Continuous Glucose Monitor
Continuous glucose data can expose patterns that spot checks miss. The useful part is not the graph; it is whether the pattern changes a decision about food, exercise, sleep, medication, or nothing.
The Science
What This Test Measures
A continuous glucose monitor (CGM) reads your interstitial glucose every 1–5 minutes, 24 hours a day. Over two weeks, that gives you thousands of data points — a resolution that a fasting glucose or even an HbA1c can never match.
With a CGM, you can look for glucose patterns after meals, exercise, sleep, or stress. Interpretation is more credible when a pattern repeats under comparable conditions and is considered with symptoms and other clinical data.
This is most useful when standard labs look "normal" but the story does not: energy crashes, insulin resistance, prediabetes, late meals, alcohol, hard training, or sleep that is not as harmless as it feels.
Interpretation
Patterns a CGM Can Surface
Glucose responses after different meals
Overnight and early-morning glucose trends
Variability that an average such as HbA1c can hide
The timing of exercise relative to glucose changes
Possible relationships with sleep, stress, or illness
Whether an apparent pattern repeats often enough to act on
Using the Data
How to Think About It
01
Define the question
Decide whether you are investigating symptoms, known dysglycemia, medication effects, or a specific behavior.
02
Keep life recognizable
Normal meals, exercise, sleep, and stress reveal more than a short period of artificially perfect behavior.
03
Add useful context
Food, activity, sleep, symptoms, and timing help distinguish a repeatable pattern from a single noisy curve.
04
Test one change
Use the pattern to form a modest experiment, then judge whether it improves a meaningful health outcome.
Is This Right For You?
Who This Is For
Your labs look acceptable but your glucose story still feels off
You have pre-diabetes or insulin resistance and want real data
You experience energy crashes, brain fog, or unexplained fatigue
You're an athlete who wants to dial in fueling and recovery
You want to see whether glucose patterns repeat across comparable meals
You're curious whether your "healthy" diet is actually metabolically healthy
Interpretation should account for lag, sensor error, and day-to-day variability; the significance of an isolated excursion is uncertain. CGM data should not be used by itself to diagnose a condition or make urgent medication decisions.