Machine learning to discover factors predicting volume of white matter hyperintensities: Insights from the UK Biobank
Obesity and related metabolic abnormalities were linked with WMHs.Associations with time spent outdoors, creatinine, some red blood cell indices and height were among the less-known risk factors identified.Action on blood pressure, metabolic abnormalities, and adequate oxygenation may help to prevent WMHs.Biomarker links may suggest simple blood tests could aid in early dementia prediction.
Authors
- Elina Hyppönen (ORCID: https://orcid.org/0000-0003-3670-9399)
- Yigizie Yeshaw (ORCID: https://orcid.org/0000-0003-4587-7925)
- Iqbal Madakkatel (ORCID: https://orcid.org/0000-0003-2339-5917)
- Amanda L. Lumsden (ORCID: https://orcid.org/0000-0002-0214-6498)
- Anwar Mulugeta (ORCID: https://orcid.org/0000-0002-8018-3454)
Institutions
- University of South Australia (AU)
- South Australian Health and Medical Research Institute (AU)
- Addis Ababa University (ET)
- University of Gondar (ET)
Publication Details
- Journal
- Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1002/dad2.70090
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Australian Government
- Medical Research Council
- National Health and Medical Research Council