ArticleDiabetologia2022
Dietary determinants of postprandial blood glucose control in adults with type 1 diabetes on a hybrid closed-loop system.
Article in Diabetologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 28 papers.
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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.
Effect of Changes in Carbohydrate Intake Patterns on Glucose Control in Patients With Type 1 Diabetes
Effect of Gender and Meal Composition on the Postprandial Glycemic Response in People With Type 1 Diabetes: Impact of Fat Content and Menstrual Cycle Phases
Who cites it
28 citing papers in PubMed, 51 citations in OpenAlex.
- Trial
- Postprandial glucose response to a low-sucrose chocolate spread in adults with type 1 diabetes: a randomized, double-blinded, cross-over, controlled trial.Nutrition & diabetes · 2026Trial
- Impact of Simplification Strategies on Postmeal Glucose Excursions in Older Adults with Type 1 Diabetes and Hypoglycemia.Diabetes technology & therapeutics · 2026Trial
- Investigating the effects of mycoprotein and guar gum on postprandial glucose in type 2 diabetes: a double-blind randomised controlled trial.Nutrition & diabetes · 2025Trial
- Trial
- What Makes the Difference? Predicting Glycemic Trajectories Following Initiation of Automated Insulin Delivery Systems in Youth With Type 1 Diabetes.Diabetes care · 2026Article
- Causal mediation pathways in continuous postprandial glucose monitoring for type 1 diabetes patients.npj metabolic health and disease · 2026Article
- Causal Mediation Pathways in Continuous Postprandial Glucose Monitoring for Type 1 Diabetes Patients.Research square · 2026Article
- Causal Mediation Pathways in Continuous Postprandial Glucose Monitoring for Type 1 Diabetes Patients.medRxiv : the preprint server for health sciences · 2026Article
- Article
- Comparative accuracy of automated carbohydrate estimation using NutriDish and ChatGPT-5 against dietitian-derived reference values.Frontiers in nutrition · 2026Article
- Coefficient of Variation to Assess the Reproducibility of Meal-Induced Glycemic Responses: Development of a Clustering Algorithm.JMIR diabetes · 2025Article
- Actual macronutrient composition of the Mediterranean diet and its association with adiposity and inflammation: a cross-sectional real-life study.Journal of translational medicine · 2025Article
- Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.Diabetes technology & therapeutics · 2025Review
- Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.Journal of diabetes science and technology · 2025Review
- Article
- Effects of protein intake on glucagon, insulin, and glucose dynamics: implications for diabetes.Frontiers in clinical diabetes and healthcare · 2025Review
- Associations between daily dietary carbohydrate intake and TIR in adults with type 1 diabetes.Frontiers in nutrition · 2025Article
- Insights in Nutrition to Optimize Type 1 Diabetes Therapy.Nutrients · 2024Review
- Postprandial glucose metabolism in children and adolescents with type 1 diabetes mellitus: potential targets for improvement.European journal of clinical nutrition · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisThe aim of this work was to assess the relationship between meal nutrients and postprandial blood glucose response (PGR) in individuals with type 1 diabetes on a hybrid closed-loop system (HCLS).
methodsThe dietary composition of 1264 meals (398 breakfasts, 441 lunches and 425 dinners) was assessed by 7-day food records completed by 25 individuals with type 1 diabetes on HCLSs (12 men/13 women, mean ± SD age 40 ± 12 years, mean ± SD HbA
resultsBreakfast, lunch and dinner significantly differed with respect to energy and nutrient intake and insulin doses. The blood glucose postprandial profile showed an earlier peak after breakfast and a slow increase until 4 h after lunch and dinner (p < 0.001). Mean ± SD postprandial time in range (TIR) was better at breakfast (79.3 ± 22.2%) than at lunch (71.3 ± 23.9%) or dinner (70.0 ± 25.9%) (p < 0.001). Significant negative predictors of TIR at breakfast were total energy intake, per cent intake of total protein and monounsaturated fatty acids, glycaemic load and absolute amounts of cholesterol, carbohydrates and simple sugars consumed (p < 0.05 for all). No significant predictors were detected for TIR at lunch. For TIR at dinner, a significant positive predictor was the per cent intake of plant proteins, while negative predictors were glycaemic load and intake amounts of simple sugars and carbohydrate (p < 0.05 for all). CONCLUSIONS/
interpretationThis study shows that nutritional factors other than the amount of carbohydrate significantly influence postprandial blood glucose control. These nutritional determinants vary between breakfast, lunch and dinner, with differing effects on postprandial blood glucose profile and insulin requirements, thus remaining a challenge to HCLSs.
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Identifiers
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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.