Environmental Contributions to Stroke Prediction: A Multi‐Dimensional Exposome Index
Although neighborhood and air pollution factors did not significantly improve stroke risk prediction beyond individual-level risk factors (Standard-RiskModel vs Env-RiskModel), combining environmental exposures with basic demographics (EnvModel3) performed nearly as well as the Standard-RiskModel, suggesting environmental factors may still inform stroke prediction when disease-behavior data are limited or unavailable. Further research is needed to evaluate the contribution to stroke prediction of additional environmental variables.
Authors
- Yi‐Han Hu (ORCID: https://orcid.org/0000-0003-0882-6563)
- Harris Jamal (ORCID: https://orcid.org/0009-0003-1800-6937)
- Leslie A. McClure (ORCID: https://orcid.org/0000-0002-2465-6739)
- Dale P. Sandler (ORCID: https://orcid.org/0000-0002-6776-0018)
- Virginia Howard
- Xinlei Deng
- Emily J. Werder (ORCID: https://orcid.org/0000-0001-8757-6341)
- Lenore J J. Launer
- Suzanne E Judd
Institutions
- University of Alabama at Birmingham (US)
- National Institute of Environmental Health Sciences (US)
- National Institute on Aging (US)
- Saint Louis University (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70860_105669
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00