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

Author

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

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.

Suggested Citation

  • Pu Peng & Shubao Chen & Yuzhu Hao & Li He & Qianjin Wang & Yanan Zhou & Yi-Yuan Tang & Winson Fuzun Yang & Qiuxia Wu & Tieqiao Liu, 2023. "Network of burnout, depression, anxiety, and dropout intention in medical undergraduates," International Journal of Social Psychiatry, , vol. 69(6), pages 1520-1531, September.
  • Handle: RePEc:sae:socpsy:v:69:y:2023:i:6:p:1520-1531
    DOI: 10.1177/00207640231166629
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    References listed on IDEAS

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    1. Mustafa Ozgun Atalay & Pınar Aydemir & Taner Acuner, 2022. "The Influence of Emotional Exhaustion on Organizational Cynicism: The Sequential Mediating Effect of Organizational Identification and Trust in Organization," SAGE Open, , vol. 12(2), pages 21582440221, April.
    2. Hessah Almutairi & Abeer Alsubaiei & Sara Abduljawad & Amna Alshatti & Feten Fekih-Romdhane & Mariwan Husni & Haitham Jahrami, 2022. "Prevalence of burnout in medical students: A systematic review and meta-analysis," International Journal of Social Psychiatry, , vol. 68(6), pages 1157-1170, September.
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    1. Zhang, Zizhong & Yue, Yongjie & Jiang, Qiaolei, 2026. "Being tired but still Gaming? Exploring associations between gaming motivations, passion, gaming burnout and quitting intentions," Technology in Society, Elsevier, vol. 84(C).

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