ArticleJMIR diabetes2023
Glycemic Variability and Fluctuations in Cognitive Status in Adults With Type 1 Diabetes (GluCog): Observational Study Using Ecological Momentary Assessment of Cognition.
Article in JMIR diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 25 citations in OpenAlex.
- Real-Time Psychological Factors Using Ecological Momentary Assessment With Continuous Glucose Monitoring in Diabetes Mellitus: Scoping Review.JMIR diabetes · 2026Review
- Determinants of Stress and Obstacles to Diabetes-Related Quality of Life in Adults With Type 2 Diabetes: A Cross-Sectional Interaction-Mediation Analysis.Worldviews on evidence-based nursing · 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
- Phenotype Correlations of Neurological Manifestations in Wolfram Syndrome: Predictive Modeling in a Spanish Cohort.Diagnostics (Basel, Switzerland) · 2025Article
- Clin-STAR Corner: Practice Changing Advances in Diabetes Care.Journal of the American Geriatrics Society · 2025Review
- 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
- Article
- Assessing Dynamic Cognitive Function in the Daily Lives of Youths With and Without Type 1 Diabetes: Usability Study.JMIR formative research · 2025Article
- Using Ecological Momentary Assessment (EMA) to understand occupation from the perspective of the experiencing self: An illustrative example in workers with type 1 diabetes.Journal of occupational science · 2024Article
- Nocturnal hypoglycemia is associated with next day cognitive performance in adults with type 1 diabetes: Pilot data from the GluCog study.The Clinical neuropsychologist · 2024Article
- Impact of blood glucose on cognitive function in insulin resistance: novel insights from ambulatory assessment.Nutrition & diabetes · 2024Article
- Reliability and Validity of Ecological Momentary Assessment Response Time-Based Measures of Emotional Clarity: Secondary Data Analysis.JMIR mental health · 2024Article
- Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes.NPJ digital medicine · 2024Article
- Impact of Overnight Glucose on Next-Day Functioning in Adults With Type 1 Diabetes: An Exploratory Intensive Longitudinal Study.Diabetes care · 2023Article
- Ecological Momentary Assessment of Cognition in Clinical and Community Samples: Reliability and Validity Study.Journal of medical Internet research · 2023Article
- Reliability and Validity of Noncognitive Ecological Momentary Assessment Survey Response Times as an Indicator of Cognitive Processing Speed in People's Natural Environment: Intensive Longitudinal Study.JMIR mHealth and uHealth · 2023Article
- Clinically meaningful outcomes in Alzheimer's disease and Alzheimer's disease related dementias trials.Alzheimer's & dementia (New York, N. Y.)Article
- ATN blood biomarkers are related to digital cognitive assessment in type 1 diabetes.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
16 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundIndividuals with type 1 diabetes represent a population with important vulnerabilities to dynamic physiological, behavioral, and psychological interactions, as well as cognitive processes. Ecological momentary assessment (EMA), a methodological approach used to study intraindividual variation over time, has only recently been used to deliver cognitive assessments in daily life, and many methodological questions remain. The Glycemic Variability and Fluctuations in Cognitive Status in Adults with Type 1 Diabetes (GluCog) study uses EMA to deliver cognitive and self-report measures while simultaneously collecting passive interstitial glucose in adults with type 1 diabetes.
objectiveWe aimed to report the results of an EMA optimization pilot and how these data were used to refine the study design of the GluCog study. An optimization pilot was designed to determine whether low-frequency EMA (3 EMAs per day) over more days or high-frequency EMA (6 EMAs per day) for fewer days would result in a better EMA completion rate and capture more hypoglycemia episodes. The secondary aim was to reduce the number of cognitive EMA tasks from 6 to 3.
methodsBaseline cognitive tasks and psychological questionnaires were completed by all the participants (N=20), followed by EMA delivery of brief cognitive and self-report measures for 15 days while wearing a blinded continuous glucose monitor. These data were coded for the presence of hypoglycemia (<70 mg/dL) within 60 minutes of each EMA. The participants were randomized into group A (n=10 for group A and B; starting with 3 EMAs per day for 10 days and then switching to 6 EMAs per day for an additional 5 days) or group B (N=10; starting with 6 EMAs per day for 5 days and then switching to 3 EMAs per day for an additional 10 days).
resultsA paired samples 2-tailed t test found no significant difference in the completion rate between the 2 schedules (t
conclusionsThe results from this EMA optimization pilot guided key design decisions regarding the EMA frequency and study duration for the main GluCog study. The present report responds to the urgent need for systematic and detailed information on EMA study designs, particularly those using cognitive assessments coupled with physiological measures. Given the complexity of EMA studies, choosing the right instruments and assessment schedules is an important aspect of study design and subsequent data interpretation.
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