Structural model for explaining Covid 19 disease anxiety based on perceived stress with the mediating role of perceived social support in students

The aim of this study was to evaluate the structural model of Covid 19 disease anxiety based on perceived stress with the mediating role of perceived social support in students. The research method was descriptive-correlational. The statistical population included all students of Islamic Azad University, Tehran Central Branch in the academic year 1399-400. The sample size was 322 people who were selected by cluster random sampling. Coronavirus Anxiety Scale (CDAS, Alipour et al., 1398), Perceived stress (PSS, Cohen et al., 1983), and Perceived social support (MSPSS, Zimet et al., 1998) were used to collect data. Data analysis was performed using structural equation modeling with the help of SPSS 27 and AMOS 24 statistical software. The results showed that the general model of the research fits with the experimental data. In addition, there is a positive and significant relationship between perceived stress and anxiety in Covid 19 disease (p = 0.001, β = 0.60). And there is a negative and significant relationship between perceived stress and perceived social support (p = 0.001, β = -0.72). But the mediating role of social support between perceived stress and disease anxiety was not confirmed (p <0.05). The results of this study showed that reducing perceived stress and having perceived social support play an effective role in reducing coronary heart disease anxiety.