ArticleTranslational psychiatry2024
Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from COVID-19: a national survey in China.
Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- Article
- Exploratory Ising model network analysis of cluster headache: mapping conditional associations across symptoms, triggers, and pain localization.The journal of headache and pain · 2026Article
- Mapping the central symptom structure of the insomnia severity index (ISI-7) and sleep duration: a network analysis.Sleep & breathing = Schlaf & Atmung · 2026Article
- Identifying past-year self-reported suicidality in outpatients with somatic symptom disorder using an interpretable machine-learning model: a multicenter study with an online calculator.BMC psychiatry · 2026Observational
- Prevalence, subtypes, and comorbidity of DSM-5 insomnia disorder among adults in Beijing, China: a large-scale cross-sectional study.BMC public health · 2026Article
- Prevalence and associated factors of insomnia among adults in Anhui Province, China.Frontiers in public health · 2026Article
- Gender differences in the prevalence and correlates of COVID-19 fear among mental health professionals: a network perspective based on a national survey in China.Frontiers in psychiatry · 2025Article
- The mediating role of psychological resilience in the relationship between deep learning approach and mathematical creativity: integrating structural equation model and network analysis.Frontiers in psychology · 2025Article
- Editorial: Biosocial determinants and solutions of mental health conditions in low and middle-income countries.Frontiers in public health · 2025Article
- Network analysis of work-family support and career identity and their associations with job burnout among primary healthcare workers: a cross-sectional study.Frontiers in public health · 2025Article
- Unravelling symptom interplay of depression, anxiety, insomnia and suicidality in adolescents: A network analysis.International journal of clinical and health psychology : IJCHPArticle
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12 authors.
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Abstract
Psychiatric syndromes are common following recovery from Coronavirus Disease 2019 (COVID-19) infection. This study investigated the prevalence and the network structure of depression, insomnia, and suicidality among mental health professionals (MHPs) who recovered from COVID-19. Depression and insomnia were assessed with the Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index questionnaire (ISI7) respectively. Suicidality items comprising suicidal ideation, suicidal plan and suicidal attempt were evaluated with binary response (no/yes) items. Network analyses with Ising model were conducted to identify the central symptoms of the network and their links to suicidality. A total of 9858 COVID-19 survivors were enrolled in a survey of MHPs. The prevalence of depression and insomnia were 47.10% (95% confidence interval (CI) = 46.09-48.06%) and 36.2% (95%CI = 35.35-37.21%), respectively, while the overall prevalence of suicidality was 7.8% (95%CI = 7.31-8.37%). The key central nodes included "Distress caused by the sleep difficulties" (ISI7) (EI = 1.34), "Interference with daytime functioning" (ISI5) (EI = 1.08), and "Sleep dissatisfaction" (ISI4) (EI = 0.74). "Fatigue" (PHQ4) (Bridge EI = 1.98), "Distress caused by sleep difficulties" (ISI7) (Bridge EI = 1.71), and "Motor Disturbances" (PHQ8) (Bridge EI = 1.67) were important bridge symptoms. The flow network indicated that the edge between the nodes of "Suicidality" (SU) and "Guilt" (PHQ6) showed the strongest connection (Edge Weight= 1.17, followed by "Suicidality" (SU) - "Sad mood" (PHQ2) (Edge Weight = 0.68)). The network analysis results suggest that insomnia symptoms play a critical role in the activation of the insomnia-depression-suicidality network model of COVID-19 survivors, while suicidality is more susceptible to the influence of depressive symptoms. These findings may have implications for developing prevention and intervention strategies for mental health conditions following recovery from COVID-19.
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