Significant positive correlations were found between work stress and (r = 0.42, p < 0.001).
Work stress is negatively associated with physical and mental health (r = -0.23, p < 0.001).
Occupational burnout significantly predicts poorer physical and mental health (β = -0.533, p < 0.001).
Higher levels of correlate with better health outcomes (r = 0.18, p < 0.01).
The moderating effect of social support on the relationship between stress and health was not significant.
Simplified
BACKGROUND: The mental health of mental health care professionals has become a key area of research due to the increasing demands and stressors inherent in the work environment. This study explored the relationship between night shift work stress, burnout, , and physical and mental health among psychiatric medical staff.
METHODS: A cross-sectional survey was conducted among 244 psychiatric medical staff at a psychiatric specialty hospital in eastern Taiwan. The study utilized validated instruments, including the Effort-Reward Imbalance Questionnaire, the Maslach Burnout Inventory, the Social Support Scale, and the SF-12 Health Survey, to measure work stress, burnout, social support, and health outcomes. Descriptive statistics, Pearson correlation, and hierarchical regression analyses were employed to assess the relationships among these variables and the moderating effects of social support.
RESULTS: The findings revealed significant positive correlations between work stress and (r = 0.42, p < 0.001) and negative correlations with physical and mental health (r = - 0.23, p < 0.001). Occupational burnout is a negative significant predictor of physical and mental health (β = -0.533, p < 0.001). Additionally, higher levels of social support were associated with better health outcomes (r = 0.18, p < 0.01), although its moderating effect on the relationship between stress and health was not significant.
CONCLUSION: This study highlights the significant impact of night shifts on the physical and mental health of psychiatric medical staff. The findings suggest that interventions to reduce the negative impacts of night shifts are crucial, such as improving shift systems, increasing organizational support, and providing targeted mental health programs. These measures will help enhance night shift workers' health and job satisfaction, improving the overall quality of health care services.
Key numbers
-0.533
Burnout Impact on Health
Standardized coefficient from regression analysis
0.42
Work Stress Correlation with Burnout
Pearson correlation coefficient
0.18
Correlation with Health
Pearson correlation coefficient
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Declarations. Ethics approval and consent to participate: The study adhered to the ethical guidelines presented in the Declaration of Helsinki and obtained approval from the Research Ethics Committee of the Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation (vote number No. IRB111-158-B). Written informed consent was obtained from individual participants. Consent for publication: Not Applicable. Competing interests: The authors declare no competing interests. Clinical trial number: Not Applicable.
