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This descriptive correlational study was aimed at determining the relationship of hemodialysis shift with sleep quality and depression in 310 hemodialysis patients. Demographic and Clinical Questionnaires, the Pittsburgh sleep quality index, and Beck's Depression Inventory were used to ascertain the aforementioned relationship. Among the patients, 59.6% reported poor sleep quality and 44.8% reported experiencing depression. Results show that these conditions were significantly related to many factors. Although dialysis shift was not significantly related to sleep quality and depression, sleep quality was found significantly associated with age, female gender, illiteracy, unemployment, residence in rural areas, diabetes, addiction to sedatives, and phosphorus levels. A significant relationship was also found between depression and phosphorus levels. Logistic regression predicted age, gender, illiteracy, unemployment, residence in rural areas, and addiction to sedatives as factors for poor sleep quality. A body mass index (BMI) above 30, decreased urea, and increased phosphorus were predicted as factors for increased depression. [ABSTRACT FROM AUTHOR]

Background and Aim: Sleep is one of the most basic of the human needs that in addition to maintaining the physical and the mental health, causes stress reduction and helps in focussing on the daily activities. The aim of this study was to investigate sleep disorders and their related factors in patients with end stage renal disease, who were treated with haemodialysis. Methods: This was a descriptive-analytical study that was performed at the Kermanshah Emam Reza Hospital, Iran, during the year 2011. The research instruments which were used were a data recording sheet and a questionnaire. A sample of 148 patients was enrolled in the study by using a simple random sampling method. Descriptive and inferential statistical analysis were performed by using the Statistical Package for Social Sciences Program, version 16 (SPSS). Results: The prevalence of sleep disorders among these patients was 75%. The prevalence of the types of sleep disorders were RLS (29.7%), SAS (34%) and insomnia (70.3%) respectively and also the sleep disorders had significant correlations with age higher than 60 years (p= 0.04, r = 0.21), evening dialysis shift (p = 0.03, r = 0.16), lower than normal haemoglobin (p = 0.02, r = 0.17) and higher than normal blood pressure (p = 0.04, r = 0.19). Discussion and Concluding: The general prevalence of sleep disorders among the studied samples was high and insomnia had the highest prevalence. So, appropriate planning in the treatment of sleep disorders is essential in order to improve the quality of life of the patients. [ABSTRACT FROM AUTHOR]