 years) completed a battery of hearing and cognitive tasks administered via the National Institutes of Health Toolbox. Participants also completed a three-phase familiarization task (pretest, training, and posttest) with one of two speakers with dysarthria. Elastic net regression models of initial intelligibility (pretest) and intelligibility improvement (posttest) were constructed for each speaker with dysarthria to identify important cognitive and hearing predictors. Results: Overall, the regression models indicated that intelligibility outcomes were optimized for older listeners with better words-in-noise thresholds, vocabulary knowledge, working memory capacity, and cognitive flexibility. Despite some convergence across models, unique constellations of cognitive--linguistic and hearing parameters and their two-way interactions predicted speech perception and adaptation outcomes for the two speakers with dysarthria, who varied in terms of their severity and perceptual characteristics. Conclusion: Here, we add to an extensive body of work in related disciplines by demonstrating age-related declines in speech perception and adaptation to dysarthric speech can be traced back to specific hearing and cognitive-- linguistic factors. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Cognitive Predictors of Perception and Adaption to Dysarthric Speech in Older Adults.
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  Data: Purpose: In effortful listening conditions, speech perception and adaptation abilities are constrained by aging and often linked to age-related hearing loss and cognitive decline. Given that older adults are frequent communication partners of individuals with dysarthria, the current study examines cognitive--linguistic and hearing predictors of dysarthric speech perception and adaptation in older listeners. Method: Fifty-eight older adult listeners (aged 55--80 years) completed a battery of hearing and cognitive tasks administered via the National Institutes of Health Toolbox. Participants also completed a three-phase familiarization task (pretest, training, and posttest) with one of two speakers with dysarthria. Elastic net regression models of initial intelligibility (pretest) and intelligibility improvement (posttest) were constructed for each speaker with dysarthria to identify important cognitive and hearing predictors. Results: Overall, the regression models indicated that intelligibility outcomes were optimized for older listeners with better words-in-noise thresholds, vocabulary knowledge, working memory capacity, and cognitive flexibility. Despite some convergence across models, unique constellations of cognitive--linguistic and hearing parameters and their two-way interactions predicted speech perception and adaptation outcomes for the two speakers with dysarthria, who varied in terms of their severity and perceptual characteristics. Conclusion: Here, we add to an extensive body of work in related disciplines by demonstrating age-related declines in speech perception and adaptation to dysarthric speech can be traced back to specific hearing and cognitive-- linguistic factors. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=187102502
RecordInfo BibRecord:
  BibEntity:
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      – Type: doi
        Value: 10.1044/2024_JSLHR-24-00345
    Languages:
      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 3507
    Subjects:
      – SubjectFull: Auditory perception testing
        Type: general
      – SubjectFull: Intellect
        Type: general
      – SubjectFull: Cognitive testing
        Type: general
      – SubjectFull: Dysarthria
        Type: general
      – SubjectFull: Psychological adaptation
        Type: general
      – SubjectFull: Intelligibility of speech
        Type: general
      – SubjectFull: Pre-tests & post-tests
        Type: general
      – SubjectFull: Attention
        Type: general
      – SubjectFull: Speech perception
        Type: general
      – SubjectFull: Hearing
        Type: general
      – SubjectFull: Vocabulary
        Type: general
      – SubjectFull: Short-term memory
        Type: general
      – SubjectFull: Repeated measures design
        Type: general
      – SubjectFull: Pearson correlation (Statistics)
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Task performance
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      – SubjectFull: Noise
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      – SubjectFull: Control (Psychology)
        Type: general
      – SubjectFull: Research funding
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      – SubjectFull: Cognitive processing speed
        Type: general
      – SubjectFull: Severity of illness index
        Type: general
      – SubjectFull: Mann Whitney U Test
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Linguistics
        Type: general
      – SubjectFull: Sound recordings
        Type: general
      – SubjectFull: Neuropsychological tests
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      – SubjectFull: Regression analysis
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      – SubjectFull: Cognitive flexibility
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      – SubjectFull: Middle age
        Type: general
      – SubjectFull: Old age
        Type: general
      – SubjectFull: Florida
        Type: general
    Titles:
      – TitleFull: Cognitive Predictors of Perception and Adaption to Dysarthric Speech in Older Adults.
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              Text: 2025 Supplement
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