The complexity of comorbidity distribution and pathogenesis in the elderly based on a dependency network simulation
1School of Systems Science, Beijing Normal University, Beijing, 100875, China.
Scientific Reports
|February 15, 2025
Summary
Understanding chronic disease comorbidities in older adults is crucial. Interventions must address the entire disease formation process, not just single conditions, to impact overall comorbidity prevalence effectively.
Area of Science:
- Gerontology
- Epidemiology
- Network Science
Background:
- Multiple chronic diseases in the elderly significantly impact health and quality of life.
- Identifying key comorbidities and their formation pathways is essential for effective management and control strategies.
Purpose of the Study:
- To construct a dependency network of chronic disease progression in older adults.
- To analyze the relationships and key drivers among chronic disease comorbidities using multi-centrality indicators.
Main Methods:
- Utilized two follow-up datasets from the Chinese Health and Retirement Longitudinal Study (CHARLS).
- Constructed a disease progression dependency network.
- Applied multi-centrality indicators to analyze comorbidity relationships.
Main Results:
- Chronic disease comorbidities exhibit a power-law distribution.
- Common comorbidities identified include heart disease and stroke, dyslipidemia and stroke, dyslipidemia and chronic liver disease, and chronic liver disease and stroke.
- Key states influencing comorbidity formation include complete health, isolated asthma, isolated arthritis, and stomach disease with arthritis.
Conclusions:
- The formation of chronic disease comorbidities is complex and does not significantly change by controlling single disease states.
- Reducing the prevalence of chronic disease comorbidities requires comprehensive interventions targeting the entire formation process, as isolated disease control has limited population-level impact.
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