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Daily sleep patterns observed among institutionalized elderly residents.

Q R Regestein, J Morris

    Journal of the American Geriatrics Society
    |August 1, 1987
    PubMed
    Summary

    Institutionalized demented women exhibit distinct sleep/wake patterns, with individual sleep duration varying significantly. Daytime sleep positively correlated with nighttime sleep, indicating a consistent overall sleep tendency.

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    Area of Science:

    • Gerontology
    • Sleep Medicine
    • Neuroscience

    Background:

    • Sleep disturbances are common in institutionalized elderly individuals, particularly those with dementia.
    • Previous assumptions suggested reduced sleep in the elderly, especially with cognitive decline.

    Purpose of the Study:

    • To investigate the sleep/wake patterns of institutionalized women with dementia.
    • To determine the relationship between daytime and nighttime sleep in this population.
    • To assess the reliability of visual monitoring for sleep pattern analysis.

    Main Methods:

    • Hourly visual monitoring of sleep/wake patterns for 16 institutionalized demented women over 14 consecutive days.
    • Analysis of individual mean total sleep time, day sleep, and night sleep durations.

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  • Correlation analysis to assess relationships between sleep variables and inter-day consistency.
  • Main Results:

    • Significant individual variation in total sleep time (5.0 to 12.1 hours per 24 hours).
    • Positive correlation between amounts of day sleep and night sleep, suggesting a unified sleep tendency.
    • Consistent individual sleep patterns and high inter-day reliability were observed.
    • Daytime sleep did not reduce nighttime sleep in this cohort.

    Conclusions:

    • Institutionalized demented women display unique and consistent sleep/wake patterns, challenging assumptions of universally reduced sleep.
    • A general sleep tendency, manifesting across both day and night, appears to govern sleep behavior.
    • Hourly visual monitoring provides reliable data for characterizing sleep patterns in this population.