» Articles » PMID: 9130330

Use of Wrist Activity for Monitoring Sleep/wake in Demented Nursing-home Patients

Overview
Journal Sleep
Specialty Psychiatry
Date 1997 Jan 1
PMID 9130330
Citations 77
Authors
Affiliations
Soon will be listed here.
Abstract

Actigraphy is applicable for studying sleep in populations who are unable to tolerate traditional sleep-recording techniques, such as nursing-home patients who are infirm and demented. This study examined whether actigraphy can accurately reflect sleep/wake activity in this population by testing the reliability of a wrist-activity monitor, the Actillume, against traditional sleep measurements and against observations of nursing-home patients. Data from the Actillume are presented as two variables, the sum (total of all activity movements within the prescribed epoch) and the maximum activity (the largest or maximum movement recorded during the prescribed epoch), and by electroencephalogram (EEG). One difficulty in making comparisons was that the EEG records showed diffuse slowing, making it extremely difficult to score sleep/wake activity and making it difficult to use the EEG as a "gold standard". Nevertheless, the correlation for total sleep time from EEG and Actillume was r = 0.91 (p < 0.001) for sum activity and r = 0.81 for maximum activity (p < 0.005). Correlations for percent sleep were r = 0.78 (p < 0.01) for maximum activity and r = 0.61 for sum activity. The comparison of sleep/wake determined by the Actillume vs. observations resulted in a sensitivity of 87% and specificity of 90%. We conclude that the Actillume is the most feasible technique for studying sleep and wake activity in demented nursing-home patients.

Citing Articles

Assessing behavioral and psychological symptoms of dementia: a comprehensive review of current options and future perspectives.

Pozzi F, Cali L, Ferrarese C, Appollonio I, Tremolizzo L Front Dement. 2024; 2:1226060.

PMID: 39082001 PMC: 11285590. DOI: 10.3389/frdem.2023.1226060.


Tailored lighting intervention (TLI) for improving sleep-wake cycles in older adults living with dementia.

Figueiro M, Pedler D, Plitnick B, Zecena E, Leahy S Front Physiol. 2024; 14:1290678.

PMID: 38169838 PMC: 10759231. DOI: 10.3389/fphys.2023.1290678.


The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive Disorder.

Peerenboom N, Aryal S, Blankenship J, Swibas T, Zhai Y, Clay I Digit Biomark. 2023; 7(1):124-131.

PMID: 37901365 PMC: 10601929. DOI: 10.1159/000533523.


The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review.

Bate G, Kirk C, Rehman R, Guan Y, Yarnall A, Del Din S Sensors (Basel). 2023; 23(10).

PMID: 37430796 PMC: 10222486. DOI: 10.3390/s23104881.


The effect of bright light therapy in migraine patients with sleep disturbance: A prospective, observational cohort study protocol.

Lin T, Yang C, Lee S, Chang C, Tsai I, Wei C Front Aging Neurosci. 2023; 14:1041076.

PMID: 36742203 PMC: 9892937. DOI: 10.3389/fnagi.2022.1041076.


References
1.
Aharon-Peretz J, Masiah A, Pillar T, Epstein R, Tzischinsky O, Lavie P . Sleep-wake cycles in multi-infarct dementia and dementia of the Alzheimer type. Neurology. 1991; 41(10):1616-9. DOI: 10.1212/wnl.41.10.1616. View

2.
Vitiello M, Bliwise D, Prinz P . Sleep in Alzheimer's disease and the sundown syndrome. Neurology. 1992; 42(7 Suppl 6):83-93; discussion 93-4. View

3.
Cole R, Kripke D, GRUEN W, Mullaney D, Gillin J . Automatic sleep/wake identification from wrist activity. Sleep. 1992; 15(5):461-9. DOI: 10.1093/sleep/15.5.461. View

4.
Bliwise D . Sleep in normal aging and dementia. Sleep. 1993; 16(1):40-81. DOI: 10.1093/sleep/16.1.40. View

5.
Sadeh A, Hauri P, Kripke D, Lavie P . The role of actigraphy in the evaluation of sleep disorders. Sleep. 1995; 18(4):288-302. DOI: 10.1093/sleep/18.4.288. View