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      Poor Sleep Is Associated With Impaired Cognitive Function in Older Women: The Study of Osteoporotic Fractures

      , , , , , , , , for the Study of Osteoporotic Fractures Group
      The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
      Oxford University Press (OUP)

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          Abstract

          The association between objectively measured sleep and cognition among community-dwelling elderly persons remains understudied. This observational, cross-sectional analysis examined this association. Results are from 2932 women (mean age 83.5 years) in the Study of Osteoporotic Fractures between 2002 and 2004. Cognitive function was measured by Mini-Mental State Examination (MMSE) and Trail Making B Test (Trails B). Cognitive impairment was defined as MMSE < 26 or Trails B > 278 seconds. Sleep parameters measured objectively using actigraphy included total sleep time, sleep efficiency, sleep latency, wake after sleep onset (WASO), and total nap time. There were 305 women (10.6%) with MMSE < 26 and 257 women (9.3%) with Trails B > 278 seconds. Compared with women with sleep efficiency > or = 70%, those with <70% had a higher risk of cognitive impairment (MMSE < 26 multivariate odds ratio [MOR] = 1.61; 95% confidence interval [CI], 1.20-2.16; Trails B > 278 MOR = 1.96; 95% CI, 1.43-2.67). Higher sleep latency was associated with higher risk of cognitive impairment (per half hour: MMSE < 26 MOR = 1.23; 95% CI, 1.13-1.33; Trails B > 278 MOR = 1.13; 95% CI, 1.04-1.24), as was higher WASO (per half hour: MMSE < 26 MOR = 1.15; 95% CI, 1.06-1.23; Trails B > 278 MOR = 1.24; 95% CI, 1.15-1.34). Women who napped > or = 2 hours per day had a higher risk (MMSE < 26 MOR = 1.42; 95% CI, 1.05-1.93; Trails B > 278 MOR = 1.74; 95% CI, 1.26-2.40). There was no significant relationship for total sleep time. Objectively measured disturbed sleep was consistently related to poorer cognition, whereas total sleep time was not. This finding may suggest that it is disturbance of sleep rather than quantity that affects cognition.

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          Most cited references31

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          The operated Markov´s chains in economy (discrete chains of Markov with the income)

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            Automatic sleep/wake identification from wrist activity.

            The purpose of this study was to develop and validate automatic scoring methods to distinguish sleep from wakefulness based on wrist activity. Forty-one subjects (18 normals and 23 with sleep or psychiatric disorders) wore a wrist actigraph during overnight polysomnography. In a randomly selected subsample of 20 subjects, candidate sleep/wake prediction algorithms were iteratively optimized against standard sleep/wake scores. The optimal algorithms obtained for various data collection epoch lengths were then prospectively tested on the remaining 21 subjects. The final algorithms correctly distinguished sleep from wakefulness approximately 88% of the time. Actigraphic sleep percentage and sleep latency estimates correlated 0.82 and 0.90, respectively, with corresponding parameters scored from the polysomnogram (p < 0.0001). Automatic scoring of wrist activity provides valuable information about sleep and wakefulness that could be useful in both clinical and research applications.
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              Sleep complaints among elderly persons: an epidemiologic study of three communities.

              The frequencies of five common sleep complaints--trouble falling asleep, waking up, awaking too early, needing to nap and not feeling rested--were assessed in over 9,000 participants aged 65 years and older in the National Institute on Aging's multicentered study entitled "Established Populations for Epidemiologic Studies of the Elderly" (EPESE). Less than 20% of the participants in each community rarely or never had any complaints, whereas over half reported at least one of these complaints as occurring most of the time. Between 23% and 34% had symptoms of insomnia, and between 7% and 15% percent rarely or never felt rested after waking up in the morning. In multivariate analyses, sleep complaints were associated with an increasing number of respiratory symptoms, physical disabilities, nonprescription medications, depressive symptoms and poorer self-perceived health. Sleep disturbances, particularly among older persons, oftentimes may be secondary to coexisting diseases. Determining the prevalence of specific sleep disorders, independent of health status, will require the development of more sophisticated and objective measures of sleep disturbances.
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                Author and article information

                Journal
                The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
                The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
                Oxford University Press (OUP)
                1079-5006
                1758-535X
                April 01 2006
                April 01 2006
                : 61
                : 4
                : 405-410
                Article
                10.1093/gerona/61.4.405
                16611709
                261a39c5-365e-46a4-af9b-eeeb2843a516
                © 2006
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