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Dissecting Depression in Cardiovascular Disease in Middle-Aged and Older Adults: Evidence That Comorbidity is
Rouyi Lin1,2, Yinshi Xiong1, Lin Wang1
1Heart Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China.
Insights
Older adults with cardiovascular disease (CVD) experience more severe depression. Comorbidities in CVD patients create a more interconnected symptom network, suggesting a higher risk for persistent depressive states.
Area of Science:
- Gerontology
- Cardiology
- Psychiatry
Background:
- Depression is a significant issue in older adults, particularly those with cardiovascular disease (CVD).
- Understanding the structure of depressive symptoms in this population is crucial for effective treatment.
Purpose of the Study:
- To examine depressive symptom structures in older adults with and without CVD using network analysis.
- To explore the impact of comorbidities on depressive symptom networks in older adults with CVD.
Main Methods:
- Utilized data from 15,234 participants in the 2018 CHARLS study.
- Employed propensity score matching (PSM) to create matched cohorts of individuals with and without CVD.
- Applied network analysis to assess depressive symptoms (CESD-10), identifying central symptoms and network properties.
Main Results:
- The CVD group showed higher depression prevalence and symptom severity compared to the non-CVD group.
- Key central symptoms in the CVD network included "depressed," "could not get going," and "bothered."
- CVD patients with comorbidities exhibited significantly higher global network strength, indicating a more cohesive symptom structure.
Conclusions:
- Older adults with CVD have distinct depressive symptom interactions.
- Increased network density in patients with comorbidities suggests a greater vulnerability to persistent depressive states.
- Targeting core symptoms like "feeling depressed" and "inability to get going" could enhance interventions for this demographic.
Objective:
Depression is prevalent among older adults with cardiovascular disease (CVD). This study utilized network analysis to examine depressive symptom structures in older adults with and without CVD and explored the impact of comorbidities.
Methods:
Based on 15,234 participants from the 2018 CHARLS data, propensity score matching (PSM) was used to construct a matched cohort of CVD and non-CVD individuals. Depressive symptoms were assessed via the CESD-10. Network analysis identified central symptoms and compared network connectivity and strength.
Results:
The CVD group exhibited significantly higher depression prevalence and symptom severity than the non-CVD group. In the CVD network, "depressed", "could not get going", and "bothered" were the most central symptoms. Notably, CVD patients with comorbidities showed significantly higher global network strength (S=0.44, P=0.008) than those without, indicating a more tightly coupled and potentially more persistent symptom structure.
Conclusion:
Older adults with CVD demonstrate distinct depression symptom interactions. The increased network density in patients with comorbidities suggests a higher vulnerability to self-sustaining depressive states. Targeting central symptoms like "feeling depressed" and "inability to get going" may optimize psychological interventions and clinical management for this population.
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