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Glucose sensors

Do you need a CGM? Why glucose isn't the only number to track

By GyroscopeUpdated November 15, 202610 sources
On this page
  1. Why sensors feel so important
  2. The counterpoints
  3. The numbers that predict more
  4. When a sensor is a good idea

Glucose is one signal, and for people without diabetes it’s not the strongest one. No trial has shown that wearing a sensor improves health if you don’t have diabetes. Meanwhile your weight, your fitness, your blood pressure and your sleep each predict your future health more than the shape of the hill after lunch. A few weeks with a sensor can teach you about your meals, and then it should come off rather than become the scoreboard.

What we’d do

Track the boring numbers first: a yearly A1c and fasting glucose, your weight or waist, your blood pressure, your sleep and something that shows your fitness. Wear a sensor for a couple of weeks to learn how your meals behave, then take it off. If the curves make you anxious or push you toward odd eating, stop.

Why sensors feel so important

A sensor gives you a number every few minutes, a graph that moves while you watch and a score each evening. That makes glucose feel like the main thing going on in your body. Feeds full of spike charts add to it.

But a number you see constantly isn’t the same as the number that predicts the most. Some of the measures that predict health best change slowly and get checked rarely.

The counterpoints

The evidence for wearing one is thin. A 2026 review of 12 studies in adults without diabetes found sensors may help some diet changes inside a program, but “large, durable benefits and stand-alone efficacy are not established.” The certainty was low for diet results and very low for everything else, including whether sensors cause anxiety.

The number is off. In 15 healthy adults, a popular sensor ran about 16 mg/dL above fingertip blood and overstated the time above 140 about 4-fold. Sensor numbers are good for comparing one meal with another and loose for anything else.

Hills are normal. Healthy people spent about 30 minutes a day above 140 on a sensor. Nobody has shown that flattening normal hills prevents disease in people without diabetes.

A flat line isn’t the same as a healthy meal. Glucose only tracks carbs. Fried foods can make a smaller hill than a boiled potato (french fries 63 on the GI scale, boiled potato 78) and peanut M&M’s tested at 33, lower than a bowl of rolled oats at 55, because fat slows the sugar. If you chase the flattest curve, you can end up eating worse.

The numbers that predict more

What predicted risk in big studies
  1. Low fitness vs elite fitnessrisk of death, 122,007 adults 5x higher
  2. Smokingsame study, for comparison 1.4x higher
  3. Diabetessame study, for comparison 1.4x higher

Mandsager and others, JAMA Network Open, 2018: 122,007 adults who took a treadmill test, followed a median 8.4 years. Observational, so it shows a link.

Fitness. In 122,007 adults who took a treadmill test at the Cleveland Clinic, the least fit had about 5 times the risk of death of the fittest over about 8 years, more than smoking or diabetes carried in the same study. vo2max.guide covers why fitness predicts so much.

Weight. In the biggest diabetes prevention trial, each kilogram lost went with 16% lower diabetes risk. A scale and a tape measure tell you more about your diabetes risk than a sensor does. bodyfat.guide has the guide to losing fat.

Blood pressure and blood fats. Insulin resistance travels with high blood pressure and unhealthy cholesterol and triglycerides, according to the NIDDK. bloodpressure.guide’s checker and cholesterol.guide’s guide cover those.

Sleep. A week of 5-hour nights cut insulin sensitivity by 11% in healthy men. hrv.guide covers how to recover better.

Your lab A1c. More than 2 in 5 American adults have prediabetes and 8 in 10 of them don’t know. One blood test tells you more than a month of sensor data. lifespan.guide ranks what adds the most years, and blood sugar is one line on a long list.

When a sensor is a good idea

Two weeks to learn which of your own meals make big hills, a check on whether walking after dinner works for you, or a nudge to change a habit you already know about. For that, it’s a useful tool. What a CGM shows about your meals has the experiment, and is every blood sugar spike bad for you? covers the hills themselves.

10 sources
  1. Makkena HB and others, Behavioral and psychosocial effects of participant-visible continuous glucose monitoring in adults without diabetes: a systematic review, Medicina, 2026pmc.ncbi.nlm.nih.gov
  2. Hutchins KM and others, Continuous glucose monitor overestimates glycemia, with the magnitude of bias varying by postprandial test and individual, American Journal of Clinical Nutrition, 2025pmc.ncbi.nlm.nih.gov
  3. Shah VN and others, Continuous glucose monitoring profiles in healthy nondiabetic participants, Journal of Clinical Endocrinology and Metabolism, 2019pmc.ncbi.nlm.nih.gov
  4. Mandsager K and others, Association of cardiorespiratory fitness with long-term mortality among adults undergoing exercise treadmill testing, JAMA Network Open, 2018pmc.ncbi.nlm.nih.gov
  5. Hamman RF and others, Effect of weight loss with lifestyle intervention on risk of diabetes, Diabetes Care, 2006pubmed.ncbi.nlm.nih.gov
  6. National Institute of Diabetes and Digestive and Kidney Diseases, Insulin resistance and prediabetesniddk.nih.gov
  7. Buxton OM and others, Sleep restriction for 1 week reduces insulin sensitivity in healthy men, Diabetes, 2010pubmed.ncbi.nlm.nih.gov
  8. CDC, Prediabetes: could it be you? Updated February 17, 2026cdc.gov
  9. Atkinson FS, Foster-Powell K and Brand-Miller JC, International tables of glycemic index and glycemic load values, Diabetes Care, 2008pmc.ncbi.nlm.nih.gov
  10. University of Sydney, GI Database: M&M's peanut (Australia, 1997), accessed November 15, 2026glycemicindex.com
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