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Occupational stress, burnout, and depression: an exploration from a network analysis perspective
Yiyuan Qiao1, Haitao Xu1, Yuling Li2
1School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health; Key Laboratory of Machine Perception (Ministry of Education), https://ror.org/02v51f717Peking University, 5 Yiheyuan Road, Haidian District, Beijing100871, China.
Background:
Occupational stress triggers psychological/physical health issues, elevating the risk of burnout and depression. This study explored the interrelationships among these constructs via network analysis (undirected/directed graphs).
Methods:
A total of 1363 participants from Beijing hospitals and a university completed House and Rizzo's Work Stress Scale, Zung's Self-Report Depression Scale, and Maslach Burnout Inventory-General Survey. Graphical Gaussian Model and directed acyclic graphs (DAG) identified core/bridge/upstream nodes and causal pathways.
Results:
Emotional exhaustion (EE) was the core node (expected influence = 2.11). The strongest edge was D11-D12 (weight = 0.46). EE, occupational stress 11, cynicism (CY), and personal accomplishment (PA) served as key bridging nodes. The network showed high stability (0.75). DAG identified upstream occupational stress 1/7/8, confirming direct occupational stress to depression pathways (emotional dysregulation model) and CY/PA mediated pathways (burnout structural theory).
Conclusions:
Targeted interventions on core/bridge/upstream nodes may prevent depression onset and progression in occupational settings.
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