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The Journal of nervous and mental disease · 2025

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

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
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Ge Qi-Qi, Feng Ji-Feng, Liu Yan-Jun, Wu Yi-Lin, Hu Ting, Zhou Xiao-Na, Liu Yun-E, Wang Wei

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты