64. The characteristics of emotional disorders in logistics industry and the effect analysis of evidence based nursing model

Abstract Background With the rapid development of e-commerce and modern supply chains, the size of the logistics industry continues to increase, and their work is characterized by high intensity, high timeliness, and high risk. Long term work pressure, irregular sleep patterns, and occupational safety hazards make this group a high-risk group for emotional disorders. Exploring the characteristics of emotional disorders among logistics employees and evaluating the effects of structured nursing intervention are of great practical significance for ensuring the healthy development of the industry and improving the well-being of employees. By analyzing the epidemiological characteristics of emotional disorders among logistics practitioners and testing the intervention effect of a structured evidence-based nursing model, this study aims to provide empirical evidence and feasible intervention plans for promoting mental health of this group. Methods This study adopts a mixed research method and conducts a cross-sectional survey to conduct sample evaluations on employees in a large logistics hub. From the participants who were screened to have mild to moderate symptoms of anxiety or depression, 160 people were randomly selected and divided into intervention group (n = 80) and control group (n = 80). The intervention group received an evidence-based structured cognitive behavioral and supportive group care model, which included: psychoeducation, stress cognitive restructuring, relaxation training, problem-solving skills and peer support group activities, once a week for 90 minutes each time. The control group received routine mental health brochures. Before the intervention, at the end of the intervention and 3 months after the intervention, the Generalized Anxiety Disorder Scale (GAD-7), Patient Health Questionnaire (PHQ-9), Occupational Burnout Inventory (MBI-GS) and Short Form of Quality of Life (SF-12) were used for evaluation respectively. Repeated measures analysis of variance and multiple regression analysis were used to process the data. Results The results showed that the detection rate of anxiety symptoms among logistics employees was 38.2%, and the detection rate of depressive symptoms was 31.6%, significantly higher than that of the general adult population. The end of the 8-week intervention and at the 3-month follow-up, the emotional exhaustion and depersonalization dimension scores of the intervention group in GAD-7, PHQ-9 and MBI-GS were significantly lower than those in the control group (p<.01), while the mental health dimension score of SF-12 was significantly improved (p<.01). The results show that the proposed evidence-based nursing model can effectively alleviate the emotional disorder symptoms of logistics practitioners, reduce work burnout. Discussion This study shows that an evidence-based nursing model that integrates cognitive behavioral techniques and peer support systems can effectively alleviate the anxiety and depression symptoms of this group, reduce occupational burnout, and improve their subjective mental health. Mental health intervention for high-pressure occupational groups such as logistics should go beyond individual psychological adjustment, embed awareness of the stress of the occupational environment, and focus on building supportive social networks. Future research will further explore comprehensive strategies that combine such psychological intervention with the optimization of organizational management of logistics enterprises to achieve more fundamental and extensive health promotion.