Abstract
The aim of this study was to explore how hemodialysis patients' quality of life is related to sociodemographic data and depression as predicting variables, and how it is affected by fatigue as a mediating variable. Participants were 405 patients who has been receiving hemodialysis treatment regularly. SPSS Amos path analysis was used to explore the causal relationship and the mediating effect of fatigue among the variables of sociodemographic characteristics, depression, and quality of life. Unstandardized estimates determined that while sociodemographic characteristics were a significant predictor of fatigue, they were not directly related to quality of life. The results showed that depression and fatigue in patients receiving hemodialysis are important factors that affect patients' quality of life to a greater (fatigue) or lesser (depression) extent. Depression can affect patients' quality of life either directly or indirectly via fatigue. In this study, we demonstrated that fatigue plays an important role in the relationships among sociodemographic characteristics, depression, and quality of life in patients receiving hemodialysis. The results of the study further suggest that comprehensive management programs should be applied with patients to reduce their fatigue, and ultimately to improve their quality of life.
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