Stratifying dementia risk factors: A prediction model and hypothesis‐driven analysis
Data- and hypothesis-driven approaches identified convergent key risk factors Age, depression, and low education are major risk factors for dementia Higher body mass index was unexpectedly protective against dementia conversion Multimorbidity requires simultaneous evaluation of multiple risk factors Real-world analysis reveals complex interactions between dementia risks.
Authors
- Wyllians Vendramini Borelli (ORCID: https://orcid.org/0000-0001-9282-0601)
- João Pedro Ferrari‐Souza (ORCID: https://orcid.org/0000-0003-2183-1551)
- Eduardo Rigon Zimmer (ORCID: https://orcid.org/0000-0002-5349-0053)
- Rodrigo C. Barros (ORCID: https://orcid.org/0000-0002-0782-9482)
- Marco Antônio De Bastiani (ORCID: https://orcid.org/0000-0003-3924-5278)
- Daniel Arnold (ORCID: https://orcid.org/0009-0005-1488-5115)
Institutions
- Universidade Federal do Rio Grande do Sul (BR)
- McGill University Health Centre (CA)
- Instituto do Cérebro (BR)
- Hospital Moinhos de Vento (BR)
- Pontifícia Universidade Católica do Rio Grande do Sul (BR)
- McGill University (CA)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1002/alz.70870
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Alzheimer's Association
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
- Instituto Serrapilheira
- National Institutes of Health
- National Institute on Aging