ArticleGlobal advances in health and medicine2022
A Network Analysis of the Association Between Depressive Symptoms and Patient Activation Among Those With Elevated Cardiovascular Risk.
Article in Global advances in health and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Bridge Nodes Linking Depression and Medication Taking Self-Efficacy Dimensions Among Persons With HIV: A Secondary Data Analysis.AIDS and behavior · 2025Trial
- Interrelationships between suicide risk, childhood abuse, depression, hopelessness, and social support in treatment-naïve adolescent depression patients: a network analysis.BMC psychiatry · 2026Article
- A multilayer network analysis of cardiovascular-depression comorbidity reveals symptom-specific molecular biomarkers.Psychological medicine · 2025Article
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Network analysis provides a new method for conceptualizing interconnections among psychological and behavioral constructs. Objective: We used network analysis to investigate the complex associations between depressive symptoms and patient activation dimensions among patients at elevated risk of cardiovascular disease. Methods: This secondary analysis included 200 patients seen in primary care clinics. Depressive symptoms were assessed using the 21-item Beck Depression Inventory. Patient activation was measured using the 13-item Patient Activation Measure. Glasso networks were constructed to identify symptoms/traits that bridge depressive symptoms and patient activation and those that are central within the network. Results: "Self-dislike" and "confidence to maintain lifestyle changes during times of stress" were identified as important bridge pathways Conclusions: Bridge pathways identified in the network may be reasonable targets for clinical intervention aimed at disrupting the association between depressive symptoms and patient activation. Further research is warranted to assess whether targeting interventions to these central symptoms may help resolve other symptoms within the network.
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