Science/Knowledge Base/Metabolic Health
TechniqueMetabolic Health

What a healthy adult's sensor shows

mmol/LImportance · CoreFrom a wearable · Measured
Last reviewed October 2026
v1

In one sentence

What research sensors recorded on people without diabetes, which is the only honest answer to "is my number normal": a set of published reference points, with their spread, from the studies that measured them.

The reference study

In the largest study with a current-generation sensor, 153 healthy people without diabetes, aged 7 to 80 and not obese, wore a blinded Dexcom G6 for up to ten days across twelve centers. Their mean glucose was 5.4 to 5.5 mmol/L (98 to 99 mg/dL) in every age group except the over-sixties, where it was 5.8. The median share of the day between 3.9 and 7.8 mmol/L was 96 percent, with the middle half of participants between 93 and 98. The within-person coefficient of variation averaged 17 percent. Time above 7.8 was a median 2.1 percent of the day, about 30 minutes; time below 3.9 a median 1.1 percent, about 15 minutes (Shah 2019). Those are the numbers VT shows beside your own month, labeled as the study's.

What they do not say

They are medians and means of a group, and the group was healthy by the usual tests, not by any stricter standard. When Stanford researchers put sensors on 57 adults and looked at the shape of the day rather than its average, glucose in people classed as normal by standard measures spent about 15 percent of the time in the range used to define prediabetes and 2 percent in the diabetic range (Hall 2018). Two people with the same mean can have very different days. And the response to a given meal varies enormously between people: in 1,002 British adults, including identical twins, person-to-person variation in the glucose response to identical meals was 68 percent (Berry 2020). A reference point tells you where a population sat; your month tells you where you sit.

How Vitality Tracker uses it

As context only. Your summaries show the reference figures beside your own, with the source named, and nothing in VT scores you against them: the Vitality Score reads your mean glucose through its own curve, and the meal library compares your meals with your meals. VT never calls a day normal or abnormal; it marks a figure green when it meets the published consensus target, and colors the trace by fixed bands.

How far to trust the number

As far as a well-run study of 153 people on one sensor model goes: the figures are reliable as a picture of that group, and a different sensor or an older or heavier group would shift them by a few tenths.

The methodformula and algorithm

Summary statistics from Shah 2019, Table 2, for the whole cohort; VT displays the all-ages figures with the over-60 mean noted.

Sources

  1. Shah VN, et al. Continuous glucose monitoring profiles in healthy nondiabetic participants: a multicenter prospective study. J Clin Endocrinol Metab 2019;104:4356–64. doi:10.1210/jc.2018-02763
  2. Hall H, et al. Glucotypes reveal new patterns of glucose dysregulation. PLoS Biol 2018;16:e2005143. doi:10.1371/journal.pbio.2005143
  3. Berry SE, et al. Human postprandial responses to food and potential for precision nutrition. Nat Med 2020;26:964–73. doi:10.1038/s41591-020-0934-0.
Last reviewed October 2026 · v1Found an error? Tell us →

Vitality Tracker describes and tracks physiological measures recorded by your own consumer devices against your own history, for general wellness and for discussion with a health professional. It does not diagnose, predict or monitor any disease.