Evaluation of the hemodialysis patient with Pittsburgh sleep quality index

Colbay M., Yuksel S., Fidan F., Acarturk G., Karaman Ö., Unlu M.

TUBERKULOZ VE TORAK-TUBERCULOSIS AND THORAX, vol.55, no.2, pp.167-173, 2007 (ESCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 55 Issue: 2
  • Publication Date: 2007
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.167-173
  • Keywords: Hemodialysis, Pittsburgh sleep quality index, sleep quality
  • Bezmialem Vakıf University Affiliated: No


Sleep disturbances such as sleep-onset insomnia, frequent awakening, sleep-maintenance insomnia, and restless legs syndrome are extremely common in hemodialysis patient. Those additional problems to their chronic disease appear to have significant negative effects on quality of life and functional health status. This study was intended to evaluate the sleep quality and to identify of hemodialysis patients. Ninety-four patients on hemodialysis (45 females, 49 males) were admitted into this study. "Pittsburgh Sleep Quality Index" was administered to all patients to evaluate their sleep quality. Their mean age and duration of hemodialysis was 49.7 +/- 16.5 years and 31.5 (3-192) month. Sleep quality was determined as poorer (global score >= 5) in 65 (69.1%) people. Older people and female incidence were significantly higher in patients with poorer sleep quality (p=0.044 and p=0.009 respectively). There was no significant difference in other parameter. Sleep quality and related parameters compared. There was not strong but significant relation between poor sleep quality with age, female gender, and hemoglobin (rs=0.284 p=0.006, rs=0.301 p=0.003 and rs=-0.216 p=0.037 respectively). Logistic regression analyses showed independent effects of female gender on poor sleep quality. In conclusion, sleep quality had been impaired in patients with chronic hemodialysis, especially in women. Therefore, evaluation of the sleep quality of hemodialysis patients during clinical practice must be taken into consideration. Being able to find out the related factors with sleep disorders, advanced study supported with polysomnography must be done.