REVIEW OF “CONTINUOUS GLUCOSE MONITORING AND GLYCEMIC METRICS DURING PHYSICAL ACTIVITY IN INDIVIDUALS WITH TYPE 1 DIABETES”

Authors

DOI:

https://doi.org/10.31435/ijitss.2(50).2026.5362

Keywords:

Continuous Glucose Monitoring, Type 1 Diabetes, Physical Activity, Time in Range, Glycemic Variability, Exercise, Diabetes Technology

Abstract

Introduction: Type 1 diabetes requires continuous monitoring of blood glucose levels and careful adjustment of insulin therapy to maintain optimal metabolic control. Physical activity is widely recommended for individuals with type 1 diabetes due to its beneficial effects on metabolic health and cardiovascular risk reduction; however, exercise may lead to significant fluctuations in blood glucose levels, including both hypoglycemia and hyperglycemia. Continuous glucose monitoring (CGM) systems have emerged as an important technological advancement that enables real-time assessment of glucose variability and supports safer participation in physical activity. The glycemic impact of exercise differs according to exercise type, with aerobic activity more often associated with falling glucose levels and anaerobic or mixed activity showing greater variability [5].

Objective: To review the current scientific literature on the use of continuous glucose monitoring systems and CGM-derived glycemic metrics during physical activity in individuals with type 1 diabetes.

Methods: A narrative review of scientific literature was conducted using PubMed/MEDLINE, Scopus, and Embase databases. Clinical studies, review articles, and consensus statements published between 1993 and 2026 were analyzed. The review focused on the role of CGM systems and glycemic metrics, such as Time in Range (TIR), Time Below Range (TBR), and Time Above Range (TAR), in assessing glucose control during physical activity.

Conclusions: Continuous glucose monitoring systems significantly improve the ability to assess glycemic variability and support safer management of physical activity in individuals with type 1 diabetes. The use of CGM-derived metrics, particularly Time in Range, provides valuable insights into glucose dynamics during exercise and may contribute to better therapy individualization. Integration of CGM technology with modern diabetes management strategies represents an important step toward improving metabolic control and enhancing patient safety.

References

Diabetes Control and Complications Trial Research Group. (1993). The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The New England Journal of Medicine, 329, 977–986. https://doi.org/10.1056/NEJM199309303291401

Lind, M., Svensson, A. M., Kosiborod, M., Gudbjörnsdottir, S., Pivodic, A., Wedel, H., et al. (2014). Glycemic control and excess mortality in type 1 diabetes. The New England Journal of Medicine, 371, 1972–1982. https://doi.org/10.1056/NEJMoa1408214

Foster, N. C., Beck, R. W., Miller, K. M., Clements, M. A., Rickels, M. R., DiMeglio, L. A., et al. (2019). State of type 1 diabetes management and outcomes from the T1D Exchange in 2016–2018. Diabetes Technology & Therapeutics, 21(2), 66–72. https://doi.org/10.1089/dia.2018.0384

Colberg, S. R., Sigal, R. J., Yardley, J. E., Riddell, M. C., Dunstan, D. W., Dempsey, P. C., et al. (2016). Physical activity/exercise and diabetes: A position statement of the American Diabetes Association. Diabetes Care, 39(11), 2065–2079. https://doi.org/10.2337/dc16-1728

Riddell, M. C., Gallen, I. W., Smart, C. E., Taplin, C. E., Adolfsson, P., Lumb, A. N., et al. (2017). Exercise management in type 1 diabetes: A consensus statement. The Lancet Diabetes & Endocrinology, 5(5), 377–390. https://doi.org/10.1016/S2213-8587(17)30014-1

Battelino, T., Danne, T., Bergenstal, R. M., Amiel, S. A., Beck, R., Biester, T., et al. (2019). Clinical targets for continuous glucose monitoring data interpretation: Recommendations from the international consensus on time in range. Diabetes Care, 42(8), 1593–1603. https://doi.org/10.2337/dci19-0028

Dovc, K., & Battelino, T. (2021). Time in range centered diabetes care. Clinical Pediatric Endocrinology, 30(1), 1–10. https://doi.org/10.1297/cpe.30.1

Polish Diabetes Association. (2026). Clinical recommendations for the management of diabetes 2026. Current Topics in Diabetes. https://issuu.com/termedia/docs/current_topics_in_diabetes_1_2026_reprint_boehring

Houlder, S. K., & Yardley, J. E. (2018). Continuous glucose monitoring and exercise in type 1 diabetes: Past, present and future. Biosensors, 8(3), Article 73. https://doi.org/10.3390/bios8030073

Abdulrahman, A., Manhas, J., Linane, H., Gurney, M., Fitzgerald, C., & O’Sullivan, E. (2018). Use of continuous glucose monitoring for sport in type 1 diabetes. BMJ Open Sport & Exercise Medicine, 4, Article e000432. https://doi.org/10.1136/bmjsem-2018-000432

Bergenstal, R. M., Ahmann, A. J., Bailey, T., Beck, R. W., Bissen, J., Buckingham, B., et al. (2013). Recommendations for standardizing glucose reporting and analysis to optimize clinical decision making in diabetes: The ambulatory glucose profile (AGP). Diabetes Technology & Therapeutics, 15(3), 198–211. https://doi.org/10.1089/dia.2013.0051

Bally, L., Thabit, H., Hartnell, S., Andereggen, E., Ruan, Y., Wilinska, M. E., et al. (2018). Closed-loop insulin delivery for glycemic control in noncritical care. The New England Journal of Medicine, 379, 547–556. https://doi.org/10.1056/NEJMoa1805233

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Published

2026-06-25

How to Cite

Serafin, A., Kołodziej, A., Skalska, M., Wojtachnio, N., Strzyż, J. ., Rymska, K., & Starczyk, Z. (2026). REVIEW OF “CONTINUOUS GLUCOSE MONITORING AND GLYCEMIC METRICS DURING PHYSICAL ACTIVITY IN INDIVIDUALS WITH TYPE 1 DIABETES”. International Journal of Innovative Technologies in Social Science, 4(2(50). https://doi.org/10.31435/ijitss.2(50).2026.5362