1. Factors influencing fatigue among patients undergoing hemodialysis: a multi-center cross-sectional study.
- Author
-
Alshammari B, Alkubati SA, Alrasheeday A, Pasay-An E, Edison JS, Madkhali N, Al-Sadi AK, Altamimi MS, Alshammari SO, Alshammari AA, and Alshammari F
- Subjects
- Humans, Cross-Sectional Studies, Exercise, Fatigue epidemiology, Fatigue etiology, Quality of Life, Renal Dialysis adverse effects
- Abstract
Fatigue has been reported to be the most common symptom experienced by patients receiving hemodialysis (HD) therapy. Fatigue can lead to a reduction in their ability to engage in both routine and self-care activities, which can negatively affect their self-confidence and quality of life. This study aimed to determine the level of fatigue and the factors that affecting its level among patients receiving uHD., Methods: A cross-sectional design was utilized to explore the level of fatigue among patients receiving maintenance HD using the Mul-tidimensional Assessment of Fatigue (MAF) scale. Data were collected from four dialysis centers in two Saudi Arabia cities, Hail and Al-Qassim, between January 2022 and October 2022., Results: The questionnaire was completed by 236 patients. Older patients, male patients, and retired pa-tients reported significantly higher levels of fatigue ( p < 0.001). In contrast, marital status, educational level, and financial status did not significantly affect the level of fatigue among patients ( p = 0.193, 0.285, and 0.126, respectively). Patients who had seven or more dependents reported more fatigue than those who had lower levels of fatigue or who did not have dependents ( p = 0.004). In addition, patients who had a regular exercise regimen reported significantly lower fatigue than those who did not have an exercise regimen ( p = 0.011). Multiple linear regression demonstrated that employment status (student), comorbidity condition (one chronic disease), dialysis duration, satisfaction with dialysis time, and dialysis time were found to affect the fatigue scores (R2 = 0.302, p ˂ 0.001)., Conclusion: The findings of this study gives a broader understanding of factors influencing fatigue among patients with HD that will help to develop strategies of more focused interventions to reduce fatigue among patients with HD.
- Published
- 2024
- Full Text
- View/download PDF