ArticleNutrients2023
Individual Postprandial Glycemic Responses to Meal Types by Different Carbohydrate Levels and Their Associations with Glycemic Variability Using Continuous Glucose Monitoring.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07175701 (Effects of Ultra-processed Food Reduction Intervention on Postprandial Glucose and Glycemic Variability in Korean Young Adults), which is not on this map. Cited by 17 papers.
What it found
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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.
Effects of Ultra-processed Food Reduction Intervention on Postprandial Glucose and Glycemic Variability in Korean Young Adults: Study Protocol for the ULTRA-CGM Randomized Controlled Trial
Who cites it
17 citing papers in PubMed.
- Trial
- The beneficial impact of a low-carbohydrate diet on glycemic variability in insulin-deficient diabetes.Frontiers in nutrition · 2025Trial
- Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control.Frontiers in endocrinology · 2024Trial
- Article
- Diagnostic utility of fasting versus non-fasting blood glucose: contextualising testing strategies-a narrative review.Diabetology & metabolic syndrome · 2026Review
- Influence of dietary intake and eating patterns on reactive hypoglycemic events in patients postesophagectomy: A prospective observational study using continuous glucose monitoring.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026Observational
- Beyond scalar metrics: functional data analysis of postprandial continuous glucose monitoring in the AEGIS study.BMC medical research methodology · 2026Article
- Personalized Nutrition Through the Gut Microbiome in Metabolic Syndrome and Related Comorbidities.Nutrients · 2026Review
- A study on the effects of a whole grain diet combined with short duration exercise on postprandial glucose levels in overweight and obese adults.Frontiers in nutrition · 2026Article
- Within-person modeling of postprandial glucose using multimodal wearable data.Frontiers in digital health · 2026Article
- Coefficient of Variation to Assess the Reproducibility of Meal-Induced Glycemic Responses: Development of a Clustering Algorithm.JMIR diabetes · 2025Article
- Article
- Metabolic syndrome in type 1 diabetes: higher time above range and glycemic variability revealed by continuous glucose monitoring (CGM).Diabetology & metabolic syndrome · 2025Article
- Editorial: Continuous glucose monitoring: beyond diabetes management.Frontiers in endocrinology · 2025Article
- Acceptance and feasibility of novel staple foods among individuals with type 2 diabetes in Singapore: a mixed methods study.Frontiers in nutrition · 2025Article
- Predictors of Postprandial Hyperglycemia in Non-Diabetic Adult Hospital Visitors: A Cross-Sectional Study Across Religious Groups in Northern Israel.Journal of clinical medicine · 2024Article
- Systems Biology of Human Microbiome for the Prediction of Personal Glycaemic Response.Diabetes & metabolism journal · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
This study aimed to investigate individual postprandial glycemic responses (PPGRs) to meal types with varying carbohydrate levels and examine their associations with 14-day glycemic variability using continuous glucose monitoring (CGM) in young adults. In a two-week intervention study with 34 participants connected to CGM, four meal types and glucose 75 g were tested. PPGRs were recorded for up to 2 h with a 15 min interval after meals. Data-driven cluster analysis was used to group individual PPGRs for each meal type, and correlation analysis was performed of 14-day glycemic variability and control with related factors. Participants had a mean age of 22.5 years, with 22.8% being male. Four meal types were chosen according to carbohydrate levels. The mean glucose excursion for all meal types, except the fruit bowl, exhibited a similar curve with attenuation. Individuals classified as high responders for each meal type exhibited sustained peak glucose levels for a longer duration compared to low responders, especially in meals with carbohydrate contents above 50%. A meal with 45% carbohydrate content showed no correlation with either 14-day glycemic variability or control. Understanding the glycemic response to carbohydrate-rich meals and adopting a meal-based approach when planning diets are crucial to improving glycemic variability and control.
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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 OpenQuestion graph.