Work stressors and Mental health among nurses – A Structural Equation Modeling (SEM)

Document Type : Original Article

Authors

1 School Of Public Health & Safety Shahid Beheshti University Of Medical Sciences Tehran - Iran

2 MPH Student, Environmental and Occupational Hazards Control Research Center, School of Public Health and safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran

3 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

4 School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Abstract

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.

Keywords

Main Subjects

References

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Canon Journal of Medicine
Volume 4, Issue 2
June 2023
Pages 31-36

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History

  • Receive Date: 11 December 2022
  • Accept Date: 12 December 2022

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