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Living with type 2 without medication: thirty weeks of sensor data

Author: StoffwechselFitUpdated: July 2026Type: Own measurement (n=1)
Individual illustration: Living with type 2 without medication: thirty weeks of sensor data
Living with type 2 without medication: thirty weeks of sensor data

Thirty weeks, around sixty thousand readings, a sensor on my arm. This page shows how my values developed over that time — including the weeks when things went backwards.

Please read this first

This is the record of a single case, not a set of instructions. Whether and how medication is used is decided by your doctor together with you. Never stop taking medication on your own. What worked for me may turn out differently for you — type 2 varies from person to person, and many people need medication without having done anything wrong.

Weekly average glucose over thirty weeksLine chart falling from 143 to 118 mg/dl with a peak of 163 in between.120140160163143118JanFebMarAprMayJunJulWeekly average, mg/dl · 30 weeks
Fig.: Weekly average from January to July 2026. Each point rests on around 2,000 individual readings. The point marked in orange is calendar week five.

Thirty weeks in figures

143
mg/dl · January
Weekly average at the start
118
mg/dl · July
Weekly average most recently
6.1 %
GMI most recently
6.7 per cent at the start
99 %
in range 70–160
91 per cent at the start

Calculated from the raw sensor export. Around 2,000 readings per week.

What the curve shows

The weekly average fell from 143 to 118 mg/dl. The glucose management indicator, a calculated approximation of the long-term value, went from 6.7 to 6.1 per cent.

What matters more to me than the final figure: the line is not straight. It has spikes, and one of them was pronounced.

Week five

In calendar week five the average sat at 163 mg/dl — higher than any other week of the year. Only 45 per cent of readings fell between 70 and 160; usually it was 90 and above.

I still do not know exactly why. It was winter, I moved little, and everyday life was full. Probably several things came together. What I did not do: delete the week from the record.

Why such weeks belong here

Showing only the good stretches creates a false picture. Anyone managing a metabolic condition without medication will have weeks where the numbers rise. The question is not whether that happens, but what comes next.

What I changed

Three things, over months, without perfection:

Movement after meals. Twenty minutes of walking whenever possible. That is the lever with the best ratio of effort to effect — at least for me.

Regular training. Steady endurance work plus strength sessions. Not daily, but reliably.

Dinner earlier and lower in carbohydrates. Not always practical. When it works, I see it the next morning.

What I did not do

I did not go hungry, skip meals or follow any named diet. I also did not use supplements as a substitute for anything else.

And I stopped nothing — that question never arose in my case. Anyone taking medication should walk this path with medical support, not against it.

What these data show and what they do not

Established: over these thirty weeks my values fell. The measurement is continuous and the figures come from the raw sensor export.

Not established: which measure contributed how much. I changed several things at once, and season, stress and sleep played their part. Separating the factors would require conditions that everyday life does not offer.

Also not established: that this pattern looks similar for others. One case is one case.

On the word remission

In the literature, remission in type 2 means the long-term value stays below a defined threshold without medication for at least three months. It does not mean cure. The predisposition remains, and values can return — particularly when circumstances change.

Whether my situation meets that definition is not something the sensor determines. That requires a medical assessment with laboratory values. The sensor shows a direction, not a diagnosis.

Key points

  • Thirty weeks of continuous measurement, around 60,000 individual readings.
  • Weekly average fell from 143 to 118 mg/dl.
  • The calculated long-term value went from 6.7 to 6.1 per cent.
  • One week sat well above the rest — setbacks are part of it.
  • Which factor contributed what cannot be separated.
  • Medication belongs in medical hands, not self-management.

Single-case record, not a study and not a recommendation.

Sources

This entry is based on my own sensor readings. Where studies are mentioned, they are linked in the text. Continuous glucose monitoring: FreeStyle Libre 3.

General information, not medical advice. Remission is not a cure; never stop medication on your own.

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