Relations (1)
related 4.64 — strongly supporting 24 facts
Sleep duration and executive function are linked by a quadratic relationship, where seven hours of sleep is associated with the highest executive function scores [1], [2]. This connection is supported by multiple regression models [3], [4] and is partially mediated by brain volume in specific regions [5], [6].
Facts (24)
Sources
Impact of sleep duration on executive function and brain structure nature.com 24 facts
claimAfter controlling for age using a quantile-based, age-residual analysis, seven hours of sleep was associated with the highest Executive Function score in the UK Biobank cohort.
accountThe researchers performed sensitivity analyses on individual cognitive test performance and sleep duration to address potential bias in missing data when comparing against the Executive Function latent variable.
claimA sensitivity analysis of individual cognitive tasks used to create the Executive Function latent variable showed a quadratic relationship between sleep duration and performance in all tasks except one.
referenceThe scientific article titled 'Impact of sleep duration on executive function and brain structure' was authored by X.Y. Tai, C. Chen, S. Manohar, and others, and published in the journal Communications Biology in 2022.
measurementVolume in 56 brain regions significantly predicted executive function, while volume in 46 brain regions showed a significant quadratic relationship with sleep duration; 41 of these brain regions overlapped, including the hippocampi, thalami, orbitofrontal cortex, right frontal pole, left parahippocampal gyri, and cerebellar regions.
measurementThe relationship between sleep duration and the Executive Function latent variable was visualized using a heatmap with a sample size of 479,420 participants.
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.
measurementThe mediation effect of brain volume on the relationship between sleep duration and executive function resulted in a significant drop in the beta value of a*b = 0.01 (p < 0.001).
claimForty-one brain regions, including the hippocampi, thalami, orbitofrontal cortex, right frontal pole, left parahippocampal gyri, and cerebellar regions, showed both a significant quadratic relationship with sleep duration and predictive power for executive function.
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.
procedureIn the regression model, participants were assigned a score of one if their sleep duration was between six and eight hours, and a score of zero otherwise, to reflect the quadratic relationship between sleep duration and Executive Function.
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.
claimA multiple regression analysis with Executive Function as the dependent variable demonstrated a quadratic relationship between sleep duration and Executive Function, comparing six-to-eight hour sleep durations to other reported sleep times.
measurementThe study examined the relationship between sleep duration and Executive Function age-residuals in younger participants (38–59 years, n = 262,409) and older participants (60–73 years, n = 212,006).
claimSleeping between six and eight hours is a significant positive predictor of executive function, even after controlling for factors such as obstructive sleep apnoea traits.
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.
claimA multiple regression model using Executive Function as the dependent variable confirmed a quadratic relationship between sleep duration and cognitive performance, controlling for age, chronotype, insomnia, obstructive sleep apnoea traits, vascular co-morbidity, smoking, BMI, APOE ε4 genotype, and socioeconomic status.
measurementThe effect of sleep on cognition is similar across age groups, but older participants (60–73 years) show a smaller variance and range of Executive Function scores related to sleep duration compared to younger participants (38–59 years), with F (262,409, 212,006) = 1.01, 95% CI [1.0017, 1.0181], p = 0.017.
claimSleeping between six and eight hours is significantly associated with higher executive function, and this relationship is partially mediated by brain volume in sleep-related regions.
measurementVolume in 56 brain regions significantly predicted executive function, while volume in 46 brain regions showed a significant quadratic relationship with sleep duration.
claimSeven hours of sleep is associated with the highest Executive Function score when controlling for age, a pattern observed in both younger and older participant groups in the study 'Impact of sleep duration on executive function and brain structure'.
measurementThe study analyzed sleep duration and Executive Function in two age subgroups: younger participants (<60 years, N = 264,935) and older participants (>60 years, N = 212,006).
measurementRegional brain volume differences between individuals who slept six-to-eight hours compared to other durations were correlated (r2 = 0.32, p < 0.001) with the strength of regional brain volume predicting executive function.