Longitudinal trajectories of passively monitored instrumental activities of daily living and high frequency digital cognitive assessment differ between cognitively normal and mild cognitively impaired older adults
HFA and passively monitored IADLs demonstrate longitudinal differences between older adults with intact cognition and those with MCI. Models that utilized person-specific distributions identified longitudinal group differences in additional features not captured by traditional between-group analyses. HFA approaches that use individualized distributions have potential to create more reliable and sensitive disease monitoring for AD.
Authors
- Adriana Hughes (ORCID: https://orcid.org/0000-0001-5209-2910)
- Hiroko H. Dodge (ORCID: https://orcid.org/0000-0001-7290-8307)
- Zachary Beattie (ORCID: https://orcid.org/0000-0002-4844-7122)
- John E. Ferguson (ORCID: https://orcid.org/0000-0002-9944-1003)
- Chao‐Yi Wu (ORCID: https://orcid.org/0000-0002-2187-6509)
- Samuel Y. Lee
- Catherine Ju (ORCID: https://orcid.org/0000-0003-3898-0529)
- Alyssa N. De Vito (ORCID: https://orcid.org/0000-0002-4078-3869)
- Alyssa Eichten
- Yan Liu (ORCID: https://orcid.org/0000-0001-7330-1793)
- Anael Kuperwajs Cohen
Institutions
- West Virginia University (US)
- University of Minnesota (US)
- Harvard University (US)
- Oregon Health & Science University (US)
- Providence College (US)
- Brown University (US)
- Butler Hospital (US)
- Massachusetts General Hospital (US)
- Minneapolis VA Health Care System (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.092318
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00