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Should you wear a glucose monitor if you don't have diabetes?

Not provenEvidence: Trials and observed

No trials show health benefits for people without diabetes, and the readings can be off.

What you hear: “Everyone should wear a continuous glucose monitor to catch and avoid harmful blood sugar spikes, even without diabetes.”

What the studies found

In 153 healthy people, glucose stayed between 70 and 140 mg/dL about 96% of the time, with about 30 minutes a day above 140, so short rises after meals are normal. A 2024 review of 25 trials found monitor feedback lowered HbA1c by 0.28%, but most were in people with diabetes, and weight did not change. An independent test of over-the-counter monitors in 39 young adults without diabetes found readings were off by about 13% on average and less reliable right after sugary drinks.

Take care: Over-the-counter readings can be off by more than 15%, so they should not be used to self-diagnose diabetes or low blood sugar.

What you could do

A monitor can be an interesting experiment, but for people without diabetes a regular HbA1c or fasting glucose test is the proven check.

Get your longevity score and see which everyday habits make the biggest difference for you.

Not medical advice. General information from published studies, not a diagnosis or a treatment plan. Talk with your doctor before starting a supplement or changing a medicine, especially if you are pregnant, take other medicines or have a health condition.

How we judged it

Not proven: Not enough good human evidence yet, either way. We judge the claim as it is usually said online, not the habit itself. Trials assign people at random, so they can show cause; observed studies follow people and show a link, not proof. Last checked: October 2026.

The studies, in their own words

  1. Shah et al. J Clin Endocrinol Metab 2019
    The median time between 70 to 140 mg/dL (3.9 to 7.8 mmol/L) was 96% (interquartile range, 93 to 98).
  2. Richardson et al. Int J Behav Nutr Phys Act 2024
    Most studies were conducted in adults with type 2 diabetes (n = 17/25; 68%), followed by type 1 diabetes (n = 3/25, 12%), gestational diabetes (n = 3/25, 12%), and obesity (n = 3/25, 12%).
  3. Prakash et al. J Diabetes Sci Technol 2026
    Overall mean absolute relative difference (MARD) was 12.9%, mean bias -4.8 mg/dL, and within-15%/15-mg/dL agreement 66.5%.

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