ArticleFrontiers in public health2024
Unraveling the interconnectedness between physician burnout and symptoms of depression, anxiety, and stress: a network analysis among Chinese psychiatrists.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Exploring the interrelationships between athlete burnout, depression, and anxiety: a network analysis approach.Frontiers in psychology · 2026Article
- Longitudinal relationship between anxiety symptoms and occupational burnout dimensions among newly hired nurses: a cross-lagged network analysis.Frontiers in psychiatry · 2026Article
- The Spanish Version of the Short Warwick-Edinburgh Mental Well-Being Scale (SWEMWBS): Evidence on Validity, Reliability, and Test of a Processual Model of Physicians' Well-Being.Healthcare (Basel, Switzerland) · 2025Article
- Network analysis of burnout, depression, and anxiety with occupational and personal outcomes among clinical nurses in China.Scientific reports · 2025Article
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Authors and funding
12 authors.
Funding
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Abstract
Background: The COVID-19 pandemic significantly increased the levels of burnout and symptoms of depression, anxiety, and stress among healthcare professionals. However, research on the interrelations between burnout and psychological symptoms is scarce, particularly among psychiatrists. This study addresses this gap in a national sample. Method: Data was collected via an online survey conducted in Mainland China from January to March 2021 with a sample size of 3,783 participants. Psychological symptoms were assessed using the Depression, Anxiety, and Stress Scale-21 (DASS-21), and physician burnout was assessed using the Maslach Burnout Inventory-Human Service Survey (MBIHSS). Network analysis was used to examine the interconnection between physician burnout and psychological symptoms, with further analysis conducted on multiple levels, including individual symptoms in central positions or acting as bridges between clusters, and identifying core symptom combinations with significant correlations. Results: Stress emerged as the highest Expected Influence (EI) index, with emotional exhaustion in the burnout cluster being the singular bridge symptom. Furthermore, depressive symptoms such as hopelessness and anhedonia showed a strong and the most straightforward association with emotional exhaustion, while stress-related overreaction was closely associated with depersonalization. Conclusion: Network analysis between burnout and psychological symptoms identified critical symptoms like stress and emotional exhaustion in Chinese psychiatrists. Close monitoring of these symptoms may be crucial for mitigating the risk of common psychological disturbances and preventing their exacerbation in this population.
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