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Predicting Burnout of Corona Nurses based on Perceived Stress Nediated by Personality Type

Document Type : Research Paper

Authors

1 Professor of Psychology, Payam Noor University, Tehran, Iran.

2 Ph.D. student in psychology, Payam Noor University, Tehran, Iran.

3 Assistant Professor of Psychology, Allameh Tabatabai University, Tehran, Iran.

Abstract

The aim of this study was to investigate the model of predicting job burnout in nurses of Corona ward based on perceived stress mediated by personality type in nurses serving in the medical wards of patients with Covid 19. The research method was descriptive and structural equation modeling. The statistical population of this study was all nurses working in Imam Khomeini, Sina, Shohada Yaftabad and Atieh hospitals in Tehran in 1399, from which 200 nurses were selected and completed the questionnaires online. The research instruments included Maslash Burnout Scale (1981), Cohen et al. (1983) Perceived Stress Questionnaire and Denolt-D (2000) Personality Type Scale. The results of data analysis showed that the fit indices of the nasal model are in a favorable condition. Perceived stress has a significant direct and indirect effect on burnout (p> 0.05). This means that with increasing perceived stress, the level of burnout increases. Personality type D (negative emotions and social inhibition) on the one hand is affected by perceived stress levels and on the other hand affects the burnout of nurses serving in the medical wards of patients with Covid 19. Therefore, applying perceived stress reduction strategies can reduce nurses 'burnout by promoting nurses' mental health.

Keywords

References
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Social Cognition
Volume 11, Issue 21 - Serial Number 21
May 2022
Pages 50-41
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