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Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

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Published on: August 2, 2017

Sleep-Wake Patterns during the Acute Phase after First-Ever Stroke.

Linda N Bakken¹, Kathryn A Lee, Hesook Suzie Kim

¹Department of Health Sciences, Buskerud University College, P.O. Box 7053, 3007 Drammen, Norway.

Stroke Research and Treatment

|July 22, 2011

Summary

Sleep patterns in stroke patients show significant variability, with many experiencing fragmented sleep. Factors like gender, hospital environment, and sleep duration impact sleep quality post-stroke.

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Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

Published on: March 15, 2024

Area of Science:

Neurology
Sleep Medicine
Clinical Research

Background:

Sleep disturbances are common in patients following a first-ever stroke.
Understanding sleep patterns is crucial for patient recovery and well-being.

Purpose of the Study:

To characterize day and night sleep patterns in first-ever stroke patients.
To investigate associations between sleep patterns and sociodemographic, clinical, and environmental factors.
To explore the relationship between objective sleep data and subjective sleep quality.

Main Methods:

Utilized structured interviews, medical records, and wrist actigraphy for objective sleep data collection.
Included 110 patients diagnosed with a first-ever stroke.
Analyzed sleep duration, awakenings, daytime sleep, and sleep quality metrics.

Main Results:

High variability in estimated sleep duration, with 50% sleeping <6 or >8 hours nightly.
78% of patients experienced over nine awakenings per night.
Men slept less than women; hospital sleep involved more awakenings than home sleep.
Daytime sleep was prevalent; longer hospital stays correlated with increased daytime sleep.
Subjective sleep quality was linked to objective measures like sleep time and wake percentage.

Conclusions:

Stroke patients exhibit disrupted sleep patterns, characterized by short/long sleep durations and frequent awakenings.
Sociodemographic factors (gender) and environmental context (hospital vs. home) significantly influence sleep.
Objective sleep parameters are associated with patients' perceived sleep quality, highlighting the need for sleep assessment and intervention in stroke care.