Tehran University of Medical Sciences Journal of Sleep Sciences 2476-2938 6 3-4 2022 10 16 74 78 Amir Mahdi Katani Department of Clinical Psychology, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran Mohammad Javad Lavaf Arani Department of Clinical Psychology, Faculty of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran Mehdi Derakhshani Department of Clinical Psychology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran Maryam Bakhtiari Department of Clinical Psychology, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran 2022 01 07 2022 05 07 Background and Objective: Psychological problems including sleeping problems, anxiety, and job burnout are more prevalent among the treatment staff of the patients who suffer from coronavirus disease 2019 (COVID-19) rather than other treatment staff. Therefore, the current study aimed to predict the quality of sleep based on job burnout and the anxiety of being infected by the disease among this staff. Materials and Methods: The current study was a cross-sectional research in which 215 participants from the treatment staff filled out the relevant questionnaires online. The sampling was performed by available method and the instruments included Pittsburgh Sleep Quality Index (PSQI), Corona Disease Anxiety Scale (CDAS), and Maslach Burnout Invento-ry (MBI). Finally, the data were analyzed in two sections of descriptive and inferential statistics using SPSS software. Results: A correlation among all variables was observed. Moreover, the total model was significant (adjusted r² = 0.37, P = 0.01) and COVID-19 anxiety (standardized beta = 0.33, P = 0.01) and emotional exhaustion (standardized beta = 0.40, P = 0.01) predicted the sleep quality more than variables of depersonalization (standardized beta = -0.22, P = 0.01) and feeling of success (standardized beta = -0.12, P = 0.06). Conclusion: COVID-19 anxiety and job burnout are good predictors for sleep problems in the treatment staff of the patients who suffer from COVID-19. https://jss.tums.ac.ir/index.php/jss/article/view/224