| ORIGINAL ARTICLE |
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| Year : 2015 | Volume
: 2
| Issue : 4 | Page : 43-50 |
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Evaluation of subjective sleep quality in hemodialysis patients and its association with hemodialysis timing
Masomeh Norozi Firoz1, Vida Shafipour2, Hedayat Jafari2, Seyed Hamzeh Hosseini3, Jamshid Yazdani Charati4
1 Student's Research Committee, Mazandaran University of Medical Sciences, & School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran
2 Department of Medical-Surgical Nursing, Nasibeh Nursing & Midwifery Faculty, Mazandaran University of Medical Sciences, Sari, Iran
3 Psychiatry and Behavioral Sciences Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran
4 Department of Biostatistics, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran
Correspondence Address:
Vida Shafipour
Department of Medical-Surgical Nursing, Nasibeh Nursing & Midwifery Faculty, Mazandaran University of Medical Sciences, Sari
Iran
 Source of Support: None, Conflict of Interest: None  | 2 |
DOI: 10.18869/acadpub.jnms.2.4.43
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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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