ArticleNPJ digital medicine2024
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes.
Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Automated Insulin Delivery in Older Adults with Type 1 Diabetes.NEJM evidence · 2025Trial
- Examining the Potential of Person-centered Temporal Network Models to Individualize Type 1 Diabetes Care.International journal of behavioral medicine · 2026Article
- Applications of Continuous Glucose Monitoring in Cognitive Research in Diabetes: a Scoping Review.Current diabetes reports · 2026Article
- Plasma biomarkers of neurodegeneration and intraindividual cognitive variability: Comparing variability across test at one time point and using repeated ecological momentary assessment.Neuropsychology · 2026Article
- Digital physiological biomarkers predict within-person symptom changes in complex chronic illness.NPJ digital medicine · 2026Article
- Clinical Aspects and Molecular Mechanisms of Cognitive Dysfunction in Children and Adolescents with Type 1 Diabetes.Children (Basel, Switzerland) · 2026Review
- Concussion in the Wild: Clinical Utility of Ambulatory Assessment of Symptoms and Everyday Exposures in Adolescents and Adults with Concussion.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2026Article
- Prognostic significance of postoperative glycemic variability after gastric surgery: a retrospective cohort study and development of a mortality prediction model.European journal of medical research · 2025Article
- Cognitive flexibility is associated with the age of onset and duration among patients with type 1 diabetes.Scientific reports · 2025Article
- Leveraging Cognitive and Speech Ecological Momentary Assessment in Individuals With Phenylketonuria: Development and Usability Study of Cognitive Fluctuations in a Rare Disease Population.JMIR formative research · 2025Article
- Dynamic Relationships Among Continuous Glucose Metrics and Momentary Cognitive Performance in Diverse Adults With Type 1 Diabetes.Diabetes care · 2025Article
- Assessing Dynamic Cognitive Function in the Daily Lives of Youths With and Without Type 1 Diabetes: Usability Study.JMIR formative research · 2025Article
- A Narrative Review: Relationship Between Glycemic Variability and Emerging Complications of Diabetes Mellitus.Biomolecules · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 12 institutions in 2 countries.
Funding
Abstract
Type 1 diabetes (T1D) is a chronic condition characterized by glucose fluctuations. Laboratory studies suggest that cognition is reduced when glucose is very low (hypoglycemia) and very high (hyperglycemia). Until recently, technological limitations prevented researchers from understanding how naturally-occurring glucose fluctuations impact cognitive fluctuations. This study leveraged advances in continuous glucose monitoring (CGM) and cognitive ecological momentary assessment (EMA) to characterize dynamic, within-person associations between glucose and cognition in naturalistic environments. Using CGM and EMA, we obtained intensive longitudinal measurements of glucose and cognition (processing speed, sustained attention) in 200 adults with T1D. First, we used hierarchical Bayesian modeling to estimate dynamic, within-person associations between glucose and cognition. Consistent with laboratory studies, we hypothesized that cognitive performance would be reduced at low and high glucose, reflecting cognitive vulnerability to glucose fluctuations. Second, we used data-driven lasso regression to identify clinical characteristics that predicted individual differences in cognitive vulnerability to glucose fluctuations. Large glucose fluctuations were associated with slower and less accurate processing speed, although slight glucose elevations (relative to person-level means) were associated with faster processing speed. Glucose fluctuations were not related to sustained attention. Seven clinical characteristics predicted individual differences in cognitive vulnerability to glucose fluctuations: age, time in hypoglycemia, lifetime severe hypoglycemic events, microvascular complications, glucose variability, fatigue, and neck circumference. Results establish the impact of glucose on processing speed in naturalistic environments, suggest that minimizing glucose fluctuations is important for optimizing processing speed, and identify several clinical characteristics that may exacerbate cognitive vulnerability to glucose fluctuations.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.