Co-Occurrence of Depression, Anxiety, and Burnout: A Cross-Sectional Network Analysis.

Introduction: Discrepancies persist regarding burnout-depression-anxiety relationships in health care workers (HCWs), hindering interventions. This cross-sectional study developed a symptom-level network model to clarify their interconnections.

Methods: Nine hundred ninety-two HCWs completed online surveys assessing depression, anxiety, and burnout symptoms. A network model was constructed using bridge expected influence (BEI) to identify central symptoms and network comparisons to evaluate work-related stress impacts.

Results: The analysis identified "psychomotor problems" (BEI=0.96, 95% CI [0.78, 1.11]), "irritability" (BEI=0.85, 95% CI [0.68, 1.02]), and "collapse" (BEI=0.78, 95% CI [0.58, 0.99]) as central symptoms. Network comparison revealed no significant differences in the structure of symptom networks among varying levels of stress (global strength in high-stress condition: 13.50; moderate-stress condition: 13.06; S =0.44, p =.17).

Conclusions: Preliminary evidence indicates interventions targeting "psychomotor problems," "irritability," and "collapse" can be applied across varying stress levels. Targeting these symptoms might disrupt cross-diagnostic activation pathways to mitigate comorbidities in HCWs.