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

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Rakhshanderou Sakineh; Ilkhani Saba; Ghaffari Mohtasham; Hatami Hossein

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Journal Paper

Paper Information

Journal: CANON JOURNAL OF MEDICINE Year:2023 | Volume:4 | Issue:2 Page(s): 40-45

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Title

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

Author(s)

Rakhshanderou Sakineh | Ilkhani Saba | Ghaffari Mohtasham | Hatami Hossein | Issue Writer Certificate

Keywords

Occupational stressorsQ4

mental healthQ4

NursesQ4

Structural equation modelingQ4

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.

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