ArticleDiabetes technology & therapeutics2012
A comparison of average daily risk range scores for young children with type 1 diabetes mellitus using continuous glucose monitoring and self-monitoring data.
Article in Diabetes technology & therapeutics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Fluctuations of Hyperglycemia and Insulin Sensitivity Are Linked to Menstrual Cycle Phases in Women With T1D.Journal of diabetes science and technology · 2015Trial
- Glycemic variability: Measurement, target, impact on complications of diabetes and does it really matter?Journal of diabetes investigation · 2024Review
- Complications of Diabetes and Metrics of Glycemic Management Derived From Continuous Glucose Monitoring.The Journal of clinical endocrinology and metabolism · 2022Review
- Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies.JMIR diabetes · 2021Article
- Reducing Emotional Distress for Childhood Hypoglycemia in Parents (REDCHiP): Protocol for a Randomized Clinical Trial to Test a Video-Based Telehealth Intervention.JMIR research protocols · 2020Article
- Lifestyle changes and glycemic control in type 1 diabetes mellitus: a trial protocol with factorial design approach.Trials · 2020Article
- Iterative development of a web-based intervention for families of young children with type 1 diabetes: DIPPer Academy.Clinical practice in pediatric psychology · 2019Article
- Adherence to Insulin Pump Behaviors in Young Children With Type 1 Diabetes Mellitus.Journal of diabetes science and technology · 2017Article
- Evaluation of the Average Daily Risk Range as a Measure of Glycemic Variability in Youths with Type 1 Diabetes.Diabetes technology & therapeutics · 2015Article
- Identification and prediction of group-based glycemic control trajectories during the transition to adolescence.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2014Article
- Average Daily Risk Range (ADRR) in Young Children With Type 1 Diabetes.Journal of diabetes science and technology · 2014Article
- Use of technology when assessing adherence to diabetes self-management behaviors.Current diabetes reports · 2014Review
- Average daily risk range as a measure for clinical research and routine care.Journal of diabetes science and technology · 2013Review
- Effects of sensor-augmented pump therapy on glycemic variability in well-controlled type 1 diabetes in the STAR 3 study.Diabetes technology & therapeutics · 2012Article
- Pilot study results for a novel behavior plus nutrition intervention for caregivers of young children with type 1 diabetes.Journal of nutrition education and behaviorArticle
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Authors and funding
4 authors.
Funding
Abstract
backgroundYoung children with type 1 diabetes are vulnerable to glycemic excursion. Continuous glucose monitoring (CGM), combined with variability statistics, can offer a richer and more complete picture of glycemic variability in young children. In particular, we present data for the Average Daily Risk Range (ADRR) and compare ADRR scores calculated using CGM versus self-monitoring of blood glucose (SMBG) data for young children.
methodsCGM and SMBG data from 48 young children with type 1 diabetes (mean age, 5.1 years) were used to calculate two separate ADRR scores, using SMBG data (ADRRs) and CGM data (ADRRc), for each child. Additionally, we calculated mean amplitude of glycemic excursion (MAGE) scores for children to examine the concurrent validity of the ADRRs and ADRRc.
resultsYoung children's mean ADRRc score was significantly greater than their ADRRs score (55±12 and 46±11, respectively; P<0.001). In addition, 74% of the time the children's ADRRc score reflected greater variability risk than their ADRRs score. Examining the concurrent validity, children's ADRRc scores correlated positively with MAGE scores calculated using their CGM and SMBG data, whereas their ADRRs scores only correlated with MAGE scores calculated using SMBG.
conclusionsADRR scores generated for young children with type 1 diabetes demonstrate a high risk for glucose variability, but ADRR scores generated from CGM data may provide a more sensitive measure of variability than ADRR scores generated from SMBG. In young children with type 1 diabetes, ADRR scores calculated from CGM data may be superior to scores calculated from SMBG for measuring risk of excursion.
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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.