Introduction: Assessing quality of life and its related factors in hemodialysis patients is necessary to promote their quality of life. Objective: This study aimed to determine predictive personal factors of quality of life among hemodialysis patients referring to hemodialysis centers affiliated to Guilan University of Medical Sciences. Methods: This analytic cross-sectional study was conducted on 241 hemodialysis patients referring to 12 Guilan dialysis centers chosen by randomized-stratified

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... ethod from adult patients with inclusion criteria. Data was gathered by a researcher-made questionnaire on personal factors and Kidney Disease Quality of Life Short Form with 3 domains of physical, mental and specified kidney disease. The relationship between personal factors and three domains of uality of life were analyzed using descriptive (distributions, mean and SD) and analytic statistics (Smirnov Kolmogorov for normal distribution of data, t-student, ANOVA and Linear regression). Results: The least mean and SD was in job status subscale (19.1±2.9) and physical domain of quality of life (46.99±1.94) in comparison to two other domains. Patients quality of life score was 54.00±13.33. There was a significant relationship between lower quality of life scores and female gender (p=0.0001), older age (p=0.002), lower education (p=0.0001), unemployment (P=0.0001), without family responsibility (p=0.003), suburban residential place (p=0.043), and without history of kidney transplantation (p=0.038). Conclusion: Female gender and unemployment were predictors of poor quality of life. Associations of poor health related quality of life with controllable factors such as job, highlights necessitation of greater focus on social support and medical and nursing interventions in these patients.