Knowledge Tree
Relations (1)
related 2.58 — strongly supporting 5 facts
The relationship between sleep duration and age is established through their joint role as variables in studies of Executive Function, where they are analyzed using sliding window approaches [1], [2] and controlled for in regression models [3], [4], while also being subject to specific smoothing factors during data visualization [5].
Facts (5)
Sources
Impact of sleep duration on executive function and brain structure nature.com 5 facts
procedureMultiple regression analysis was used to test the relationship between sleep duration and the Executive Function latent variable while controlling for age, cardiovascular comorbidity, smoking pack years, BMI, genetic risk, and socioeconomic status.
claimThe sliding window approach used to study the relationship between age, Executive Function, and sleep duration does not assume a linear relationship between variables.
claimThe multiple regression model examining the relationship between sleep duration and Executive Function controlled for age, sleep characteristics (chronotype, insomnia), obstructive sleep apnoea traits (daytime sleepiness, snoring), vascular co-morbidity, smoking, BMI, APOE ε4 genotype, and socioeconomic status.
procedureThe researchers applied a mean smoothing factor of one hour for sleep duration and two years for age when visualizing the relationship between sleep duration and Executive Function.
procedureThe researchers used a sliding window approach with an age window of fixed age-quantile widths and a smoothing Gaussian kernel of five to analyze the relationship between age, Executive Function, and sleep duration.