https://doi.org/10.18869/acadpub.jnms.2.4.43

Evaluation of subjective sleep quality in hemodialysis patients and its association with hemodialysis timing

authors:

avatar Masomeh Norozi Firoz 1 , avatar Vida Shafipour ORCID 2 , * , avatar Hedayat Jafari ORCID 2 , avatar Seyed Hamzeh Hosseini ORCID 3 , avatar Jamshid Yazdani Charati ORCID 4

Student's Research Committee, Mazandaran University of Medical Sciences, Sari, Iran & School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran
Department of Medical-Surgical Nursing, Nasibeh Nursing & Midwifery Faculty, Mazandaran University of Medical Sciences, Sari, Iran
Psychiatry and Behavioral Sciences Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran
Department of Biostatistics, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran
Journal of Nursing and Midwifery Sciences: Vol.2, issue 4; 43-50
published online: January 24, 2016
article type: Research Article
received: May 07, 2015
accepted: October 26, 2015

How To Cite Norozi Firoz M, Shafipour V, Jafari H, Hosseini S H, Yazdani Charati J. Evaluation of subjective sleep quality in hemodialysis patients and its association with hemodialysis timing. J Nurs Midwifery Sci. 2015;2(4):e141277. https://doi.org/10.18869/acadpub.jnms.2.4.43.

Abstract

Background and Purpose: Sleep disorders are a common problem in patients undergoing hemodialysis. Poor sleep quality is
considered as a potential predictor for mortality and reduced quality of life in these patients. This study aimed to evaluate subjective
sleep quality in hemodialysis patients and its association with hemodialysis timing.
Methods: This descriptive-correlational study was conducted on 125 patients undergoing hemodialysis in eight teaching hospitals
affiliated to Mazandaran University of Medical Sciences, Iran in 2015. Dialysis patients were selected from all the timings. Subjective
sleep quality was measured using Pittsburgh Sleep Quality Index (PSQI). In addition, participants completed Beck Depression Inventory
(BDI). Data analysis was performed by using Chi-square test, ANOVA and logistic regression model.
Results: In total, 210 patients were enrolled in this study, and 79 patients (63.2%) had poor sleep quality. Moreover, no significant
association was found between subjective
Sleep quality and hemodialysis timing. However, age (β=0.017, confidence interval [CI]: 0.003-0.034, P=0.034), unemployment
(β=0.695, CI: 0.0458-2.7702, P=0.043) and residence in rural areas (β=0.435, CI: 0.072-1.777, P=0.033) were identified as significant
predictors for poor sleep quality.
Conclusion: According to the results of this study, poor sleep quality had no significant correlation with hemodialysis timing. Since
subjective sleep quality is a common problem in hemodialysis patients, nursing care plans should be implemented to improve this
parameter and quality of life in these patients.

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