Network of burnout, depression, anxiety, and dropout intention in medical undergraduates

Pu Peng, Shubao Chen, Yuzhu Hao, Li He, Qianjin Wang, Yanan Zhou, Yi-Yuan Tang, Winson Fuzun Yang, Qiuxia Wu and Tieqiao Liu

International Journal of Social Psychiatry, 2023, vol. 69, issue 6, 1520-1531

Abstract: Background: Burnout, depression, and anxiety are highly prevalent among medical students, which often leads to their attrition. We aim to assess the inter-relationships of depression, burnout, and anxiety symptoms with dropout intention among Chinese medical undergraduates using the network analysis. Method: A total of 3,648 Chinese medical undergraduates were recruited through snowball sampling. Learning burnout scale, 9-item Patient Health Questionnaire (PHQ-9), and General Anxiety Disorder Scale (GAD-7) was used to assess burnout, depression, and anxiety symptoms, respectively. We used the EBICglasso model to estimate the network. We compared the network based on gender, study phase, and clinical experience. Results: After removing repeated submissions and incorrect responses to the trap question, 3,536 participants were included in the final analysis. The prevalence of burnout, depression, anxiety, and dropout intention was 38, 62.7, 38.4, and 39% respectively, which is consistent with previous findings. Network analysis suggested that anxiety and depression items clustered together and displayed several strong bridge connections, while burnout items formed another cluster. All the strongest edges were within the respective distress. Cynicism symptoms ‘I am fed up with study’ and ‘I want to study but I feel that studying is boring’ were the most central symptoms, while ‘fatigue’ and ‘worthless’ were the bridge symptoms within the burnout-depression-anxiety network. Other central symptoms included ‘worthless’, ‘I can handle my courses’, ‘nervous’, and ‘uncontrollable worry’. Cynicism symptoms ‘I am interested in my major’ and ‘I feel that the knowledge I have learned is useless’ were mostly related to dropout intention. Gender, study phase, and clinical experience didn’t affect the global strength of the burnout-depression-anxiety network. Conclusion: Our results indicated the predominance of cynicism symptoms within the burnout-depression-anxiety network and its substantial impact on dropout intention, suggesting that early detection and intervention for cynicism symptoms in Chinese medical students are in urgent need. Other central and bridge symptoms might also serve as potential targets for the prevention and treatment of burnout, depression, and anxiety among medical students. For example, studies suggest cognitive-behavioral therapy could quickly improve ‘worthless’, which might be beneficial in treating burnout, depression, and anxiety in medical students.

Keywords: Burnout; depression; anxiety; medical students; dropout; network analysis (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:sae:socpsy:v:69:y:2023:i:6:p:1520-1531

DOI: 10.1177/00207640231166629

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