ArticleBMC geriatrics2024
Exploring the relationship of sleep duration on cognitive function among the elderly: a combined NHANES 2011-2014 and mendelian randomization analysis.
Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Sleep patterns and impaired cognitive function in adults aged ≥ 55 years: a longitudinal study in China.BMC public health · 2026Article
- Sleep duration and cognitive function in middle-aged and older adults: a multinational study in China, England, and India.BMC public health · 2026Article
- Association between biological aging and coronary heart disease: A secondary analysis of two observational studies.iScience · 2026Article
- 24-hour movement behaviours are cross-sectionally associated with cognitive function in healthy adults aged 55 years and older.Scientific reports · 2025Article
- Mendelian randomization study of self-reported long sleep duration, short sleep duration, and insomnia and cognitive function.PloS one · 2025Article
- Within- and between-individual associations between sleep and cognition in older community-dwelling individuals.Frontiers in aging · 2025Article
- Association Between Serum Uric Acid Levels and Skin Cancer: Results from NHANES Data and Mendelian Randomization Analysis.Clinical, cosmetic and investigational dermatology · 2025Article
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Authors and funding
5 authors.
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Abstract
backgroundAs one of the key features of sleep, sleep duration (SD) has been confirmed to be associated with multiple health outcomes. However, the link between SD and cognitive function (CF) is still not well understood.
methodsWe employed a combined approach utilizing data from the National Health and Nutrition Examination Survey (NHANES 2011-2014) and Mendelian Randomization (MR) methods to investigate the relationship between SD and CF. In the NHANES cross-sectional analysis, the association between these variables was primarily examined through multivariate linear regression to explore direct correlations and utilized smoothing curve fitting to assess potential nonlinear relationships. To ensure the robustness of our findings, subgroup analyses were also conducted. MR analysis was used to assess the causal relationship between SD and sleeplessness on CF. After excluding confounding factors, univariate and multivariate MR were performed using inverse variance weighting (IVW) as the main analysis method, and sensitivity analysis was performed.
resultsThe results of our cross-sectional study indicate a notable negative association between SD and CF, forming an inverted U-shaped curve with the inflection point occurring at SD = 6 h. This relationship remains consistent and robust across subgroup analyses differentiated by variables such as age, levels of physical activity, and frequency of alcohol intake. In MR analysis, IVW analysis showed no causal relationship between SD and sleeplessness on CF (Both P > 0.05).
conclusionCross-sectional studies suggest the existence of an inverted U-shaped correlation between SD and CF among the elderly. However, MR analysis did not reveal a causal relationship between SD and CF, which the lack of nonlinear MR analysis may limit. These findings provide evidence from a sleep perspective for optimizing cognitive strategies in older adults.
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