Your browser doesn't support javascript.
loading
Assessment of cognitive function and sleep-wake rhythms in community-dwelling older adults.
Okuda, Masato; Noda, Akiko; Iwamoto, Kunihiro; Hishikawa, Nozomi; Miyata, Seiko; Yasuma, Fumihiko; Taoka, Toshiaki; Ozaki, Norio; Suhr, Julie A; Miyazaki, Soichiro.
Afiliação
  • Okuda M; Department of Biomedical Sciences, Chubu University Graduate School of Life and Health Sciences, 1200, Matsumoto-cho, Kasugai, Aichi 487-8501 Japan.
  • Noda A; Department of Biomedical Sciences, Chubu University Graduate School of Life and Health Sciences, 1200, Matsumoto-cho, Kasugai, Aichi 487-8501 Japan.
  • Iwamoto K; Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Hishikawa N; Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Miyata S; Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Yasuma F; Department of Biomedical Sciences, Chubu University Collage of Life and Health Sciences, Kasugai, Japan.
  • Taoka T; Department of Innovative Biomedical Visualization, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Ozaki N; Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Suhr JA; Department of Psychology, Ohio University, Athens, OH USA.
  • Miyazaki S; Research Institute of Life and Health Sciences, Chubu University, Kasugai, Japan.
Sleep Biol Rhythms ; 22(1): 137-145, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38476850
ABSTRACT
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 r = - 0.276, p = 0.013, TE r = 0.311, p = 0.005, PEN r = 0.241, p = 0.032, NPE r = 0.250, p = 0.025, DMS r = 0.235, p = 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 ß = - 0.322, p = 0.004; sleep timing SD ß = - 0.250, p = 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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sleep Biol Rhythms Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sleep Biol Rhythms Ano de publicação: 2024 Tipo de documento: Article