ArticleJournal of clinical medicine2022
Central Symptoms of Insomnia in Relation to Depression and COVID-19 Anxiety in General Population: A Network Analysis.
Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Mapping the central symptom structure of the insomnia severity index (ISI-7) and sleep duration: a network analysis.Sleep & breathing = Schlaf & Atmung · 2026Article
- Anxiety, depressive and insomnia symptoms among patients with depression: a network perspective.BMC psychology · 2025Article
- Psychological consistency network characteristics and influencing factors in patients after percutaneous coronary intervention treatment.World journal of psychiatry · 2025Article
- Network Analysis of Anxiety, Insomnia, Depression, and Suicide Attempts in Chinese Outpatients with Somatic Symptom Disorder.Neuropsychiatric disease and treatment · 2025Article
- Characteristics and Associated Factors of Insomnia Among the General Population in the Post-Pandemic Era of COVID-19 in Zhejiang, China: A Cross-Sectional Study.International journal of general medicine · 2025Article
- Echoes of Strain: A Two-Year Longitudinal Study on the Impact of China's Zero-COVID Policy on College Students' Insomnia and Depressive Symptoms.Nature and science of sleep · 2025Article
- Machine learning and Bayesian network analyses identifies associations with insomnia in a national sample of 31,285 treatment-seeking college students.BMC psychiatry · 2024Article
- Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from COVID-19: a national survey in China.Translational psychiatry · 2024Article
- Machine Learning and Bayesian Network Analyses Identifies Psychiatric Disorders and Symptom Associations with Insomnia in a national sample of 31,285 Treatment-Seeking College Students.Research square · 2024Article
- The chain mediating effects of resilience and perceived social support in the relationship between perceived stress and depression in patients with COVID-19.Frontiers in psychology · 2024Article
- The Inter-Relationships Between Depressive Symptoms and Suicidality Among Macau Residents After the "Relatively Static Management" COVID-19 Strategy: A Perspective of Network Analysis.Neuropsychiatric disease and treatment · 2024Article
- Prevalence of insomnia and its association with quality of life in caregivers of psychiatric inpatients during the COVID-19 pandemic: a network analysis.BMC psychiatry · 2023Article
- Special Issue "Sleep Disorders: From Clinical Research to Daily Practice".Journal of clinical medicine · 2023Article
- Relationships between childhood trauma and mental health during the COVID-19 pandemic: a network analysis.Frontiers in psychiatry · 2023Article
- Prevalence and Risk Factors Associated with Mental Health in Adolescents from Northern Chile in the Context of the COVID-19 Pandemic.Journal of clinical medicine · 2022Article
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3 authors.
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Abstract
backgroundInsomnia is prevalent among the general population, and studies have shown an increase in insomnia symptoms during the novel coronavirus (COVID-19) pandemic. Despite numerous studies of insomnia, few studies have investigated insomnia symptoms in detail. In this study, we used network analysis to investigate interactions between insomnia symptoms in the general population. Furthermore, given the effect of COVID-19 on mental health, we also investigated how anxiety response to COVID-19 and depression related to insomnia symptoms.
methodsData from 785 non-infected participants were used. The Insomnia Severity Index (ISI), Stress and Anxiety to Viral Epidemics-6 Scale (SAVE-6), and Patient Health Questionnaire-9 (PHQ-9) were used to measure insomnia symptoms, anxiety response to COVID-19, and depression, respectively. Network analysis was performed using R Studio. Centrality indices and edge weights were obtained, and each index was evaluated using bootstrapping methods.
resultsThe network revealed ISI7 (worry about current sleep pattern) to be the most central insomnia symptom. ISI7 was strongly connected to SAVE-6 total score, and ISI2 (difficulty staying asleep) was strongly connected to PHQ-9 total score.
conclusionHigh centrality of ISI7 supports the role of dysfunctional cognitions in etiological models of insomnia and thus the cognitive behavioral therapy for insomnia. The relationship between ISI7 and SAVE-6 is explained by transposition of worry and fear of contracting COVID-19 to worry about sleep patterns. The link between ISI2 and PHQ-9 necessitate further investigations of whether specific symptoms of insomnia are more associated with depression.
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