Daily Sleep and Language Use in Late Life: A Latent Profile Analysis Approach
Zexi Zhou, Shiyang Zhang, Karen Fingerman

TL;DR
This study explores how sleep affects language use in older adults, finding that better sleep supports more complex and cognitively engaged language.
Contribution
The study introduces a new approach using latent profile analysis to identify distinct patterns of language use linked to sleep quality in older adults.
Findings
Two distinct language patterns were identified: cognitively engaged complex language and emotionally expressive informal language.
Longer sleep was associated with more cognitively engaged language, especially in those with better cognitive functioning.
Higher-quality sleep increased the likelihood of complex language use regardless of cognitive ability.
Abstract
Language is crucial for older adults’ cognitive activity and social communication, and everyday sleep may play a role in how they talk. This study examines the associations between cognitive functioning, daily sleep, and language use in late life. We used intensive longitudinal data of 266 older adults over 5–6 days from the Daily Experiences and Well-being Study (Mage = 73.74). At baseline, participants completed a battery of standard cognitive tests. Across the study period, Electronically Activated Recorder recorded participants’ ambient sound 30 seconds every 7 minutes. Every morning, participants reported their sleep the prior night. Linguistic Inquiry and Word Count software was used to generate linguistic features from transcriptions of recorded speech, including word count, complexity (i.e., words per sentence, words more than 6 letters), emotionality (positivity, negativity),…
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Taxonomy
TopicsSleep and related disorders · Dementia and Cognitive Impairment Research · Mental Health via Writing
