loneliness based on personality traits and cognitive emotion regulation with the mediating role of coronavirus anxiety

Background: loneliness is an emotional state, in which a person experiences a very strong feeling of intimacy and isolation, and in the period of coronavirus outbreak, most people feel lonely; thus, it is important to identify the factors that affect the feeling of loneliness in this period. this study was conducted with the aim to develop a model of loneliness based on personality traits and cognitive emotion regulation with the mediating role of coronavirus anxiety.methods: the present study was a descriptive-correlational study and the statistical population included all citizens of qom province, iran, in 2020. thus, 400 people were selected through case-sampling as a research sample and were asked to complete the ucla loneliness scale, neo five-factor inventory (neo-ffi), cognitive emotion regulation ‎questionnaire (cerq)‎, and corona disease anxiety scale (cdas). data were analyzed using pearson correlation and regression methods. moreover, path analysis was used due to the existence of a mediating variable.results: personality traits, cognitive emotion regulation, and anxiety associated with australia-virus account for 40% of the variance in feelings of loneliness.conclusion: these results suggest that patients with viral diseases are mediated in terms of personality traits, cognitive regulation, and loneliness.