This study aims to investigate the role of demographic characteristics, attachment style, and emotional nature in predicting psychological distress during the COVID- 19 period. The research design was des criptive and correlational. The statistical population included all citizens of Gonbad Kavus, of which 370 people responded to the research tools by available sampling method. The questionnnaires were the psychological distress, adult attachment style, affective temperament, and demographic characteristics questionnaires. Finally, the data were analyzed using SPSS-24 software. Data were analyzed using the statistical method of chi squared test, Wald test, odds ratio, and logistic regression. Data analysis showed that in the group with moderate to severe psychological distress compared to no distress, the level of education (OR: 1.12) and marital status (OR: 0.87), anxious mood (OR: 1.58) and also need for approval (OR: 1.08) were risk factors for psychological distress, while the gender (OR: 0.85), economic status (OR: 1.03), self-esteem (OR: 0.98), and discomfort with closeness(OR: 0.92) were protective. Similarly, in the group with moderate to severe psychological distress compared to the group with mild distress, cyclothymic (OR: 1.17) and depressive (OR: 1.32) were risk factors and gender (OR: 1.15), economic status (OR:0.23), were protective. Psychologists and decision makers should pay attention to this issue.