ArticleBMC psychiatry2024
Network analysis of anxiety and depressive symptoms among patients with heart failure.
Article in BMC 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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Who cites it
11 citing papers in PubMed.
- Effect and Safety of Xinfuli Granules in Chronic Heart Failure with Qi Deficiency and Blood Stasis: A Single-Center Randomized Controlled Trial.Chinese journal of integrative medicine · 2026Trial
- Network analysis of mental health literacy and depressive/anxiety symptoms in patients under maintenance hemodialysis: a cross-sectional study of multicenter data.Scientific reports · 2026Article
- A network analysis of post-traumatic stress disorder, anxiety, and depression in women with pregnancy loss.Reproductive health · 2026Article
- Identifying core symptoms of anxiety and depression in colorectal cancer patients: network analysis.Frontiers in psychiatry · 2026Article
- Network analysis of sleep quality-anxiety-depressive symptoms among patients with chronic heart failure.Frontiers in psychiatry · 2026Article
- School adjustment and mental health among adolescents: a network analysis.BMC pediatrics · 2025Article
- State of the "Art" in Precision Health Symptom Science Research.Seminars in oncology nursing · 2025Review
- Network analysis of anxiety and depressive symptoms among patients with cardiovascular disease.BMC public health · 2025Article
- Design and evaluation of a health education prompt list using network analysis for patients after PCI.Frontiers in public health · 2025Article
- A network analysis of anxiety and depression symptoms among empty nesters in China.Frontiers in psychology · 2025Article
- State, Trait Anxiety and Insomnia in Hospitalized Patients With Cardiovascular Disease.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2025Article
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5 authors.
Funding
Abstract
backgroundAnxiety and depressive symptoms are common among patients with heart failure (HF). Physical limitations, lifestyle changes, and uncertainties related to HF can result in the development or exacerbating of anxiety and depressive symptoms. However, the central and bridge symptoms of anxiety and depressive symptoms network among patients with HF remain unclear. Network analysis is a statistical method that can discover and visualize complex relationships between multiple variables. This study aimed to establish a network of anxiety and depressive symptoms and identify the central and bridge symptoms in this network among patients with HF.
methodsThis study employed a cross-sectional study design and convenience sampling to recruit patients with HF. This study followed the Helsinki Declaration and was approved by the Research Ethics Committee of Hospital. The Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire (PHQ-9) were administered to evaluate anxiety and depressive symptoms among patients with HF, respectively. Network analysis of anxiety and depressive symptoms was performed using R.
resultsIn the anxiety and depressive symptoms network, PHQ2 (feeling down, depressed, or hopeless), PHQ7 (inability to concentrate), and GAD4 (difficulty relaxing) were the most central symptoms. Anxiety and depressive symptoms were linked by PHQ2 (feeling down, depressed, or hopeless), GAD6 (becoming easily annoyed or impatient), GAD5 (unable to sit still because of anxiety), GAD7 (feeling afraid that something terrible is about to happen), and PHQ6 (feeling bad or like a failure, or disappointing oneself or family).
conclusionsThis study identified the central and bridge symptoms in a network of anxiety and depressive symptoms. Targeting these symptoms can contribute to interventions for patients with HF at risk of-or suffering from-anxiety and depressive symptoms, which can be effective in reducing the comorbidity of anxiety and depression.
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