Investigate the Role of Demographic Characteristics, Adult Attachment Styles, and Affective Temperament in Predicting Psychological Distress During the Coronavirus Period

Abstract

25/8/ 1400 Abstract 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 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.