Executive Function declines with increasing age, as observed in sliding window analysis of the UK Biobank cohort.
The researchers analyzed data from five tasks related to working memory or speed of processing to index executive function, utilizing the first available timepoint data for each participant.
In adolescents, cerebellar gray matter volume is associated with executive function and insomnia, with observed gender differences, according to a 2019 study in Scientific Reports.
After 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.
The 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.
A 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.
Smoking status, number of vascular comorbidities (hypertension, hypercholesterolaemia, diabetes), APOE ε4 genotype, and socioeconomic status are significant predictors of Executive Function.
The 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.
The researchers deconfounded age from the Executive Function measure by using age residuals within fixed-age quantile bins of 20% (7.1 years).
Volume 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.
A sensitivity analysis of the Executive Function latent variable in the study 'Impact of sleep duration on executive function and brain structure' showed a quadratic relationship between sleep duration and performance across all individual cognitive tasks except for the pairs-matching task, which may be due to a performance ceiling effect.
The study 'Impact of sleep duration on executive function and brain structure' examined the relationship between sleep duration and Executive Function age-residuals in a younger group (38–59 years, n = 262,409) and an older group (60–73 years, n = 212,006).
The relationship between sleep duration and the Executive Function latent variable was visualized using a heatmap with a sample size of 479,420 participants.
Multiple 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.
Cerebrovascular risk factors negatively impact frontoparietal network integrity and executive function in healthy aging populations, according to a 2020 study published in Nature Communications.
In the multiple regression model used in the study 'Impact of sleep duration on executive function and brain structure', age was the strongest predictor of Executive Function by an order of magnitude compared to other variables.
Seven hours of sleep was associated with the highest Executive Function score in the UK Biobank cohort, based on an age-residual analysis that controlled for the confounding effect of age on cognition.
Smoking status, number of vascular comorbidities (hypertension, hypercholesterolaemia, and diabetes), APOE ε4 genotype, and socioeconomic status were significant predictors of Executive Function in the regression model used in the study 'Impact of sleep duration on executive function and brain structure'.
Mediation analyses were conducted using the Lavaan software package with nonparametric bootstrapping of 1,000 iterations to estimate the directional influence of brain volume on executive function.
The sliding window approach used to study the relationship between age, Executive Function, and sleep duration does not assume a linear relationship between variables.
The 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).
Statistical results regarding the association between individual brain region volume and executive function were corrected for multiple comparisons using the Bonferroni method.
Jung et al. found gender differences in the relationship between cerebellar gray matter volume, executive function, and insomnia in adolescents.
Forty-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.
The 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.
Sliding window analysis of the UK Biobank cohort data showed a decline in Executive Function with increasing age.
In 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.
The 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.
A 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.
The 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).
The UK Biobank study analyzed five cognitive tasks to index executive function: a pairs matching task (measuring errors), the Trail-making task (measuring completion time difference between numeric and alphanumeric versions), the Tower Rearranging task (measuring accuracy), a variation of the card game Snap (measuring reaction time), and the Symbol-Digit Substitution task (measuring accuracy).
Sleeping between six and eight hours is a significant positive predictor of executive function, even after controlling for factors such as obstructive sleep apnoea traits.
Age is the strongest predictor of Executive Function by an order of magnitude compared to other predictors in the regression model.
The 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.
A 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.
The 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.
Sleeping 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.
The study estimated a latent variable termed 'Executive Function' from five cognitive tasks using confirmatory factor analysis to control for measurement error.
The negative effects of very short (two to three hours) and long (11 to 12 hours) sleep durations on Executive Function are more apparent in younger participants compared to older participants.
Daytime sleepiness, identified as an obstructive sleep apnoea trait, is a significant negative predictor of executive function.
Volume in 56 brain regions significantly predicted executive function, while volume in 46 brain regions showed a significant quadratic relationship with sleep duration.
The sensitivity analysis indicates that the individual cognitive tasks were well represented by the Executive Function latent variable.
Executive Function was estimated as a continuous cognitive function latent variable using confirmatory factor analysis (CFA) based on five cognitive tasks related to working memory or speed of processing.
Seven 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'.
The 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).
Regional 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.