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35 Correlations Between Sleep and Cognitive Functioning in Healthy, Older Adults

Published online by Cambridge University Press:  21 December 2023

Krikor Bornazyan*
Affiliation:
University of Iowa Carver College of Medicine, Iowa City, IA, USA
M Bridget Zimmerman
Affiliation:
University of Iowa Carver College of Medicine, Iowa City, IA, USA
Sam M Collins
Affiliation:
University of Iowa Carver College of Medicine, Iowa City, IA, USA
Cole R Toovey
Affiliation:
University of Iowa Carver College of Medicine, Iowa City, IA, USA
Natalie L Denburg
Affiliation:
University of Iowa Carver College of Medicine, Iowa City, IA, USA
*
Correspondence: Krikor Bornazyan, University of Iowa Carver College of Medicine, krikor-bornazyan@uiowa.edu
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Abstract

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Objective:

Alzheimer’s disease (AD), a leading cause of dementia worldwide, affected an estimated 47 million people in 2015, placing a burden of over $1 trillion on health systems. Subclinical markers of AD pathology are seen many years before the clinical onset of dementia, suggesting that steps could be taken to prevent progression to disease in healthy individuals. Sleep optimizes cognition by creating a window of opportunity to consolidate memories, prune synaptic networks, and clear waste products. Studies that characterize the relationship between sleep and cognitive function prior to the onset of clinical AD could guide research into effective methods of delaying AD onset or preventing it altogether. The objective of our study is to describe how sleep quality and quantity correlate with performance on cognitive assessments within a healthy, aging population.

Participants and Methods:

Seventeen participants, between 62-82 years of age enrolled in an ongoing clinical trial assessing the effects of melatonin (5mg daily) versus placebo, were included in our study. Participants were observed over a 2-month period, during which no experimental interventions were administered. At study entry, participants underwent a comprehensive neuropsychological evaluation evaluating cognitive domains of attention, memory, speed of information processing, language, executive functioning, and mood. Afterwards, all participants wore a watch that measured actigraphy and light data (Philips Actiwatch Spectrum Pro actigraphy monitor) for 8 weeks to evaluate their sleep habits. Pearson and Spearman partial correlations were used to evaluate relationships between objective sleep parameters and baseline cognitive function test scores.

Results:

Aberrations of sleep length, sleep fragmentation, and daytime activity measures significantly correlated with cognitive performance on memory, language, visuospatial skills, and speed of processing tests (p = <0.05). Greater variability of awakenings at nighttime associated with better scores on memory tests but worse scores on language tests. Longer sleep times associated with worse language scores, while greater variability in daily activity correlated with poorer scores on visuospatial skills tests and speed of processing tests.

Conclusions:

This study establishes a framework for obtaining longitudinal sleep data in conjunction with serial cognitive function testing, encouraging further exploration into how sleep metrics affect specific domains of cognitive function. Findings suggest that having a less consistent sleep routine correlates with poorer cognitive function across multiple domains. The authors recommend broader analysis of actigraphy and cognitive function testing as objective measures of sleep and cognition in research and clinical practice.

Type
Poster Session 03: Dementia | Amnesia | Memory | Language | Executive Functions
Copyright
Copyright © INS. Published by Cambridge University Press, 2023