Optimizing the Assessment of Self‐Perceived Cognitive Functioning for Predicting Mild Cognitive Impairment: Integrating Traditional Methods with Daily Digital Diary Assessments: Results from the Einstein Aging Study (EAS)
Results suggest that traditional assessments and EMA measurements of memory and cognitive difficulties provide both shared and unique information. This information could be harnessed using advanced data analysis techniques to improve the prediction of incident MCI.
Authors
- Jacqueline Mogle (ORCID: https://orcid.org/0000-0002-6082-228X)
- Carol A. Derby (ORCID: https://orcid.org/0000-0002-5657-4519)
- Martin J. Sliwinski (ORCID: https://orcid.org/0000-0002-9611-7558)
- Cuiling Wang (ORCID: https://orcid.org/0000-0001-7806-1928)
- Laura A. Rabin
- Mindy Joy Katz (ORCID: https://orcid.org/0009-0004-7524-0292)
- Richard Lipton
- J. S. Cameron
- Ángel García de la Garza
Institutions
- Albert Einstein College of Medicine (US)
- Pennsylvania State University (US)
- City University of New York (US)
- Clemson University (US)
- Brooklyn College (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.092072
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00