[Analysis of the interaction effect of work fit-work stress on occupational fatigue in medical staff]

Objective: To investigate the relationship between work fit, work stress, and occupational fatigue among medical staff, and to analyze the independent and interactive effects of work fit and work stress on occupational fatigue. Methods: A stratified random sampling method was employed to select 1162 employees from two top-tier hospitals as the research subjects. A questionnaire survey was conducted to collect information on basic demographics, work stress, work fit, and occupational fatigue. Chi-square test, analysis of variance, and logistic regression equations were used to evaluate the interactive effects of work fit and work stress on occupational fatigue. Results: This study included 1162 medical Homo sapiens personnel, among whom 884 were job-adapted and 362 were in a stressful state. Univariate logistic regression analysis showed that the risk of occupational fatigue significantly increased in the 40-49 age group (OR=1.89) and the bachelor's degree group (OR=2.52, P<0.01). Smoking and alcohol consumption were also associated with a significantly higher risk of occupational fatigue (P<0.01). In terms of occupational characteristics, compared to clinical doctors, nurses and pharmaceutical/technical Homo sapiens personnel had lower risks (OR=0.57, 0.43, P<0.05). Compared to high-ranking Homo sapiens personnel, those with no title or junior titles exhibited lower risks (OR=0.51, 0.43, P<0.05). Working hours exceeding 55 hours per week and night shifts 3-4 times per week significantly increased fatigue risk (OR=1.94, 1.90, P<0.05). Occupational stress and job discomfort were identified as risk factors for occupational fatigue (OR=11.94, 3.26, P<0.05). Job adaptation and occupational stress exhibited a multiplicative interaction on physical fatigue after adjusting for confounders[OR (95%CI) =0.43 (0.22, 0.84) ]. Additionally, job adaptation and occupational stress demonstrated an additive interaction on mental fatigue, with RERI (95%CI) =2.64 (0.11, 5.59), API (95%CI) =0.38 (0.08, 0.67), and SI (95%CI) =1.78 (1.01, 3.14). Medical Homo sapiens personnel in a stressful state had a 7.25-fold higher risk of fatigue compared to those not in a stressful state, while those with job discomfort had a 2.01-fold higher risk compared to those in an adapted state. Conclusion: Occupational stress and job fit have interactive effects on physical fatigue and mental fatigue in medical Homo sapiens personnel. A stressful state combined with job discomfort increases the risk of fatigue occurrence, providing a basis for developing intervention strategies for occupational fatigue among medical Homo sapiens personnel.