Network analysis of suicide ideation and depression–anxiety symptoms among Chinese adolescents

General Psychiatry, Journal Year: 2024, Volume and Issue: 37(2), P. e101225 - e101225

Published: March 28, 2024

The co-occurrence of depression and anxiety among adolescents is typically associated with suicide ideation. study aimed to investigate the symptom-level relationship between ideation comorbidity anxiety. 1501 aged 12-19 years were assessed using Patient Health Questionnaire (PHQ-9) Generalized Anxiety Disorder Scale, 716 who scored ≥5 on both scales selected as participants. Network analysis was used identify network structure depressive symptoms symptoms. Participants categorised into either or non-suicide groups based their scoring suicide-related item in PHQ-9. A comparison made depression-anxiety symptom networks two groups. 'Restlessness', 'sad mood' 'trouble relaxing' most prominent central network, 'restlessness', 'nervousness' 'reduced movement' bridge this network. 'Sad found be directly related 'suicide ideation' highest variance. significantly different properties group group, 'restlessness' exhibiting higher influence than that group. Restlessness sad mood could targeted for intervention

Language: Английский

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Interrelationships of stress, burnout, anxiety, depression, quality of life and suicidality among Chinese residents under Standardized Residency Training: a network analysis

Annals of Medicine, Journal Year: 2024, Volume and Issue: 56(1)

Published: Nov. 28, 2024

Background Chinese resident physicians confront challenges such as staff shortages and heavy workloads, leading to a heightened prevalence of mental distress. This study aims investigate the symptom network stress, burnout, anxiety, depression (SBAD) adverse personal outcomes in this cohort.

Language: Английский

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Interconnected mental health symptoms: network analysis of depression, anxiety, stress, and burnout among psychiatric nurses in the context of the COVID-19 pandemic

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

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A network analysis of the interrelationships between depression, anxiety, insomnia and quality of life among fire service recruits

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: July 3, 2024

Background Research on the mental health and quality of life (hereafter QOL) among fire service recruits after end COVID-19 restrictions is lacking. This study explored network structure depression, anxiety insomnia, their interconnections with QOL in post-COVID-19 era. Methods cross-sectional used a consecutive sampling across China. We measured severity insomnia symptoms, overall using nine-item Patient Health Questionnaire (PHQ-9), seven-item Generalized Anxiety Disorder scale (GAD-7), Insomnia Severity Index (ISI) questionnaire, World Organization Quality Life-brief version (WHOQOL-BREF), respectively. estimated most central symptoms centrality index expected influence (EI), connecting bridge EI. Results In total, 1,560 participated study. The prevalence depression (PHQ-9 ≥ 5) was 15.2% (95% CI: 13.5–17.1%), while (GAD-7 11.2% 9.6–12.8%). GAD4 (“Trouble relaxing”) had highest EI whole model, followed by ISI5 (“Interference daytime functioning”) GAD6 (“Irritability”). contrast, PHQ4 (“Fatigue”) values network, functioning”). Additionally, ISI4 “Sleep dissatisfaction” (average edge weight = −1.335), which symptom intensity value, strongest negative correlation QOL. Conclusion Depression were important issues to address era Targeting identified analysis could help

Language: Английский

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Perceived Helplessness Is the Central Symptom of Mental Distress in Chinese Physicians: Network Analysis and Replication of Stress, Burnout, Depression, and Anxiety Network Analysis of Physicians’ Mental Distress

Asian Journal of Psychiatry, Journal Year: 2024, Volume and Issue: 102, P. 104247 - 104247

Published: Sept. 17, 2024

Language: Английский

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Time perspectives and wisdom during zero-COVID: the boundary effect of emotions

Current Psychology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Language: Английский

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