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Psychological Health Risk Factors Among Healthcare Workers: A Structural Equation Modeling Approach
Zemiao Zhang1, Yanna Li2, Baoxiang Song1
1School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Healthcare (Basel, Switzerland)
|August 13, 2026
Summary
Healthcare workers
Area of Science:
- Occupational Health
- Psychological Medicine
- Public Health
Background:
- Healthcare worker psychological health is a global concern.
- Understanding risk factors is crucial for interventions.
- This study models psychological health risks in healthcare professionals.
Purpose of the Study:
- To develop a risk factor model for healthcare worker psychological health.
- To analyze associations between risk factors and psychological outcomes.
- To utilize structural equation modeling (SEM) for comprehensive analysis.
Main Methods:
- Cross-sectional survey of 930 healthcare professionals.
- Structural Equation Modeling (SEM) to test hypotheses.
- Bootstrapping and MIMIC models for validation.
Main Results:
- Social environment and job demands pose greater risks than negative events or adjustment issues.
- The model explains 62.2% of psychological health variance.
- Distal factors (social/organizational) have indirect effects; proximal factors (job demands/resources, events) act via psychological adjustment.
Conclusions:
- A multilevel risk factor model for healthcare worker psychological health was established.
- Interventions should address social environment, job demands, and psychological adjustment.
- Recommendations include legal protections, staffing adjustments, and resilience training.
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