Cross-domain latent profiles of MCI and dementia are most differentiated by social and emotional functioning.

ABSTRACT:

Objective

Because of the complexity of Alzheimer's Disease (AD) clinical presentations across bio-psycho-social domains of functioning, data-reduction approaches, such as latent profile analysis (LPA), can be useful for studying profiles rather than individual symptoms. Previous LPA research has resulted in more precise characterization and understanding of patients, better clarity regarding the probability and rate of disease progression, and an empirical approach to identifying those who might benefit most from early intervention. Whereas previous LPA research has revealed useful cognitive, neuropsychiatric, or functional subtypes of patients with AD, no study has identified patient profiles that span the domains of health and functioning and that also include motor and sensory f

SUBMITTER: Cohen ML 

PROVIDER: S-EPMC12404670 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature