ArticleBMC public health2025
Network analysis of anxiety and depressive symptoms among patients with cardiovascular disease.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Psychological distress, decision-making, and health behaviors among prostate cancer survivors with urinary incontinence: A scale- and symptom-level network analysis.Asia-Pacific journal of oncology nursing · 2026Article
- Network analysis of symptoms and psychological distress in patients with sudden sensorineural hearing loss.Medicine · 2026Article
- The Relationship Among Pain, Intrinsic Capacity, and Fear of Movement in Patients with Knee Osteoarthritis: A Moderated Network Analysis.Journal of pain research · 2026Article
- Dissecting Depression in Cardiovascular Disease in Middle-Aged and Older Adults: Evidence That Comorbidity is Associated with Higher Depression Network Strength.Psychology research and behavior management · 2026Article
- Observational
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4 authors.
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Abstract
backgroundPatients with cardiovascular disease (CVD) often experience anxiety and depression. However, the central and bridge symptoms of anxiety and depression among patients with CVD remain unclear. Network analysis is a statistical method that can reveal and visualise complex relationships between multiple variables. This study aimed to identify the central and bridge symptoms in the anxiety-depression network, which may provide potential targets for preventing and intervening in anxiety and depression.
methodsA total of 1180 patients with CVD were selected from the Psychology and Behavior Investigation of Chinese Residents. The survey was conducted from July 10 to September 15, 2021. Face-to-face electronic questionnaires were distributed to respondents by the investigators. The Generalized Anxiety Disorder 7 (GAD-7) and Patient Health Questionnaire-9 were used to assess anxiety and depressive symptoms among patients with CVD. Network analysis was conducted using R4.02 to identify central and bridge symptoms in the anxiety-depression network.
resultsAmong the 1180 patients with CVD included in this study, 673 (57%) were male and 507 (43%) were female. More than half (53.5%) of patients were under 60 years old. The mean GAD-7 score was 4.66 ± 4.38, and 169 (14.3%) patients had anxiety symptoms. The mean PHQ-9 score was 6.29 ± 5.29, and 235 (19.9%) had depressive symptoms. Furthermore, 144 (12.2%) patients people had both anxiety and depressive symptoms. In the network of anxiety and depressive symptoms, "unable to sit still because of anxiety", "feeling afraid that something terrible is about to happen", and "feeling bad or like a failure, or disappointing oneself or family" were the most influential and central symptoms. We also found that "feeling afraid that something terrible is about to happen" and "thoughts of dying or hurting oneself in some way" were pivotal bridge symptoms between anxiety and depression.
conclusionsThis study provides new insights into the network structure of anxiety and depression in patients with CVD. These identified central and bridge symptoms may be potentially effective targets for preventing anxiety and depression in patients with CVD, and may provide treatment strategies for patients with anxiety and depression.
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