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Gela YY, Limenh LW, Simegn W, Ayenew W, Chanie GS, Seid AM, Beyna AT, Esubalew D, Mitku ML, Mengesha AK, Melese M. Poor sleep quality and associated factors among adult chronic kidney disease patients. Front Med (Lausanne) 2024; 11:1366010. [PMID: 38751978 PMCID: PMC11094326 DOI: 10.3389/fmed.2024.1366010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 04/11/2024] [Indexed: 05/18/2024] Open
Abstract
Background Poor sleep quality is a common concern in chronic kidney disease (CKD) patients, which can accelerate the progression of chronic renal disease and negatively impact their health-related quality of life, potentially leading to greater morbidity and mortality rates. It can also have an effect on the immune system, cognitive function, and emotional well-being of CKD patients. Furthermore, poor sleep quality may contribute to drug noncompliance and decreased participation in the entire treatment plan. Nonetheless, no research has been undertaken in Ethiopia on the prevalence of poor sleep quality and its associated factors among CKD patients. Objective This study aimed to assess the prevalence of poor quality of sleep and associated factors among chronic kidney disease patients at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals in 2020. Methods A cross-sectional study design was implemented at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals between February and April 2020. The study participants were chosen through systematic random sampling techniques. The Pittsburgh Sleep Quality Index (PSQI), a validated assessment tool, was utilized to measure sleep quality. A PSQI total score > 5 was used as an indicator of poor sleep quality. Subsequently, the data obtained were entered into Epi Data version 3.0 and then transferred to STATA 14 for analysis. Both bivariable and multivariable binary logistic regression analyses were performed to recognize factors associated with poor sleep quality. In the multivariable logistic regression analysis, variables demonstrating a p-value of ≤0.05 were considered statistically associated to poor sleep quality. Results In this study, 424 CKD patients were included. Among screened CKD patients, 42.9% tested positive for poor sleep quality with a 95% CI (38 to 47%). Independent predictors of poor sleep quality among CKD patients were common mental disorder [AOR = 1.8, 95% CI (1.19-2.89)], anemia [AOR = 2.7, 95% CI (1.71-4.36)], declined eGFR between 60 and 89.9 [AOR = 1.6; 95% CI (2.28-5.54)], 30-59.9 [AOR = 2.6, 95% CI (1.53-4.43)], and ≤ 30 [AOR = 3.8, 95% CI (1.17-12.61)], age > 50 years [AOR = 1.7(1.11-2.69)] and duration of disease 2.9 [AOR = 2.9, 95% CI (1.77-4.90)]. Conclusion In our study, almost 1 out of 2 CKD patients assessed for poor sleep quality tested positive. It was noted that poor sleep quality was more frequent among CKD patients with common mental disorders, anemia, decreased eGFR levels, individuals aged over 50 years, and those with a longer duration of the disease. Consequently, it's advised to regularly screen these CKD patients for poor sleep quality.
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Affiliation(s)
- Yibeltal Yismaw Gela
- Department of Physiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Liknaw Workie Limenh
- Department of Pharmaceutics, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Wudneh Simegn
- Department of Social and Administrative Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Wondim Ayenew
- Department of Social and Administrative Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Gashaw Sisay Chanie
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Abdulwase Mohammed Seid
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Alemante Tafese Beyna
- Department of Pharmacology, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Dereje Esubalew
- Department of Human Physiology, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia
| | - Melese Legesse Mitku
- Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Assefa Kebad Mengesha
- Department of Pharmacology, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mihret Melese
- Department of Physiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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Alshammari B, Alkubati SA, Pasay-an E, Alrasheeday A, Madkhali N, Edison JS, Bakthavatchaalam V, Alshammari MS, AlRashidi AA, Alshammari F. The influence of social support on sleep and fatigue level among patients receiving hemodialysis in Saudi Arabia: a cross-sectional correlational design. Front Psychol 2023; 14:1272500. [PMID: 38148785 PMCID: PMC10749965 DOI: 10.3389/fpsyg.2023.1272500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 11/27/2023] [Indexed: 12/28/2023] Open
Abstract
Background Patients on hemodialysis (HD) are more likely to experience sleep problems and fatigue that may affect their health outcomes. Management of these patients with social support may improve their sleep quality and fatigue as well as their health. Aim This study aimed to assess the influence of social support on sleep quality and fatigue levels among HD patients. Methods A cross-correlational study was conducted among 260 conveniently sampled HD patients from four dialysis centers in Hail and Al-Qassim cities of Saudi Arabia from Jun 2022 to January 2023. Besides sociodemographic data, the Pittsburgh Sleep Quality Index (PSQI), the Multidimensional Assessment of Fatigue (MAF) and the Oslo Social Support Scale (OSSS-3) were used to assess sleep quality, fatigue levels and social support, respectively. Chi-square test was used to determine the association between categorical variables, while Pearson's correlation coefficient was used to test the correlation between sleep quality, fatigue, and social support. Results Poor sleep and high fatigue were significantly higher in older patients compared to younger patients (p <0.001), while strong social support was significantly lower in older patients than younger and middle-aged ones (p = 0.001). On the other hand, poor sleep and high fatigue were significantly higher in males than females (p = 0.022 and p <0.001, respectively), while strong social support was significantly higher in females than males (p <0.001). Married patients showed significantly poorer sleep than single ones (p = 0.019), but single patients received significantly stronger social support. Retired patients showed significantly poorer sleep, higher fatigue and weaker social support than other groups (p <0.001). There was a significant negative correlation between fatigue and sleep quality among HD patients, where patients with more fatigue had poorer sleep (r = -0.510, p <0.001). A significant positive correlation was found between social support and sleep quality, where patients with stronger social support had more normal sleep (r = 0.415, p <0.001). However, a significant negative correlation was found between social support and fatigue, where patients with stronger social support had lower levels of fatigue (r = -0.479, p <0.001). Conclusion Saudi patients on HD who have stronger social support have better sleep quality and reduced fatigue levels than those with less social support. There is a need to design and implement intervention studies with structured social support programs, and to evaluate their effectiveness on improving sleep and reducing fatigue among HD patients.
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Affiliation(s)
- Bushra Alshammari
- Department of Medical Surgical Nursing, College of Nursing, University of Hail, Hail, Saudi Arabia
| | - Sameer A. Alkubati
- Department of Medical Surgical Nursing, College of Nursing, University of Hail, Hail, Saudi Arabia
- Department of Nursing, Faculty of Medicine and Health Sciences, Hodeida University, Hodeida, Yemen
| | - Eddieson Pasay-an
- Department of Medical Surgical Nursing, College of Nursing, University of Hail, Hail, Saudi Arabia
| | - Awatif Alrasheeday
- Department of Nursing Administration, College of Nursing, University of Hail, Hail, Saudi Arabia
| | - Norah Madkhali
- Department of Nursing, College of Nursing, Jazan University, Jazan, Saudi Arabia
| | - J. Silvia Edison
- Department of Medical Surgical Nursing, College of Nursing, University of Hail, Hail, Saudi Arabia
| | | | - Marim Saud Alshammari
- Department of Health Awareness, King Salman Specialist Hospital, Hail Health Cluster, Hail, Saudi Arabia
| | - Amnah Ayed AlRashidi
- Department of Obstetrics and Gynecology, Hail General Hospital, Hail Health Cluster, Hail, Saudi Arabia
| | - Farhan Alshammari
- Department of Pharmaceutics, College of Pharmacy, University of Hail, Hail, Saudi Arabia
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