ArticleMedicine2026
Association between habitual sleep duration and Alzheimer's disease: A cross-sectional study based on NHANES 2007-2018.
Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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7 authors.
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Abstract
Given the potential importance of sleep disturbances in the pathophysiology of Alzheimer's disease (AD), as well as the fact that habitual sleep duration - an observable and modifiable lifestyle factor - has become a significant potential target for early risk warning of neurodegenerative diseases, this study utilizes data from the National Health and Nutrition Examination Survey to thoroughly examine the association between AD and habitual sleep patterns among adults in the United States. It aims to determine the correlations among sleep duration, Alzheimer's disease, and all-cause mortality, thereby providing population-based evidence for the early prevention and public health intervention of AD. Using a cross-sectional design, 29,692 participants were selected. A multiple logistic regression model was used to assess the association between sleep duration and Alzheimer's disease. Additionally, all-cause mortality status was derived from matched records obtained from the United States National Death Index. The Cox regression model was used to calculate the hazard ratios and 95% confidence intervals of all-cause mortality associated with the relationship between sleep duration and AD. Our analysis revealed a significant positive correlation between increased sleep time and AD prevalence, a relationship that persisted in the adjusted model. Subgroup analysis showed that this association remained consistent across different populations. This study clarifies the effectiveness of sleep time as a predictive tool for AD and underscores its importance in AD assessment. Based on the predictive value of sleep time, our study advocates incorporating body composition factors into AD risk assessment, thus expanding the scope of Alzheimer's disease prevention strategies.
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