Document Type : Original Article
School Of Public Health &amp; Safety Shahid Beheshti University Of Medical Sciences Tehran - Iran
MPH Student, Environmental and Occupational Hazards Control Research Center, School of Public Health and safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Professor of Health Education & Health Promotion, Environmental and Occupational Hazards Control Research Center, School of Public Health and safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Introduction: Nursing is one of the most stressful professions worldwide. Job stressors can have a substantial impact on the mental health of nurses. This study aimed to assess how much workplace stressors can predict each component of this population's mmental health
Methods: 419 nurses from eight tertiary hospitals in Tehran were enrolled for this observational survey, and data was collected from a three-part questionnaire including the Depression, Anxiety, and Stress Scale - 21 Items (DASS-21, Extended Nursing Stress Scale (ENSS), and demographic questions. Multivariate regression and factor analysis were performed to build a Structural equation modeling between variables
Results: The Correlation between Stress, anxiety, depression, and work stressor were significant (p-value=0.01). Based on the SEM model, for each component of DASS (Stress, anxiety, depression), seven items in the questionnaire were significant and internally consistent(p-value:0.05). In the ENSS questionnaire, all nine subscales significantly predicted the total nursing stress score.
Conclusions: Females, single, and nurses with more than six years of experience scored higher on the work stress scale. The workload is the most significant stressor in depression and, as a result, poor mental health.