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As wearable health technology expands, continuous glucose monitors (CGMs) are entering the fitness space to show how workouts affect blood glucose patterns. A CGM is a small subcutaneous sensor that measures glucose in interstitial fluid in near real time. Originally designed for diabetes care, these devices now help athletes observe how fueling and training choices shape their glucose trace.
Unlike a single fingerstick reading, CGMs provide a continuous curve throughout the day. That curve can reveal how steady—or volatile—energy availability is during training. For recreational and competitive athletes alike, repeatable patterns often matter more than one-off spikes or dips. Endurance Training and Glucose Stability During moderate aerobic activity—cycling, jogging, hiking—glucose often trends gradually downward as working muscle draws on circulating fuel. When the decline is smooth and controlled, athletes frequently report steady pacing and sustained output. When the trace falls sharply, it may coincide with fatigue or the familiar “bonk.” Athletes who rely heavily on pre-exercise carbohydrate sometimes begin sessions with a higher starting glucose and a steeper decline. In contrast, those adapted to lower-carbohydrate fueling patterns often display flatter traces with smaller swings. A more stable line can reflect greater metabolic flexibility, the ability to access fat and stored fuel efficiently, reducing dependence on frequent carbohydrate intake during longer sessions. High-Intensity Sessions Short, high-intensity or strength sessions commonly produce a temporary glucose rise due to adrenaline-driven hepatic glucose release. This response occurs regardless of diet, but the magnitude of the spike can vary. Athletes with steadier baseline glucose patterns often show smaller oscillations and faster return to baseline after intervals. Fuel Timing and Trace Shape A rising line before exercise often reflects recent carbohydrate intake, while a steadier starting point may follow a lighter or lower-carbohydrate meal. Some athletes notice that large pre-workout carbohydrate loads lead to sharper swings mid-session, whereas balanced or lower-carbohydrate approaches yield smoother curves and fewer mid-workout drops. Over time, many athletes find that minimizing dramatic peaks and valleys supports more predictable performance, steadier perceived effort, and less reactive fueling during training. After Exercise Post-exercise traces also vary. High-glycemic recovery meals can produce noticeable spikes, while balanced meals emphasizing protein, micronutrients, and moderate carbohydrate tend to generate smoother recovery curves. A flatter post-training profile may align with reduced energy crashes later in the day. Using CGMs Wisely CGMs are most valuable for identifying repeatable patterns. A consistently stable trace across similar sessions may suggest efficient fuel utilization and good metabolic resilience. Large, frequent swings can prompt thoughtful adjustments in meal composition, timing, or training intensity. It is important to remember that CGMs measure interstitial glucose and may lag during rapid changes. They complement, rather than replace, heart rate data, perceived exertion, and professional guidance. For non-diabetic users, the goal is not to eliminate normal fluctuations but to observe how fueling strategies influence energy stability. Many athletes discover that steadier glucose patterns, often achieved with more balanced or lower-carbohydrate approaches, correlate with smoother training sessions and fewer performance dips. Anyone experiencing unusual symptoms or concerning readings should consult a medical professional. Used thoughtfully, CGMs can illuminate trends that support both metabolic health and consistent athletic performance.
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AuthorDominic D’Agostino serves the University of South Florida as assistant professor of molecular pharmacology and physiology. Archives
June 2025
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