Assessment of cognitive function and sleep-wake rhythms in community-dwelling older adults.

Journal: Sleep and biological rhythms

Volume: 22

Issue: 1

Year of Publication: 

Affiliated Institutions:  Department of Biomedical Sciences, Chubu University Graduate School of Life and Health Sciences, , Matsumoto-cho, Kasugai, Aichi - Japan. Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan. Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan. Department of Biomedical Sciences, Chubu University Collage of Life and Health Sciences, Kasugai, Japan. Department of Innovative Biomedical Visualization, Nagoya University Graduate School of Medicine, Nagoya, Japan. Department of Psychology, Ohio University, Athens, OH USA. Research Institute of Life and Health Sciences, Chubu University, Kasugai, Japan.

Abstract summary 

Disruption of the circadian rhythm and sleep-wake cycles is a consequence of aging and is associated with the cognitive decline and many neurodegenerative conditions. We investigated the bedtime, wake-up time, sleep timing (midpoint between bedtime and wake-up time), and sleep timing standard deviation (SD) using the actigraphy among 80 consecutive volunteers aged ≥ 60 years. Global cognitive function and executive function of detailed cognitive domains were evaluated using the mini-mental state examination (MMSE) and Wisconsin card sorting test (WCST) and subjective daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS). The category achievement (CA), total errors (TE), perseverative errors of Nelson (PEN), non-perseverative errors (NPE), and difficulties in maintaining set (DMS) on the WCST were significantly correlated with sleep timing SD (CA:  = - 0.276,  = 0.013, TE:  = 0.311,  = 0.005, PEN:  = 0.241,  = 0.032, NPE:  = 0.250,  = 0.025, DMS:  = 0.235,  = 0.036), but not with the MMSE score. Multiple regression analyses with the stepwise forward selection method including age, ESS score, bedtime, sleep timing, and sleep timing SD revealed that the ESS score, and sleep timing SD were significant factors related to CA on the WCST (ESS score:  = - 0.322,  = 0.004; sleep timing SD:  = - 0.250,  = 0.022). Assessment of sleep-wake rhythms, daytime sleepiness, and cognitive function using the MMSE and WCST is valuable for the prediction of cognitive decline in the geriatric population.

Authors & Co-authors:  Okuda Noda Iwamoto Hishikawa Miyata Yasuma Taoka Ozaki Suhr Miyazaki

Study Outcome 

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Statistics
Citations :  Yaffe K, Falvey CM, Hoang T. Connections between sleep and cognition in older adults. Lancet Neurol. 2014;13(10):1017–1028. doi: 10.1016/S1474-4422(14)70172-3.
Authors :  10
Identifiers
Doi : 10.1007/s41105-023-00491-z
SSN : 1446-9235
Study Population
Male,Female
Mesh Terms
Other Terms
Actigraphy;Daytime sleepiness;Executive function;Sleep timing;Sleep–wake rhythm
Study Design
Study Approach
Country of Study
Publication Country
Japan