Papers

Peer-reviewed
Feb, 2019

High frequency of getting out of bed in patients with Alzheimer's disease monitored by non-wearable actigraphy.

Geriatrics & gerontology international
  • Yoko Higami
  • ,
  • Miyae Yamakawa
  • ,
  • Kazue Shigenobu
  • ,
  • Kei Kamide
  • ,
  • Kiyoko Makimoto

Volume
19
Number
2
First page
130
Last page
134
Language
English
Publishing type
DOI
10.1111/ggi.13565

AIM: Sleep disturbances in patients with Alzheimer's disease have not been systematically evaluated, because sleep monitoring has proved difficult. Our goal was to quantitatively characterize sleep disturbances in patients with Alzheimer's disease. METHODS: The present study was a cross-sectional descriptive study, carried out in dementia care units in Japan. Participants were 63 patients with Alzheimer's disease (mean age 77.6 ± 8.0 years) with severe behavioral and psychological symptoms of dementia. A non-wearable actigraphy device placed under patient mattresses was used to measure sleep parameters: sleep time, time in bed, number of wakings and number of times they left the bed. Cut-off points for sleep parameters were based on the interquartile range of the data. RESULTS: Median nocturnal sleep time was 6.2 h (interquartile range 2.7 h). Median frequency of waking was eight times (5)/night. Median frequency of leaving the bed was five times (6), with a maximum of 31/night. We identified three types of sleep disturbance: frequent bed leaving, short sleep time and excessive sleep time. Multiple linear regression showed that duration of dementia was a significant predictor of frequent bed leaving at night (P = 0.042). CONCLUSIONS: Frequent bed leaving at night reflects severe sleep deprivation in patients with mild-to-severe Alzheimer's disease. Safety measures are required to prevent accidents related to sleep disturbances, regardless of dementia severity. Geriatr Gerontol Int 2019; 19: 130-134.

Link information
DOI
https://doi.org/10.1111/ggi.13565
CiNii Research
https://cir.nii.ac.jp/crid/1360286995496630400?lang=en
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/30463102
URL
http://onlinelibrary.wiley.com/wol1/doi/10.1111/ggi.13565/fullpdf
URL
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18K03035/
ID information
  • DOI : 10.1111/ggi.13565
  • ISSN : 1444-1586
  • CiNii Research ID : 1360286995496630400
  • Pubmed ID : 30463102

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