J Korean Geriatr Psychiatry.  2011 Jun;15(1):3-6.

Clinical Characteristics Associated with Quality of Sleep in Old Stroke Patients : Preliminary Study

Affiliations
  • 1Department of Psychiatry, School of Medicine, Gyeongsang National University, Jinju, Korea.
  • 2Department of Rehabilitation Medicine, School of Medicine, Gyeongsang National University, Jinju, Korea. psy@gnu.ac.kr
  • 3Department of Neuropsychiatry, College of Medicine, Seoul National University, Seoul, Korea.

Abstract


OBJECTIVES
Although sleep problem is a common complaint in stroke survivors, there is paucity of studies on quality of sleep in old patients with stroke. The purpose of this study was to investigate the clinical characteristics associated with quality of sleep in old patients with stroke.
METHODS
A comprehensive clinical and psychiatric assessments was performed in 30 patients who were admitted in rehabilitation department. Quality of sleep was evaluated with the Pittsburgh sleep quality index (PSQI). Other rating scales such as Modified Barthel Index, Korean mini mental state examination, Hamilton rating scale for anxiety, and Hamilton rating scale for depression were also performed to evaluate the clinical characteristics.
RESULTS
Thirteen patients (43%) were 'poor sleeper' defined as a global PSQI score >5. In the partial correlation test, poor sleeper group were significantly associated with anxiety (r=0.69, p<0.01) and depression (r=0.76, p<0.01). In the multivariate logistic regression analysis, depression symptoms (OR=1.51, p=0.01) were only significant predictor of 'poor sleep' compared with other factors including age, sex, stroke type, stoke location, stroke site, past medical history, anxiety, and cognitive function.
CONCLUSION
The results may suggest that it is important to assess depression when old patients with stroke show decreased quality of sleep. Further following studies will be needed for finding relation with other clinical factors.

Keyword

Sleep; Depression; Stroke; Aged

MeSH Terms

Aged
Anxiety
Depression
Humans
Logistic Models
Stroke
Survivors
Weights and Measures
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