A social determinants-based county-level cardiovascular mortality index to identify high-risk counties in the USA
Our novel SDOH-based SCMI consistently outperformed SVI in predicting US counties at risk of high CVD mortality. The identified leading county-level SDOH variables need further evaluation as potentially modifiable targets for community interventions. Our findings can improve county-level cardiovascular risk stratification and support efforts to mitigate geographical variations in cardiovascular mortality in the USA.
Authors
- Bibhas Chakraborty (ORCID: https://orcid.org/0000-0002-7366-0478)
- Tazeen H. Jafar (ORCID: https://orcid.org/0000-0001-7454-8376)
- Anqi Zhu (ORCID: https://orcid.org/0009-0006-7959-0104)
Institutions
- National University of Singapore (SG)
- Duke University (US)
- Duke Institute for Health Innovation (US)
- Duke-NUS Medical School (SG)
Publication Details
- Journal
- BMC Medicine
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1186/s12916-025-04537-6
- Primary Topic
- Cardiovascular Health and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00