Understanding Social Determinants of Health and Cognitive Impairment Risk in Diverse Populations Using Machine Learning: A HABS‐HD Study
The study provides direct evidence of the varying importance of SDoH across a multi-ethnic community. We highlight communities at the highest risk for cognitive impairment based on SDoH factors. These findings support the implementation of ethno-racially specific intervention strategies that combine public health initiatives with comorbid disease management to prevent or delay the onset of ADRD in the United States.
Authors
- J. Camille Hall (ORCID: https://orcid.org/0000-0002-9455-6522)
- Rajesh Ranjan Nandy (ORCID: https://orcid.org/0000-0003-0209-8059)
- Lubnaa Abdullah (ORCID: https://orcid.org/0000-0002-3664-1075)
- Zhengyang Zhou (ORCID: https://orcid.org/0000-0002-8039-418X)
- Kai Zhang (ORCID: https://orcid.org/0000-0002-2747-3962)
- Leigh A Johnson
- Sid E. O'Bryant
- Robert Barber
- Edna Patricia Mendoza
- Shanshan Wang
- Ibshar Khandakar
- Nicole Phillips
Institutions
- University of North Texas (US)
- University of North Texas Health Science Center (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70860_102363
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00