Digital semantic fluency analysis detects dementia in multilingual Kenyan adults
These findings demonstrate that an automatically scored, multilingual SVF test can reliably detect dementia in older Kenyan adults, particularly when practice effects are considered. Digital SVF holds promise as a culturally adaptable, rapid, and sensitive tool for cognitive screening in low-resource, multilingual settings. By accommodating linguistic diversity, it could increase access to earlier diagnosis and foster more inclusive clinical research in Africa. This approach highlights the potential for bridging gaps in equitable dementia care by delivering cost-effective and scalable solutions.
Authors
- Irene B. Meier (ORCID: https://orcid.org/0000-0003-0942-9797)
- Levi A. Muyela
- Anne Njogu (ORCID: https://orcid.org/0000-0003-0333-3380)
- Karen Blackmon (ORCID: https://orcid.org/0000-0002-2665-7807)
- Elisa Mallick
- Vaibhav A. Narayan (ORCID: https://orcid.org/0000-0001-6092-5150)
- Zul Merali (ORCID: https://orcid.org/0000-0002-6360-7913)
- Anne Njoki Gitere
- Nicklas Linz
- Johannes Tröger
- Alexandra König
- Chinedu T Udeh‐Momoh
Institutions
- Dartmouth College (US)
- Dartmouth–Hitchcock Medical Center (US)
- Public Health Agency of Sweden (SE)
- Aga Khan University Nairobi (KE)
- Global Brain Health Institute (US)
- Wake Forest University (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_103811
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00