Condition

Prediabetes and glycemic control: the role of carbohydrate awareness in delaying progression

By María Gutiérrez, RD, CDCES · Last updated April 7, 2026 · Medically reviewed April 7, 2026 by Robert Chen, MD, FACE

The clinical context

Prediabetes is the operational category for elevated glycemic markers (impaired fasting glucose, impaired glucose tolerance, or HbA1c in the prediabetic range) below the diagnostic threshold for type 2 diabetes. Approximately one in three adults in many high-income countries meets one or more of the criteria; the absolute progression rate to diabetes varies but is non-trivial in untreated cohorts.

The strongest single intervention for delaying or preventing progression is structured lifestyle modification, exemplified by the Diabetes Prevention Program (DPP) and its derivatives. The intervention combines moderate weight loss (typically 5–7% of body weight), increased physical activity, and dietary modification.

Carbohydrate awareness as a tracking-supported behavior change

In the DPP and its derivatives, carbohydrate awareness is one of several dietary modifications. The editorial team’s position is that for users in prediabetes, precision carbohydrate counting is not the relevant frame; carbohydrate awareness as part of an evidence-based program is.

What this means in practice:

Tracking carbohydrate intake alongside post-meal glucose response (where the user has access to capillary glucose monitoring or, increasingly, CGM through over-the-counter access) supports recognition of the meals that drive post-prandial peaks.
The substitution of low-glycemic-load alternatives for high-glycemic-load staples flattens post-prandial curves at constant total carbohydrate. This is the substitution work most prediabetes dietitian-led programs emphasize.
Total energy intake matters because moderate weight loss is the central goal of the DPP framework; carbohydrate restriction is one mechanism of energy reduction, not the only one.

Application choice in prediabetes

Editorial recommendations for prediabetes:

For users in structured behavioral programs (DPP-affiliated, employer-sponsored, or insurance-sponsored): the program’s recommended application is usually the working tool. One Drop is common in employer-sponsored deployments.
For self-directed users with a nutrition-literate orientation: Cronometer is a strong choice for tracking macronutrients alongside metabolic-syndrome markers.
For users with a body-composition focus and adaptive coaching preference: MacroFactor.
For users following clinician-supervised low-carbohydrate protocols: Carb Manager.

The editorial team’s position is that prediabetes is the segment of the diabetes-app audience for whom flexibility in tool choice is the largest. Many tools work; the binding constraint is adherence to whichever tool the user can sustain.

Over-the-counter CGM and prediabetes

Recent FDA clearances of over-the-counter CGM devices (Abbott Lingo, Dexcom Stelo) have brought CGM access to the prediabetes audience. The clinical positioning of these devices is distinct from medical-device CGM:

they are intended for general wellness and lifestyle awareness, not for clinical management;
they are not regulated as medical devices for diabetes management;
they have shorter wear durations and modified accuracy specifications relative to the medical-grade Dexcom G7 or FreeStyle Libre 3.

For prediabetes users, OTC CGM can be a useful learning tool for visualizing the post-prandial response to specific meals. The editorial team’s position is that OTC CGM should be paired with clinician interpretation if the user is using it to inform health decisions; uncontextualized CGM data can mislead users about clinically appropriate targets.

Limits

This article is conceptual. Specific medical decisions, including the use of medications for diabetes prevention (metformin in selected high-risk individuals) and the interpretation of OTC CGM data, belong with the user’s primary care or endocrinology clinician.

References

Diabetes Prevention Program Research Group. (2024). Long-term outcomes of structured lifestyle intervention. Diabetes Care.
American Diabetes Association. (2026). Standards of Care in Diabetes — 2026: Section on prevention. Diabetes Care.
AACE. (2024). Comprehensive Type 2 Diabetes Management Algorithm. Endocrine Practice.
Bender, M. S., & Cooper, B. A. (2024). Digital health coaching in metabolic disease: a randomized trial. JMIR Diabetes.
O’Connor, L. M., & Caunt, S. (2024). Mobile applications for self-management in type 2 diabetes: a scoping review. Diabetic Medicine.
Heinemann, L., & Klonoff, D. C. (2024). Continuous glucose monitoring: present and future. Journal of Diabetes Science and Technology.

Reviewed by Robert Chen, MD, FACE on April 7, 2026. Reviews every clinical guidance article before publication.

Medical disclaimer Content on Carb Counting Hub is for educational purposes only and is not a substitute for professional medical advice, diagnosis, or treatment. Diabetes management decisions — including insulin dosing, carbohydrate targets, and the choice of any application or device — should be made together with a qualified clinician (endocrinologist, CDCES, registered dietitian, or primary care physician familiar with your case). Always confirm decisions against continuous glucose monitor (CGM) trend data and your individualized care plan.