Corona Anxiety in Nurses: The Predictive Role of Perceived Social Support and Sense of Coherence

Objectives: Healthcare workers involved in the fight against corona are at high risk for depression and anxiety; therefore, the aim of this study was to predict coronary anxiety in nurses based on perceived social support and a sense of coherence. Methods: The research method was descriptive and correlational. The statistical population of the present study consisted of all nurses working in hospitals and clinics in Rasht, who were employed in 2020, and 200 people participated in the study online and through virtual networks. Data collection tools included Corona Anxiety Scale (Alipour et al., 2020), Multidimensional Scale of Perceived Social Support (Zimet et al., 1988) and Sense of Coherence Inventory-(SOC) 13 Scale (Antonovsky, 1987). Data analysis was performed using Pearson correlation test and simultaneous regression analysis using Spss23 software. Results: Corona anxiety in nurses had a negative and significant relationship with perceived social support (β= -0.581; p<0/03) and sense of coherence (β= -0.672; p<0/001). Perceived social support and a sense of coherence of 42% of variance predicted corona anxiety scores in nurses (p <0.01). Conclusion: Therefore, perceived social support and a sense of coherence play an important role in the coronary anxiety of nurses. Therefore, educating nurses in increasing the sense of cohesion to empower and implement understandable support programs for them is recommended.