Representativeness and bias of neighborhood‐level determinants in UBRAIN: a multi‐site Aging and Dementia cohort
Our analysis of the UBRAIN cohort reveals a significant spatial and socioeconomic bias, with participants disproportionately residing in neighborhoods with few low-skilled workers, high employment rates, and a highly educated population. These differences in representativeness should be taken into account when interpreting results from such cohorts, especially in the context of urban and social determinants of health. Efforts should be made to include participants from neighborhoods with lower socioeconomic status.
Authors
- Pablo Analuisa Aguilar
- Eleni Palpatzis (ORCID: https://orcid.org/0000-0001-8478-273X)
- Adrià Tort‐Merino (ORCID: https://orcid.org/0000-0002-5646-0482)
- Antònia Valentín (ORCID: https://orcid.org/0000-0002-9275-7101)
- Sami Petricola (ORCID: https://orcid.org/0000-0002-0432-0664)
- Alexandre Bejanin (ORCID: https://orcid.org/0000-0002-9958-0951)
- Juan M. Fortea (ORCID: https://orcid.org/0000-0002-1340-638X)
- Neus Falgàs Martínez
- A. López
- Alberto Lleó
- María Franquesa‐Mullerat (ORCID: https://orcid.org/0009-0006-1484-7132)
- Sara E Zsadanyi
- Eider M Arenaza‐Urquijo
- Carmen M Colceriu
- Raquel Sánchez‐Valle
Institutions
- Universitat Autònoma de Barcelona (ES)
- Universitat Pompeu Fabra (ES)
- Hospital de Sant Pau (ES)
- Alzheimer’s Disease Neuroimaging Initiative (US)
- Barcelona Institute for Global Health (ES)
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (ES)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_108202
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00