Interconnected mental health symptoms: network analysis of depression, anxiety, stress, and burnout among psychiatric nurses in the context of the COVID-19 pandemic DOI Creative Commons
Rui Tao, Song Wang, Qiang Lü

et al.

Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 28, 2024

Background Mental health symptoms such as anxiety, depression, stress, and burnout are common among healthcare workers. However, the interconnections them remain under-explored. This study aimed to address interrelationships these in psychiatric nurses. Methods We conducted a nationwide survey early stage of COVID-19 pandemic (January March 2021) investigate interconnectedness Using network analysis, we identified central symptoms, important bridge correlations symptoms. Results Of 9,224 nurses (79.2% female) included statistical analyses, 27.6% reported clinically significant 31.2% 14.5% 23.8% burnout. Network analysis revealed that stress had highest expected influence (EI) value (0.920) strength all nodes. The node for depression scored both closeness betweenness. Emotional exhaustion (EE) (BEI) 0.340, with strongest intergroup association between EE depression. No differences were found gender or frontline work experience (all p > 0.05). Conclusions Burnout, relatively context pandemic. While anxiety was most prevalent, emerged core symptom, an bridging node. Interventions targeting nodes may improve mental

Language: Английский

The underlying dynamics of a suicidal ideation latent network model: The role of hopelessness, psychopathology, emotion regulation, and behavioral coping skills in adolescents from the general population DOI
César Villacura-Herrera, Marcelo Ávalos‐Tejeda, Jorge Gaete

et al.

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
Risk and protective factors for suicidal ideation among Saudi adolescents: A network analysis DOI
Mogeda El Sayed El Keshky

International Journal of Social Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 4, 2024

Suicide is among the leading cause of death in adolescence and suicidal ideation its most critical precursor. Suicidal being a complex phenomenon involving multiple factors, this study aimed to use network analysis depict interplay risk protective factors for ideation.

Language: Английский

Citations

1
Interconnected mental health symptoms: network analysis of depression, anxiety, stress, and burnout among psychiatric nurses in the context of the COVID-19 pandemic DOI Creative Commons
Rui Tao, Song Wang, Qiang Lü

et al.

Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 28, 2024

Background Mental health symptoms such as anxiety, depression, stress, and burnout are common among healthcare workers. However, the interconnections them remain under-explored. This study aimed to address interrelationships these in psychiatric nurses. Methods We conducted a nationwide survey early stage of COVID-19 pandemic (January March 2021) investigate interconnectedness Using network analysis, we identified central symptoms, important bridge correlations symptoms. Results Of 9,224 nurses (79.2% female) included statistical analyses, 27.6% reported clinically significant 31.2% 14.5% 23.8% burnout. Network analysis revealed that stress had highest expected influence (EI) value (0.920) strength all nodes. The node for depression scored both closeness betweenness. Emotional exhaustion (EE) (BEI) 0.340, with strongest intergroup association between EE depression. No differences were found gender or frontline work experience (all p > 0.05). Conclusions Burnout, relatively context pandemic. While anxiety was most prevalent, emerged core symptom, an bridging node. Interventions targeting nodes may improve mental

Language: Английский

Citations

1