A sleep-based risk model for predicting dementia: Development and validation in a Korean cohort

BackgroundDementia is a major public health challenge, yet existing prediction models often overlook sleep-related symptoms, despite their known links to cognitive decline.ObjectiveTo develop and validate a four-year Dementia Risk Score (DRS) incorporating self-reported sleep-related symptoms with demographic and clinical factors to predict all-cause dementia, including Alzheimer's disease.MethodsData from 3082 Korean adults aged 60-79 years were analyzed. Predictors were selected using LASSO regression and included in a multivariate logistic regression model. A point-based scoring system, the DRS, was constructed from the model coefficients. Internal validation was conducted using bootstrapping and a separate dataset.ResultsThe DRS achieved robust predictive performance, with AUC values of 0.824 in the training set and 0.826 in the validation set. Key predictors included sleep disturbance, use of sleep medications, daytime dysfunction, leg discomfort, and urge to move legs.ConclusionsThe DRS provides a practical, scalable tool for predicting dementia risk, supporting community-based screening and early intervention. External validation is needed to confirm its broader applicability.

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Publication Details

Journal
Journal of Alzheimer s Disease
Published
2025-05-08
DOI
https://doi.org/10.1177/13872877251340094
Citations
2
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
4.24
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article

A sleep-based risk model for predicting dementia: Development and validation in a Korean cohort

Shin Gyeom Kim, Eunji Lim, Hyukjun Lee, Seok Woo Moon et al.
2 citations
Journal of Alzheimer s Disease
Sleep and related disorders
4.24
article

A sleep-based risk model for predicting dementia: Development and validation in a Korean cohort

Shin Gyeom Kim, Eunji Lim, Hyukjun Lee, Seok Woo Moon, Seok Bum Lee, Seung‐Ho Ryu, J.H. Jhoo, Kyung Phil Kwak, Ki Woong Kim, Jeong Lan Kim, Hee Won Yang, Ji Won Han, Joon Hyuk Park, Bong‐Jo Kim, Dae Jong Oh, Seung Wan Suh, Dong Woo Lee, Jung Jae Lee, Jin Hee Shin
article en
2 citations

Abstract

BackgroundDementia is a major public health challenge, yet existing prediction models often overlook sleep-related symptoms, despite their known links to cognitive decline.ObjectiveTo develop and validate a four-year Dementia Risk Score (DRS) incorporating self-reported sleep-related symptoms with demographic and clinical factors to predict all-cause dementia, including Alzheimer's disease.MethodsData from 3082 Korean adults aged 60-79 years were analyzed. Predictors were selected using LASSO regression and included in a multivariate logistic regression model. A point-based scoring system, the DRS, was constructed from the model coefficients. Internal validation was conducted using bootstrapping and a separate dataset.ResultsThe DRS achieved robust predictive performance, with AUC values of 0.824 in the training set and 0.826 in the validation set. Key predictors included sleep disturbance, use of sleep medications, daytime dysfunction, leg discomfort, and urge to move legs.ConclusionsThe DRS provides a practical, scalable tool for predicting dementia risk, supporting community-based screening and early intervention. External validation is needed to confirm its broader applicability.

Journal of Alzheimer s DiseaseVol. 106(1)
Seoul National University (KR), Changwon National University (KR), Gyeongsang National University (KR), Chungnam National University (KR), Dongguk University (KR), Konkuk University (KR), Soonchunhyang University (KR), Seoul National University Bundang Hospital (KR), Konkuk University Medical Center (KR), Kangbuk Samsung Hospital (KR), Kangwon National University Hospital (KR), Inje University Sanggye Paik Hospital (KR), Dr Youth Clinic (KR), Chungnam National University Hospital (KR), Jeju National University Hospital (KR), Dankook University Hospital (KR), Dongguk University WISE, Bucheon University (KR), Sungkyunkwan University (KR)
Good health and well-being
Openalex Percentile: Top 7%
Sleep and related disorders
4.24
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