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Open Access 28-02-2025 | Type 1 Diabetes | Review

Proposed Practical Guidelines to Improve Glycaemic Management by Reducing Glycaemic Variability in People with Type 1 Diabetes Mellitus

Authors: Alejandra de Torres-Sánchez, Francisco J. Ampudia-Blasco, Serafín Murillo, Virginia Bellido, Antonio J. Amor, Pedro Mezquita-Raya

Published in: Diabetes Therapy | Issue 4/2025

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Abstract

Introduction

For decades, glycaemic variability (GV) was ignored in clinical practice because its precise assessment was challenging and there were no specific recommendations to reduce it. However, the current widespread use of continuous glucose monitoring (CGM) systems has changed this situation. Associations between high GV and risk of hypoglycaemia, onset of macro- and microvascular complications and mortality have been described in type 1 diabetes (T1D). It is therefore important to identify the causes of excessive glycaemic excursions and make recommendations for people with T1D to achieve better glycaemic management by minimising GV in both the short term and the long term.

Methods

To achieve these aims, a panel comprising four endocrinologists, one diabetes nurse educator and one nutritionist worked together to reach a consensus on the detection of triggers of GV and propose clinical guidelines to reduce GV and improve glycaemic management by reducing the risk of hypoglycaemias.

Results and Conclusions

In total, four different areas of interest were identified, in which the insufficient education and/or training of people with T1D could lead to higher GV: physical activity; dietary habits; insulin therapy, especially when pump-based systems are not used; and other causes of GV increase. Practical, easy-to-follow recommendations to reduce GV in daily activities were then issued, with the aim of enabling people with T1D to reduce either hypoglycaemia or hyperglycaemia episodes. By doing this, their quality of life may be improved, and progression of chronic complications may be prevented or delayed.
Appendix
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Literature
1.
2.
go back to reference Lazar S, Ionita I, Reurean-Pintilei D, Timar B. How to measure glycemic variability? A literature review. Medicina (Kaunas). 2023;60(1):61.PubMedCrossRef Lazar S, Ionita I, Reurean-Pintilei D, Timar B. How to measure glycemic variability? A literature review. Medicina (Kaunas). 2023;60(1):61.PubMedCrossRef
3.
go back to reference Gomes da Costa C, Matos T, Vale S. Association between the coefficient of glycemic variation and time in range, below and above range in continuous monitoring glucose systems in type 1 diabetes. Endocr Abstr. 2022;81:P325. Gomes da Costa C, Matos T, Vale S. Association between the coefficient of glycemic variation and time in range, below and above range in continuous monitoring glucose systems in type 1 diabetes. Endocr Abstr. 2022;81:P325.
5.
go back to reference Rodbard D. Glucose variability: a review of clinical applications and research developments. Diabetes Technol Ther. 2018;20:S25-215.PubMedCrossRef Rodbard D. Glucose variability: a review of clinical applications and research developments. Diabetes Technol Ther. 2018;20:S25-215.PubMedCrossRef
6.
go back to reference Bellido V, Aguilera E, Cardona-Hernandez R, et al. Expert recommendations for using time-in-range and other continuous glucose monitoring metrics to achieve patient-centered glycemic control in people with diabetes. J Diabetes Sci Technol. 2023;17(5):1326–36.PubMedCrossRef Bellido V, Aguilera E, Cardona-Hernandez R, et al. Expert recommendations for using time-in-range and other continuous glucose monitoring metrics to achieve patient-centered glycemic control in people with diabetes. J Diabetes Sci Technol. 2023;17(5):1326–36.PubMedCrossRef
7.
go back to reference Chatwin H, Broadley M, Hendrieckx C, Hypo-RESOLVE Consortium, et al. The impact of hypoglycaemia on quality of life among adults with type 1 diabetes: results from “YourSAY: Hypoglycaemia.” J Diabetes Complic. 2023;37(11):108232.CrossRef Chatwin H, Broadley M, Hendrieckx C, Hypo-RESOLVE Consortium, et al. The impact of hypoglycaemia on quality of life among adults with type 1 diabetes: results from “YourSAY: Hypoglycaemia.” J Diabetes Complic. 2023;37(11):108232.CrossRef
8.
go back to reference Chatwin H, Broadley M, Speight J, Hypo-RESOLVE Consortium, et al. The impact of hypoglycaemia on quality of life outcomes among adults with type 1 diabetes: a systematic review. Diabetes Res Clin Pract. 2021;174:108752.PubMedCrossRef Chatwin H, Broadley M, Speight J, Hypo-RESOLVE Consortium, et al. The impact of hypoglycaemia on quality of life outcomes among adults with type 1 diabetes: a systematic review. Diabetes Res Clin Pract. 2021;174:108752.PubMedCrossRef
9.
go back to reference Zhang L, Sun XX, Tian QS. Research progress on the association between glycemic variability index derived from CGM and cardiovascular disease complications. Acta Diabetol. 2024;61(6):679–92.PubMedCrossRef Zhang L, Sun XX, Tian QS. Research progress on the association between glycemic variability index derived from CGM and cardiovascular disease complications. Acta Diabetol. 2024;61(6):679–92.PubMedCrossRef
10.
go back to reference Sun B, Luo Z, Zhou J. Comprehensive elaboration of glycemic variability in diabetic macrovascular and microvascular complications. Cardiovasc Diabetol. 2021;20(1):9.PubMedPubMedCentralCrossRef Sun B, Luo Z, Zhou J. Comprehensive elaboration of glycemic variability in diabetic macrovascular and microvascular complications. Cardiovasc Diabetol. 2021;20(1):9.PubMedPubMedCentralCrossRef
11.
go back to reference Benalia M, Zeller M, Mouhat B, et al. Glycaemic variability is associated with severity of coronary artery disease in patients with poorly controlled type 2 diabetes and acute myocardial infarction. Diabetes Metab. 2019;45(5):446–52.PubMedCrossRef Benalia M, Zeller M, Mouhat B, et al. Glycaemic variability is associated with severity of coronary artery disease in patients with poorly controlled type 2 diabetes and acute myocardial infarction. Diabetes Metab. 2019;45(5):446–52.PubMedCrossRef
12.
go back to reference Gerbaud E, Darier R, Montaudon M, et al. Glycemic variability is a powerful independent predictive factor of midterm major adverse cardiac events in patients with diabetes with acute coronary syndrome. Diabetes Care. 2019;42(4):674–81.PubMedCrossRef Gerbaud E, Darier R, Montaudon M, et al. Glycemic variability is a powerful independent predictive factor of midterm major adverse cardiac events in patients with diabetes with acute coronary syndrome. Diabetes Care. 2019;42(4):674–81.PubMedCrossRef
13.
go back to reference Wang A, Liu X, Xu J, et al. Visit-to-visit variability of fasting plasma glucose and the risk of cardiovascular disease and all-cause mortality in the general population. J Am Heart Assoc. 2017;6(12): e006757.PubMedPubMedCentralCrossRef Wang A, Liu X, Xu J, et al. Visit-to-visit variability of fasting plasma glucose and the risk of cardiovascular disease and all-cause mortality in the general population. J Am Heart Assoc. 2017;6(12): e006757.PubMedPubMedCentralCrossRef
14.
go back to reference Zhou JJ, Coleman R, Holman RR, Reaven P. Long-term glucose variability and risk of nephropathy complication in UKPDS, ACCORD and VADT trials. Diabetologia. 2020;63(11):2482–5.PubMedPubMedCentralCrossRef Zhou JJ, Coleman R, Holman RR, Reaven P. Long-term glucose variability and risk of nephropathy complication in UKPDS, ACCORD and VADT trials. Diabetologia. 2020;63(11):2482–5.PubMedPubMedCentralCrossRef
15.
go back to reference Lee CL, Chen CH, Wu MJ, Tsai SF. The variability of glycated hemoglobin is associated with renal function decline in patients with type 2 diabetes. Ther Adv Chronic Dis. 2020;11:2040622319898370.PubMedPubMedCentralCrossRef Lee CL, Chen CH, Wu MJ, Tsai SF. The variability of glycated hemoglobin is associated with renal function decline in patients with type 2 diabetes. Ther Adv Chronic Dis. 2020;11:2040622319898370.PubMedPubMedCentralCrossRef
16.
go back to reference Christensen MMB, Hommel EE, Jørgensen ME, Fleischer J, Hansen CS. Glycemic variability and diabetic neuropathy in young adults with type 1 diabetes. Front Endocrinol (Lausanne). 2020;11:644.PubMedCrossRef Christensen MMB, Hommel EE, Jørgensen ME, Fleischer J, Hansen CS. Glycemic variability and diabetic neuropathy in young adults with type 1 diabetes. Front Endocrinol (Lausanne). 2020;11:644.PubMedCrossRef
17.
go back to reference Akaza M, Akaza I, Kanouchi T, Sasano T, Sumi Y, Yokota T. Nerve conduction study of the association between glycemic variability and diabetes neuropathy. Diabetol Metab Syndr. 2018;10:69.PubMedPubMedCentralCrossRef Akaza M, Akaza I, Kanouchi T, Sasano T, Sumi Y, Yokota T. Nerve conduction study of the association between glycemic variability and diabetes neuropathy. Diabetol Metab Syndr. 2018;10:69.PubMedPubMedCentralCrossRef
18.
go back to reference Pai YW, Lin CH, Lee IT, Chang MH. Variability of fasting plasma glucose and the risk of painful diabetic peripheral neuropathy in patients with type 2 diabetes. Diabetes Metab. 2018;44(2):129–34.PubMedCrossRef Pai YW, Lin CH, Lee IT, Chang MH. Variability of fasting plasma glucose and the risk of painful diabetic peripheral neuropathy in patients with type 2 diabetes. Diabetes Metab. 2018;44(2):129–34.PubMedCrossRef
19.
go back to reference Yang CP, Li CI, Liu CS, et al. Variability of fasting plasma glucose increased risks of diabetic polyneuropathy in T2DM. Neurology. 2017;88(10):944–51.PubMedCrossRef Yang CP, Li CI, Liu CS, et al. Variability of fasting plasma glucose increased risks of diabetic polyneuropathy in T2DM. Neurology. 2017;88(10):944–51.PubMedCrossRef
20.
go back to reference Schreur V, van Asten F, Ng H, et al. Risk factors for development and progression of diabetic retinopathy in Dutch patients with type 1 diabetes mellitus. Acta Ophthalmol. 2018;96(5):459–64.PubMedPubMedCentralCrossRef Schreur V, van Asten F, Ng H, et al. Risk factors for development and progression of diabetic retinopathy in Dutch patients with type 1 diabetes mellitus. Acta Ophthalmol. 2018;96(5):459–64.PubMedPubMedCentralCrossRef
21.
go back to reference Wilmot EG, Choudhary P, Leelarathna L, Baxter M. Glycaemic variability: the under-recognized therapeutic target in type 1 diabetes care. Diabetes Obes Metab. 2019;21(12):2599–608.PubMedPubMedCentralCrossRef Wilmot EG, Choudhary P, Leelarathna L, Baxter M. Glycaemic variability: the under-recognized therapeutic target in type 1 diabetes care. Diabetes Obes Metab. 2019;21(12):2599–608.PubMedPubMedCentralCrossRef
22.
go back to reference Mori H, Okada Y, Kurozumi A, Narisawa M, Tanaka Y. Factors influencing interday glycemic variability in diabetic outpatients receiving insulin therapy. J Diabetes Investig. 2017;8(1):69–74.PubMedCrossRef Mori H, Okada Y, Kurozumi A, Narisawa M, Tanaka Y. Factors influencing interday glycemic variability in diabetic outpatients receiving insulin therapy. J Diabetes Investig. 2017;8(1):69–74.PubMedCrossRef
23.
go back to reference Battelino T, Danne T, Bergenstal RM, et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care. 2019;1(42):1593–603.CrossRef Battelino T, Danne T, Bergenstal RM, et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care. 2019;1(42):1593–603.CrossRef
24.
go back to reference Young J, Waclawski E, Young JA, Spencer J. Control of type 1 diabetes mellitus and shift work. Occup Med (Lond). 2013;63(1):70–2.PubMedCrossRef Young J, Waclawski E, Young JA, Spencer J. Control of type 1 diabetes mellitus and shift work. Occup Med (Lond). 2013;63(1):70–2.PubMedCrossRef
25.
go back to reference Albishri MA, Alsubaie DM, Abugad HA, Abdel Wahab MM. Association between glycemic control and shift working among healthcare workers with diabetes, Dammam, Saudi Arabia: five years’ experience. Saudi Med J. 2021;42(12):1296–301.PubMedPubMedCentralCrossRef Albishri MA, Alsubaie DM, Abugad HA, Abdel Wahab MM. Association between glycemic control and shift working among healthcare workers with diabetes, Dammam, Saudi Arabia: five years’ experience. Saudi Med J. 2021;42(12):1296–301.PubMedPubMedCentralCrossRef
26.
go back to reference Riddell MC, Li Z, Beck RW, et al. More time in glucose range during exercise days than sedentary days in adults living with type 1 diabetes. Diabetes Technol Ther. 2021;23(5):376–83.PubMedPubMedCentralCrossRef Riddell MC, Li Z, Beck RW, et al. More time in glucose range during exercise days than sedentary days in adults living with type 1 diabetes. Diabetes Technol Ther. 2021;23(5):376–83.PubMedPubMedCentralCrossRef
27.
go back to reference Drenthen LCA, Ajie M, Bakker EA, et al. Daily unstructured physical activity affects mean glucose, occurrence of hypoglycaemia and glucose variability in people with type 1 diabetes. Diabetes Obes Metab. 2023;25(12):3837–40.PubMedCrossRef Drenthen LCA, Ajie M, Bakker EA, et al. Daily unstructured physical activity affects mean glucose, occurrence of hypoglycaemia and glucose variability in people with type 1 diabetes. Diabetes Obes Metab. 2023;25(12):3837–40.PubMedCrossRef
28.
go back to reference Riddell MC, Peters AL. Exercise in adults with type 1 diabetes mellitus. Nat Rev Endocrinol. 2023;19(2):98–111.PubMedCrossRef Riddell MC, Peters AL. Exercise in adults with type 1 diabetes mellitus. Nat Rev Endocrinol. 2023;19(2):98–111.PubMedCrossRef
29.
go back to reference Riddell MC, Gallen IW, Smart CE, et al. Exercise management in type 1 diabetes: a consensus statement. Lancet Diabetes Endocrinol. 2017;5(5):377–90.PubMedCrossRef Riddell MC, Gallen IW, Smart CE, et al. Exercise management in type 1 diabetes: a consensus statement. Lancet Diabetes Endocrinol. 2017;5(5):377–90.PubMedCrossRef
30.
go back to reference Sparks JR, Sarzynski MA, Davis JM, Grandjean PW, Wang X. Cross-sectional and individual relationships between physical activity and glycemic variability. Transl J Am Coll Sports Med. 2022;7(4):1–12.PubMedPubMedCentral Sparks JR, Sarzynski MA, Davis JM, Grandjean PW, Wang X. Cross-sectional and individual relationships between physical activity and glycemic variability. Transl J Am Coll Sports Med. 2022;7(4):1–12.PubMedPubMedCentral
31.
go back to reference Zhu X, Zhao L, Chen J, et al. The effect of physical activity on glycemic variability in patients with diabetes: a systematic review and meta-analysis of randomized controlled trials. Front Endocrinol (Lausanne). 2021;12: 767152.PubMedCrossRef Zhu X, Zhao L, Chen J, et al. The effect of physical activity on glycemic variability in patients with diabetes: a systematic review and meta-analysis of randomized controlled trials. Front Endocrinol (Lausanne). 2021;12: 767152.PubMedCrossRef
32.
go back to reference Sparks JR, Kishman EE, Sarzynski MA, et al. Glycemic variability: importance, relationship with physical activity, and the influence of exercise. Sports Med Health Sci. 2021;3(4):183–93.PubMedPubMedCentralCrossRef Sparks JR, Kishman EE, Sarzynski MA, et al. Glycemic variability: importance, relationship with physical activity, and the influence of exercise. Sports Med Health Sci. 2021;3(4):183–93.PubMedPubMedCentralCrossRef
33.
go back to reference Riddell MC, Li Z, Gal RL, T1DEXI Study Group, et al. Examining the acute glycemic effects of different types of structured exercise sessions in type 1 diabetes in a real-world setting: the type 1 diabetes and exercise initiative (T1DEXI). Diabetes Care. 2023;46(4):704–13.PubMedPubMedCentralCrossRef Riddell MC, Li Z, Gal RL, T1DEXI Study Group, et al. Examining the acute glycemic effects of different types of structured exercise sessions in type 1 diabetes in a real-world setting: the type 1 diabetes and exercise initiative (T1DEXI). Diabetes Care. 2023;46(4):704–13.PubMedPubMedCentralCrossRef
34.
go back to reference Riddell MC, Gal RL, Bergford S, et al. The acute effects of real-world physical activity on glycemia in adolescents with type 1 diabetes: the type 1 diabetes exercise initiative pediatric (T1DEXIP) study. Diabetes Care. 2024;47(1):132–9.PubMedCrossRef Riddell MC, Gal RL, Bergford S, et al. The acute effects of real-world physical activity on glycemia in adolescents with type 1 diabetes: the type 1 diabetes exercise initiative pediatric (T1DEXIP) study. Diabetes Care. 2024;47(1):132–9.PubMedCrossRef
35.
go back to reference Murillo S, Brugnara L, Servitja JM, Novials A. High intensity interval training reduces hypoglycemic events compared with continuous aerobic training in individuals with type 1 diabetes: HIIT and hypoglycemia in type 1 diabetes. Diabetes Metab. 2022;48(6): 101361.PubMedCrossRef Murillo S, Brugnara L, Servitja JM, Novials A. High intensity interval training reduces hypoglycemic events compared with continuous aerobic training in individuals with type 1 diabetes: HIIT and hypoglycemia in type 1 diabetes. Diabetes Metab. 2022;48(6): 101361.PubMedCrossRef
36.
go back to reference Martins TBFS, Gomes OV, Soltani P, Oliveira THR, de Brito-Gomes JL. Sex-related glycemic and cardiovascular responses after continuous and interval aerobic sessions in patients with type 1 diabetes: a randomized crossover study. Am J Cardiol. 2024;228:48–55.PubMedCrossRef Martins TBFS, Gomes OV, Soltani P, Oliveira THR, de Brito-Gomes JL. Sex-related glycemic and cardiovascular responses after continuous and interval aerobic sessions in patients with type 1 diabetes: a randomized crossover study. Am J Cardiol. 2024;228:48–55.PubMedCrossRef
37.
go back to reference Colberg SR, Sigal RJ, Yardley JE, et al. Physical activity/exercise and diabetes: a position statement of the American Diabetes Association. Diabetes Care. 2016;39(11):2065–79.PubMedPubMedCentralCrossRef Colberg SR, Sigal RJ, Yardley JE, et al. Physical activity/exercise and diabetes: a position statement of the American Diabetes Association. Diabetes Care. 2016;39(11):2065–79.PubMedPubMedCentralCrossRef
38.
go back to reference Adolfsson P, Taplin CE, Zaharieva DP, et al. ISPAD clinical practice consensus guidelines 2022: exercise in children and adolescents with diabetes. Pediatr Diabetes. 2022;23(8):1341–72.PubMedPubMedCentralCrossRef Adolfsson P, Taplin CE, Zaharieva DP, et al. ISPAD clinical practice consensus guidelines 2022: exercise in children and adolescents with diabetes. Pediatr Diabetes. 2022;23(8):1341–72.PubMedPubMedCentralCrossRef
40.
go back to reference DAFNE Study Group. Training in flexible, intensive insulin management to enable dietary freedom in people with type 1 diabetes: dose adjustment for normal eating (DAFNE) randomised controlled trial. BMJ. 2002;325(7367):746.PubMedCentralCrossRef DAFNE Study Group. Training in flexible, intensive insulin management to enable dietary freedom in people with type 1 diabetes: dose adjustment for normal eating (DAFNE) randomised controlled trial. BMJ. 2002;325(7367):746.PubMedCentralCrossRef
41.
go back to reference Evert AB, Dennison M, Gardner CD, et al. Nutrition therapy for adults with diabetes or prediabetes: a consensus report. Diabetes Care. 2019;42(5):731–54.PubMedPubMedCentralCrossRef Evert AB, Dennison M, Gardner CD, et al. Nutrition therapy for adults with diabetes or prediabetes: a consensus report. Diabetes Care. 2019;42(5):731–54.PubMedPubMedCentralCrossRef
42.
go back to reference Annan SF, Higgins LA, Jelleryd E, et al. ISPAD clinical practice consensus guidelines 2022: nutritional management in children and adolescents with diabetes. Pediatr Diabetes. 2022;23(8):1297–321.PubMedCrossRef Annan SF, Higgins LA, Jelleryd E, et al. ISPAD clinical practice consensus guidelines 2022: nutritional management in children and adolescents with diabetes. Pediatr Diabetes. 2022;23(8):1297–321.PubMedCrossRef
43.
go back to reference Patton SR, Bergford S, Sherr JL, et al. Postprandial glucose variability following typical meals in youth living with type 1 diabetes. Nutrients. 2024;16(1):162.PubMedPubMedCentralCrossRef Patton SR, Bergford S, Sherr JL, et al. Postprandial glucose variability following typical meals in youth living with type 1 diabetes. Nutrients. 2024;16(1):162.PubMedPubMedCentralCrossRef
44.
go back to reference Tay J, Thompson CH, Brinkworth GD. Glycemic variability: assessing glycemia differently and the implications for dietary management of diabetes. Annu Rev Nutr. 2015;35:389–424.PubMedCrossRef Tay J, Thompson CH, Brinkworth GD. Glycemic variability: assessing glycemia differently and the implications for dietary management of diabetes. Annu Rev Nutr. 2015;35:389–424.PubMedCrossRef
48.
go back to reference Bell KJ, Toschi E, Steil GM, Wolpert HA. Optimized mealtime insulin dosing for fat and protein in type 1 diabetes: application of a model-based approach to derive insulin doses for open-loop diabetes management. Diabetes Care. 2016;39:1631–4.PubMedCrossRef Bell KJ, Toschi E, Steil GM, Wolpert HA. Optimized mealtime insulin dosing for fat and protein in type 1 diabetes: application of a model-based approach to derive insulin doses for open-loop diabetes management. Diabetes Care. 2016;39:1631–4.PubMedCrossRef
49.
go back to reference Smith T, Fuery M, Knight B, et al. In young people using insulin pump therapy an additional sixty percent of the mealtime insulin dose improves postprandial glycaemia following a high fat, high protein meal (abstract). Pediatr Diabetes. 2018;19:131–2. Smith T, Fuery M, Knight B, et al. In young people using insulin pump therapy an additional sixty percent of the mealtime insulin dose improves postprandial glycaemia following a high fat, high protein meal (abstract). Pediatr Diabetes. 2018;19:131–2.
50.
go back to reference Wolpert HA, Atakov-Castillo A, Smith SA, Steil GM. Dietary fat acutely increases glucose concentrations and insulin requirements in patients with type 1 diabetes: implications for carbohydrate-based bolus dose calculation and intensive diabetes management. Diabetes Care. 2013;36:810–6.PubMedPubMedCentralCrossRef Wolpert HA, Atakov-Castillo A, Smith SA, Steil GM. Dietary fat acutely increases glucose concentrations and insulin requirements in patients with type 1 diabetes: implications for carbohydrate-based bolus dose calculation and intensive diabetes management. Diabetes Care. 2013;36:810–6.PubMedPubMedCentralCrossRef
51.
go back to reference Smart CE, Evans M, O’Connell SM, et al. Both dietary protein and fat increase postprandial glucose excursions in children with type 1 diabetes, and the effect is additive. Diabetes Care. 2013;36:3897–902.PubMedPubMedCentralCrossRef Smart CE, Evans M, O’Connell SM, et al. Both dietary protein and fat increase postprandial glucose excursions in children with type 1 diabetes, and the effect is additive. Diabetes Care. 2013;36:3897–902.PubMedPubMedCentralCrossRef
52.
go back to reference Bell KJ, Fio CZ, Twigg S, et al. Amount and type of dietary fat, postprandial glycemia, and insulin requirements in type 1 diabetes: a randomized within-subject trial. Diabetes Care. 2020;43:59–66.PubMedCrossRef Bell KJ, Fio CZ, Twigg S, et al. Amount and type of dietary fat, postprandial glycemia, and insulin requirements in type 1 diabetes: a randomized within-subject trial. Diabetes Care. 2020;43:59–66.PubMedCrossRef
53.
go back to reference Dimosthenopoulos C, Liatis S, Kourpas E, et al. The beneficial short-term effects of a high-protein/low-carbohydrate diet on glycaemic control assessed by continuous glucose monitoring in patients with type 1 diabetes. Diabetes Obes Metab. 2021;23:1765–74.PubMedCrossRef Dimosthenopoulos C, Liatis S, Kourpas E, et al. The beneficial short-term effects of a high-protein/low-carbohydrate diet on glycaemic control assessed by continuous glucose monitoring in patients with type 1 diabetes. Diabetes Obes Metab. 2021;23:1765–74.PubMedCrossRef
54.
go back to reference Muntis FR, Smith-Ryan AE, Crandell J, et al. A High protein diet is associated with improved glycemic control following exercise among adolescents with type 1 diabetes. Nutrients. 2023;15:1981.PubMedPubMedCentralCrossRef Muntis FR, Smith-Ryan AE, Crandell J, et al. A High protein diet is associated with improved glycemic control following exercise among adolescents with type 1 diabetes. Nutrients. 2023;15:1981.PubMedPubMedCentralCrossRef
55.
go back to reference Slattery D, Amiel SA, Choudhary P. Optimal prandial timing of bolus insulin in diabetes management: a review. Diabet Med. 2018;35:306–16.PubMedCrossRef Slattery D, Amiel SA, Choudhary P. Optimal prandial timing of bolus insulin in diabetes management: a review. Diabet Med. 2018;35:306–16.PubMedCrossRef
57.
go back to reference Diabetes and Nutrition Study Group (DNSG) of the European Association for the Study of Diabetes (EASD). Evidence-based European recommendations for the dietary management of diabetes. Diabetologia. 2023;66(6):965–85.CrossRef Diabetes and Nutrition Study Group (DNSG) of the European Association for the Study of Diabetes (EASD). Evidence-based European recommendations for the dietary management of diabetes. Diabetologia. 2023;66(6):965–85.CrossRef
58.
go back to reference Strozyk S, Rogowicz-Frontczak A, Pilacinski S, LeThanh-Blicharz J, Koperska A, Zozulinska-Ziolkiewicz D. Influence of resistant starch resulting from the cooling of rice on postprandial glycemia in type 1 diabetes. Nutr Diabetes. 2022;12(1):21.PubMedPubMedCentralCrossRef Strozyk S, Rogowicz-Frontczak A, Pilacinski S, LeThanh-Blicharz J, Koperska A, Zozulinska-Ziolkiewicz D. Influence of resistant starch resulting from the cooling of rice on postprandial glycemia in type 1 diabetes. Nutr Diabetes. 2022;12(1):21.PubMedPubMedCentralCrossRef
59.
go back to reference Cheng LJ, Jiang Y, Wu VX, Wang W. A systematic review and meta-analysis: vinegar consumption on glycaemic control in adults with type 2 diabetes mellitus. J Adv Nurs. 2020;76(2):459–74.PubMedCrossRef Cheng LJ, Jiang Y, Wu VX, Wang W. A systematic review and meta-analysis: vinegar consumption on glycaemic control in adults with type 2 diabetes mellitus. J Adv Nurs. 2020;76(2):459–74.PubMedCrossRef
60.
go back to reference Atkinson FS, Cohen M, Lau K, Brand-Miller JC. Glycemic index and insulin index after a standard carbohydrate meal consumed with live kombucha: a randomised, placebo-controlled, crossover trial. Front Nutr. 2023;10:1036717.PubMedPubMedCentralCrossRef Atkinson FS, Cohen M, Lau K, Brand-Miller JC. Glycemic index and insulin index after a standard carbohydrate meal consumed with live kombucha: a randomised, placebo-controlled, crossover trial. Front Nutr. 2023;10:1036717.PubMedPubMedCentralCrossRef
61.
go back to reference Resmini E, Zarra E, Dotti S, et al. Impact on glycemia risk index and other metrics in type 1 adult patients switching to advanced hybrid closed-loop systems: a one-year real-life experience. Eur J Med Res. 2024;29(1):365.PubMedPubMedCentralCrossRef Resmini E, Zarra E, Dotti S, et al. Impact on glycemia risk index and other metrics in type 1 adult patients switching to advanced hybrid closed-loop systems: a one-year real-life experience. Eur J Med Res. 2024;29(1):365.PubMedPubMedCentralCrossRef
62.
go back to reference Crabtree TSJ, Griffin TP, Yap YW, ABCD Closed-Loop Audit Contributors, et al. hybrid closed-loop therapy in adults with type 1 diabetes and above-target HbA1c: a real-world observational study. Diabetes Care. 2023;46(10):1831–8.PubMedPubMedCentralCrossRef Crabtree TSJ, Griffin TP, Yap YW, ABCD Closed-Loop Audit Contributors, et al. hybrid closed-loop therapy in adults with type 1 diabetes and above-target HbA1c: a real-world observational study. Diabetes Care. 2023;46(10):1831–8.PubMedPubMedCentralCrossRef
63.
go back to reference Ng SM, Wright NP, Yardley D, et al. Real world use of hybrid-closed loop in children and young people with type 1 diabetes mellitus-a National Health Service pilot initiative in England. Diabet Med. 2023;40(2): e15015.PubMedCrossRef Ng SM, Wright NP, Yardley D, et al. Real world use of hybrid-closed loop in children and young people with type 1 diabetes mellitus-a National Health Service pilot initiative in England. Diabet Med. 2023;40(2): e15015.PubMedCrossRef
64.
go back to reference Bombaci B, Passanisi S, Alibrandi A, et al. One-year real-world study on comparison among different continuous subcutaneous insulin infusion devices for the management of pediatric patients with type 1 diabetes: the supremacy of hybrid closed-loop systems. Int J Environ Res Public Health. 2022;19(16):10293.PubMedPubMedCentralCrossRef Bombaci B, Passanisi S, Alibrandi A, et al. One-year real-world study on comparison among different continuous subcutaneous insulin infusion devices for the management of pediatric patients with type 1 diabetes: the supremacy of hybrid closed-loop systems. Int J Environ Res Public Health. 2022;19(16):10293.PubMedPubMedCentralCrossRef
65.
go back to reference Moreno-Fernandez J, Chico A, Martínez-Brocca MA, SPAIP Registry Study, et al. Continuous subcutaneous insulin infusion in type 1 diabetes mellitus patients: results from the Spanish National Registry. Diabetes Technol Ther. 2022;24(12):898–906.PubMedCrossRef Moreno-Fernandez J, Chico A, Martínez-Brocca MA, SPAIP Registry Study, et al. Continuous subcutaneous insulin infusion in type 1 diabetes mellitus patients: results from the Spanish National Registry. Diabetes Technol Ther. 2022;24(12):898–906.PubMedCrossRef
66.
go back to reference Jacobsen LM, Sherr JL, Considine E, ADA/EASD PMDI, et al. Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review. Commun Med (Lond). 2023;3(1):132.PubMedPubMedCentralCrossRef Jacobsen LM, Sherr JL, Considine E, ADA/EASD PMDI, et al. Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review. Commun Med (Lond). 2023;3(1):132.PubMedPubMedCentralCrossRef
67.
go back to reference Boughton CK, Hartnell S, Allen JM, Fuchs J, Hovorka R. Training and support for hybrid closed-loop therapy. J Diabetes Sci Technol. 2022;16(1):218–23.PubMedCrossRef Boughton CK, Hartnell S, Allen JM, Fuchs J, Hovorka R. Training and support for hybrid closed-loop therapy. J Diabetes Sci Technol. 2022;16(1):218–23.PubMedCrossRef
68.
go back to reference Leelarathna L, Choudhary P, Wilmot EG, et al. Hybrid closed-loop therapy: where are we in 2021? Diabetes Obes Metab. 2021;23(3):655–60.PubMedCrossRef Leelarathna L, Choudhary P, Wilmot EG, et al. Hybrid closed-loop therapy: where are we in 2021? Diabetes Obes Metab. 2021;23(3):655–60.PubMedCrossRef
69.
go back to reference Mauricio D, Hramiak I. Second-generation insulin analogues - A review of recent real-world data and forthcoming head-to-head comparisons. Eur Endocrinol. 2018;14(Suppl1):2–9.PubMedPubMedCentral Mauricio D, Hramiak I. Second-generation insulin analogues - A review of recent real-world data and forthcoming head-to-head comparisons. Eur Endocrinol. 2018;14(Suppl1):2–9.PubMedPubMedCentral
70.
go back to reference Black JE, Harris SB, Ryan BL, Zou G, Ratzki-Leewing A. Real-world effects of second-generation versus earlier intermediate/basal insulin analogues on rates of hypoglycemia in adults with type 1 and 2 diabetes (iNPHORM, US). Diabetes Ther. 2023;14(8):1299–317.PubMedPubMedCentralCrossRef Black JE, Harris SB, Ryan BL, Zou G, Ratzki-Leewing A. Real-world effects of second-generation versus earlier intermediate/basal insulin analogues on rates of hypoglycemia in adults with type 1 and 2 diabetes (iNPHORM, US). Diabetes Ther. 2023;14(8):1299–317.PubMedPubMedCentralCrossRef
71.
go back to reference Battelino T, Edelman SV, Nishimura R, Bergenstal RM. Comparison of second-generation basal insulin analogs: a review of the evidence from continuous glucose monitoring. Diabetes Technol Ther. 2021;23(1):20–30.PubMedCrossRef Battelino T, Edelman SV, Nishimura R, Bergenstal RM. Comparison of second-generation basal insulin analogs: a review of the evidence from continuous glucose monitoring. Diabetes Technol Ther. 2021;23(1):20–30.PubMedCrossRef
72.
go back to reference Robinson S, Newson RS, Liao B, Kennedy-Martin T, Battelino T. Missed and mistimed insulin doses in people with diabetes: a systematic literature review. Diabetes Technol Ther. 2021;23(12):844–56.PubMedCrossRef Robinson S, Newson RS, Liao B, Kennedy-Martin T, Battelino T. Missed and mistimed insulin doses in people with diabetes: a systematic literature review. Diabetes Technol Ther. 2021;23(12):844–56.PubMedCrossRef
73.
go back to reference Becker RH, Nowotny I, Teichert L, Bergmann K, Kapitza C. Low within- and between-day variability in exposure to new insulin glargine 300 U/ml. Diabetes Obes Metab. 2015;17(3):261–7.PubMedPubMedCentralCrossRef Becker RH, Nowotny I, Teichert L, Bergmann K, Kapitza C. Low within- and between-day variability in exposure to new insulin glargine 300 U/ml. Diabetes Obes Metab. 2015;17(3):261–7.PubMedPubMedCentralCrossRef
74.
go back to reference Vora J, Cariou B, Evans M, et al. Clinical use of insulin degludec. Diabetes Res Clin Pract. 2015;109(1):19–31.PubMedCrossRef Vora J, Cariou B, Evans M, et al. Clinical use of insulin degludec. Diabetes Res Clin Pract. 2015;109(1):19–31.PubMedCrossRef
75.
go back to reference Heitman K, Thomas SE, Kelly O, et al. Snacks contribute considerably to total dietary intakes among adults stratified by glycemia in the United States. PLoS Glob Public Health. 2023;3(10): e0000802.PubMedPubMedCentralCrossRef Heitman K, Thomas SE, Kelly O, et al. Snacks contribute considerably to total dietary intakes among adults stratified by glycemia in the United States. PLoS Glob Public Health. 2023;3(10): e0000802.PubMedPubMedCentralCrossRef
76.
77.
go back to reference Chico A, Aguilera E, Ampudia-Blasco FJ, et al. Clinical approach to flash glucose monitoring: an expert recommendation. J Diabetes Sci Technol. 2020;14(1):155–64.PubMedCrossRef Chico A, Aguilera E, Ampudia-Blasco FJ, et al. Clinical approach to flash glucose monitoring: an expert recommendation. J Diabetes Sci Technol. 2020;14(1):155–64.PubMedCrossRef
78.
go back to reference Unsworth R, Avari P, Lett AM, Oliver N, Reddy M. Adaptive bolus calculators for people with type 1 diabetes: a systematic review. Diabetes Obes Metab. 2023;25(11):3103–13.PubMedCrossRef Unsworth R, Avari P, Lett AM, Oliver N, Reddy M. Adaptive bolus calculators for people with type 1 diabetes: a systematic review. Diabetes Obes Metab. 2023;25(11):3103–13.PubMedCrossRef
79.
go back to reference Gupta S, Ramteke H, Gupta S, Gupta S, Gupta KS. Are people with type 1 diabetes mellitus appropriately following insulin injection technique practices: a review of literature. Cureus. 2024;16(1): e51494.PubMedPubMedCentral Gupta S, Ramteke H, Gupta S, Gupta S, Gupta KS. Are people with type 1 diabetes mellitus appropriately following insulin injection technique practices: a review of literature. Cureus. 2024;16(1): e51494.PubMedPubMedCentral
80.
go back to reference Lombardo F, Bombaci B, Alibrandi A, Visalli G, Salzano G, Passanisi S. The impact of insulin-induced lipodystrophy on glycemic variability in pediatric patients with type 1 diabetes. Children (Basel). 2022;9(7):1087.PubMed Lombardo F, Bombaci B, Alibrandi A, Visalli G, Salzano G, Passanisi S. The impact of insulin-induced lipodystrophy on glycemic variability in pediatric patients with type 1 diabetes. Children (Basel). 2022;9(7):1087.PubMed
81.
go back to reference Gradel AKJ, Porsgaard T, Lykkesfeldt J, et al. Factors affecting the absorption of subcutaneously administered insulin: effect on variability. J Diabetes Res. 2018;2018:1205121.PubMedPubMedCentralCrossRef Gradel AKJ, Porsgaard T, Lykkesfeldt J, et al. Factors affecting the absorption of subcutaneously administered insulin: effect on variability. J Diabetes Res. 2018;2018:1205121.PubMedPubMedCentralCrossRef
82.
go back to reference Tejera-Pérez C, Chico A, Azriel-Mira S, Lardiés-Sánchez B, Gomez-Peralta F, Área de Diabetes-SEEN. Connected insulin pens and caps: an expert’s recommendation from the area of diabetes of the Spanish Endocrinology and Nutrition Society (SEEN). Diabetes Ther. 2023;14(7):1077–91.PubMedPubMedCentralCrossRef Tejera-Pérez C, Chico A, Azriel-Mira S, Lardiés-Sánchez B, Gomez-Peralta F, Área de Diabetes-SEEN. Connected insulin pens and caps: an expert’s recommendation from the area of diabetes of the Spanish Endocrinology and Nutrition Society (SEEN). Diabetes Ther. 2023;14(7):1077–91.PubMedPubMedCentralCrossRef
83.
go back to reference Heinemann L, Schnell O, Gehr B, Schloot NC, Görgens SW, Görgen C. Digital diabetes management: a literature review of smart insulin pens. J Diabetes Sci Technol. 2022;16(3):587–95.PubMedCrossRef Heinemann L, Schnell O, Gehr B, Schloot NC, Görgens SW, Görgen C. Digital diabetes management: a literature review of smart insulin pens. J Diabetes Sci Technol. 2022;16(3):587–95.PubMedCrossRef
84.
go back to reference Déniz-García A, Díaz-Artiles A, Saavedra P, Alvarado-Martel D, Wägner AM, Boronat M. Impact of anxiety, depression and disease-related distress on long-term glycaemic variability among subjects with type 1 diabetes mellitus. BMC Endocr Disord. 2022;22(1):122.PubMedPubMedCentralCrossRef Déniz-García A, Díaz-Artiles A, Saavedra P, Alvarado-Martel D, Wägner AM, Boronat M. Impact of anxiety, depression and disease-related distress on long-term glycaemic variability among subjects with type 1 diabetes mellitus. BMC Endocr Disord. 2022;22(1):122.PubMedPubMedCentralCrossRef
85.
go back to reference Brandt R, Park M, Wroblewski K, Quinn L, Tasali E, Cinar A. Sleep quality and glycaemic variability in a real-life setting in adults with type 1 diabetes. Diabetologia. 2021;64(10):2159–69.PubMedPubMedCentralCrossRef Brandt R, Park M, Wroblewski K, Quinn L, Tasali E, Cinar A. Sleep quality and glycaemic variability in a real-life setting in adults with type 1 diabetes. Diabetologia. 2021;64(10):2159–69.PubMedPubMedCentralCrossRef
Metadata
Title
Proposed Practical Guidelines to Improve Glycaemic Management by Reducing Glycaemic Variability in People with Type 1 Diabetes Mellitus
Authors
Alejandra de Torres-Sánchez
Francisco J. Ampudia-Blasco
Serafín Murillo
Virginia Bellido
Antonio J. Amor
Pedro Mezquita-Raya
Publication date
28-02-2025
Publisher
Springer Healthcare
Published in
Diabetes Therapy / Issue 4/2025
Print ISSN: 1869-6953
Electronic ISSN: 1869-6961
DOI
https://doi.org/10.1007/s13300-025-01703-0

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