ArticleAnnals of medicine2024
Prevalence, dimensions, and correlates of excessive daytime sleepiness in community-dwelling older adults: the Yilan study, Taiwan.
Article in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Changes in Self-Reported Excessive Daytime Sleepiness Are Associated With 5-Year All-Cause Mortality Risk Among Veterans.Journal of sleep research · 2026Article
- Excessive Daytime Sleepiness and Risk of Sleep Apnea: A Retrospective Analysis of Peruvian Adults.Clinical practice and epidemiology in mental health : CP & EMH · 2026Article
- Dimensionality and reliability of the Epworth Sleepiness Scale in dental patients referred for oral appliance therapy.Journal of oral & facial pain and headache · 2025Article
- Optimizing Obstructive Sleep Apnea Risk Assessment in Hypertension: Development of a Predictive Nomogram in China.Nature and science of sleep · 2025Article
- Mapping Dysphagia Research Trends in Community Dwelling Older Adults: A Bibliometric Analysis.Journal of multidisciplinary healthcare · 2024Review
- Association of Excessive Daytime Sleepiness With Long-Term Incident Dementia: The Role of β-Amyloid and White Matter Injury.Alzheimer's & dementia (New York, N. Y.)Article
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Authors and funding
3 authors.
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Abstract
backgroundDaytime sleepiness is an important health problem. However, the dimensionality of the Epworth Sleepiness Scale (ESS) in older adults remains unclear. This study aimed to determine the prevalence of ESS-defined excessive daytime sleepiness in older adults. Furthermore, the dimensionality of ESS and its respective correlates were also compared. MATERIALS AND
methodsThis is a community-based survey in which community-dwelling older adults aged ≥ 65 years participated. Excessive daytime sleepiness was assessed using the ESS and was defined as an ESS score of > 10. Exploratory factor analysis was performed to identify the ESS factors. Multiple logistic regression analysis was used to examine the independent correlates of the ESS-defined and factor-specific correlates of excessive daytime sleepiness.
resultsIn total, 3978 older adults participated in this study. The mean age was 76.6 ± 6.7 years, with 53.8% ≥ 75 years, and 57.1% were female. The prevalence of ESS-defined excessive daytime sleepiness was 16.0%. An exploratory factor analysis revealed two factors in the ESS, which were designated as 'passive' and 'active' according to the soporific levels of ESS items loaded in each factor. Multiple logistic regression showed that male, illiteracy, depression, disability, short sleep duration and no exposure to hypnotics were risk indicators for ESS-defined excessive daytime sleepiness. However, the correlates for passive and active factor-defined excessive daytime sleepiness differ in pattern, especially in variables related to education, exercise, mental health, and sleep.
conclusionsThe prevalence of ESS-defined excessive daytime sleepiness is high, and its correlates vary among older adults. This study also suggests a dual ESS structure in community-dwelling older adults.
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