Sleep efficiency in community-dwelling persons living with dementia: exploratory analysis using machine learning.

ABSTRACT:

Study objectives

Sleep disturbances lead to negative health outcomes and caregiver burden, particularly in community settings. This study aimed to investigate a predictive model for sleep efficiency and its associated features in older adults living with dementia in their own homes.

Methods

This was an exploratory, observational study. A total of 69 older adults diagnosed with dementia were included in this study. Data were collected via actigraphy for sleep and physical activity for 14 days, a sweat patch for cytokines for 2-3 days, and a survey of diseases, medications, psychological and behavioral symptoms, functional status, and demographics at baseline. Using 730 days of actigraphy, sweat patches, and baseline data, the best prediction model for sleep efficiency was sel

SUBMITTER: Lee JY 

PROVIDER: S-EPMC11789254 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature