Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes

Area of Science:

• Neuroscience
• Endocrinology
• Psychology

Background:

• Type 1 diabetes (T1D) involves significant glucose fluctuations.
• Cognitive function is known to be impaired by both hypoglycemia and hyperglycemia in laboratory settings.
• Previous research lacked understanding of real-world glucose impact on cognition due to technological limits.

Purpose of the Study:

• To investigate the dynamic, within-person relationship between glucose levels and cognitive function in adults with T1D in naturalistic settings.
• To identify clinical factors that predict individual differences in cognitive vulnerability to glucose fluctuations.

Main Methods:

• Utilized continuous glucose monitoring (CGM) and ecological momentary assessment (EMA) for intensive longitudinal data collection.
• Employed hierarchical Bayesian modeling to analyze within-person associations between glucose and cognition (processing speed, sustained attention).
• Applied lasso regression to identify predictors of cognitive vulnerability to glucose variations.

Main Results:

• Significant associations were found between large glucose fluctuations and slower, less accurate processing speed.
• Slight glucose elevations correlated with faster processing speed, while sustained attention was not affected by glucose fluctuations.
• Age, hypoglycemia exposure, severe hypoglycemia history, microvascular complications, glucose variability, fatigue, and neck circumference predicted individual cognitive vulnerability.

Conclusions:

• Glucose fluctuations demonstrably impact processing speed in real-world T1D management.
• Reducing glucose variability is crucial for enhancing cognitive performance in this population.
• Several clinical factors can exacerbate cognitive vulnerability, highlighting targets for personalized interventions.