Latent Cognitive Profiles Predict One-Year Health Outcomes in Older Adults Without Dementia
Junxin Li, Jiaying Li

TL;DR
This study identifies distinct cognitive profiles in older adults without dementia and shows how these profiles predict health outcomes like falls and sleep issues over one year.
Contribution
The study introduces a new method to classify cognitive profiles and demonstrates their predictive value for health outcomes in older adults.
Findings
Five distinct cognitive profiles were identified in dementia-free older adults.
Profiles with cognitive impairments showed higher risks for falls, sleep issues, and functional difficulties.
Domain-specific cognitive assessments can help guide targeted interventions for aging adults.
Abstract
Traditional classifications of cognitive status often overlook domain-specific cognitive deficits in older adults. This study aims to identify distinct cognitive profiles in older adults without dementia and evaluates their one-year predictive value for key health outcomes, including falls, sleep difficulties, depressive symptoms, and daily functioning. We analyzed data from 2,219 adults aged ≥65 years in the National Health and Aging Trends Study. Baseline cognitive performance, assessed across six domains at Round (R) 12 (with supplemental data from R11), included episodic memory, executive function, orientation, psychomotor function, visual attention, and working memory. Latent profile analysis identified five cognitive subgroups, and logistic regression models examined associations with one-year outcomes at R13, excluding pre-existing events.The five profiles were: (1) Overall…
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Taxonomy
TopicsDementia and Cognitive Impairment Research · Older Adults Driving Studies · Frailty in Older Adults
