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Sleep/Wake Cycle Disturbance in Alzheimer's Disease: How Much Is Due to an Inherent Trait?

Published online by Cambridge University Press:  10 January 2005

Jerome A. Yesavage
Affiliation:
Department of Veterans Affairs Health Care System Palo Alto, California, US Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, US
Joy L. Taylor
Affiliation:
Department of Veterans Affairs Health Care System Palo Alto, California, US Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, US
Helena Kraemer
Affiliation:
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, US
Art Noda
Affiliation:
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, US
Leah Friedman
Affiliation:
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, US
Jared R. Tinklenberg
Affiliation:
Department of Veterans Affairs Health Care System Palo Alto, California, US Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, US
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Abstract

Major advances in understanding the physiology and genetics of circadian rhythm in the past decade challenge the researcher of sleep/wake disorders in Alzheimer's disease (AD) to distinguish patient characteristics stable across the course of illness (“traits”) from characteristics that vary with stage of illness (“states”). A components-of-variance approach with a repeated measures model was used to examine the between-subjects variance over time (“trait”) vs. within-subjects (“state”) variance in 42 patients with probable AD followed, on average, over 2 years on actigraphic sleep/wake measures. Mental status scores indexed stage of illness. Actigraphic measures of sleep efficiency and circadian rhythmicity appeared predominantly “trait,” with between-individual differences accounting for over 55% of variance compared to the less than 5% of variance related to stage of cognitive impairment. We discuss how “state-trait” analyses can be helpful in identifying areas of assessment most likely to be fruitful objectives of physiologic and genetic research on sleep/wake disturbance in AD.

Type
Articles
Copyright
© 2002 International Psychogeriatric Association

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