Purpose : This study was done to identify effects of quality of sleep and mood state on fatigue among patient with primary brain tumor. Methods: The study was correlational research and participants were 118 patient with primary brain tumor. The data were collected from May, 2015 to march, 2016. Quality of sleep was measured with the Pittsburgh Sleep Quality Index(PSQI), mood state, with the Linear Analogue Self-Assessment (LASA) scales, and fatigue with the Fatigue Scale for Cancer Patients developed by Kim kyeong-hee(2006). Data were analyzed using descriptive statistics, t-test, ANOVA, Scheffe? test, and hierarchical multiple regression with the IBM SPSS 22 program. Results: The mean age of the participants was 53.45±14.85 years. The mean score for quality of sleep was 8.18±3.86, mood state 224.79±85.43, fatigue 72.14±19.64. Bivariate analyses indicated that fatigue was associated with age, marital status, education, occupation, monthly income, major caregiver, tumor biological characteristics, disease status, treatment and perfomance status. Also, fatigue was correlated with quality of sleep (r=.552, p<.001) and mood state (r=.746, p<.001). Mood state was significantly related to quality of sleep (r=.608, p<.001). Age, perfomance status, and mood state explained 70.6% of fatigue. Mood state (β=.455 p<.001) was the best predictor of fatigue, followed by age (β=.206, p<.001), and perfomance status (β=-.164, p<.001). Conclusion: The research findings show that understanding of psychological factors such as anxiety, depression, confusion, energy and anger should be given priority for fatigue management in primary brain tumor patients. Based on this, it is used as basic data for managing fatigue of primary brain tumor patient, it is expected to be ultimately contribute to improve the health of patients with primary brain tumor.