A systematic exposure‐wide framework leveraging machine learning to identify multidomain exposure factors and their joint influence on cognitive function: Evidence from a neurological cohort
The exposure-wide association study design, which assesses a broad range of exposures, is used to identify novel variables and understand their contributions to cognitive function. The findings from the multidomain analysis indicate that socioeconomic status is the most significant contributor to global cognitive function, while diet plays the largest role in memory function. Increasing the proportion of favorable phenotypes through multidomain interventions can significantly enhance public cognitive health.
Authors
- Ming Yang (ORCID: https://orcid.org/0000-0001-7788-3356)
- Huanting Pei
- Qun Xu (ORCID: https://orcid.org/0000-0003-0141-4427)
- Bowen Yin (ORCID: https://orcid.org/0000-0001-7974-3445)
- Rui Wen (ORCID: https://orcid.org/0009-0009-0691-7569)
- Ang Li (ORCID: https://orcid.org/0000-0002-4439-7834)
- Yanbing Li (ORCID: https://orcid.org/0000-0002-0676-3709)
- Jingtao Wu (ORCID: https://orcid.org/0000-0002-0634-3894)
- Jiaxin Zhao (ORCID: https://orcid.org/0009-0007-6095-3590)
- Siqi Zhu (ORCID: https://orcid.org/0000-0002-1601-9940)
- Yaoyu Hu
- Yuxia Ma (ORCID: https://orcid.org/0000-0002-3926-2644)
Institutions
- Hebei Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1002/alz.14624
- Citations
- 3
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 3.60
Funders
- National Science and Technology Major Project