The products were not tested under the same conditions. Exercise followed on two mornings, while Strawberry Yoghurt Split was recorded in the evening. A ranking would therefore be misleading.
| Date | Product | Reading at note | Activity | observed range |
|---|---|---|---|---|
| 21 Jul | Brownie Marshmallow | 121 | 45 min low impact | 114–145 |
| 22 Jul | Dark Cookie Crumble | 124 | 45 min low impact + cooldown | 116–142 |
| 23 Jul | Strawberry Yoghurt Split* | 112 | no directly documented morning comparison | — |
What can still be learned
Brownie Marshmallow and Dark Cookie Crumble started in a similar range. Their subsequent curves were modestly different, but both were affected by a ride. The strawberry product lacks a comparable morning condition. These data are useful for designing a standardised test, not for declaring a winner.
My new protocol
- same time and preparation,
- no additional meal for three hours,
- either the same ride every time or no ride on all test days,
- record start, maximum, time to maximum and area above baseline,
- at least three repeats per product.
* The strawberry note was recorded in the evening and is not directly comparable with the morning trials.
Sources and methodological context
- American Diabetes Association, Standards of Care in Diabetes—2026: Physical activity and exercise
- Trefts et al., Exercise and the Regulation of Hepatic Metabolism
- Bergenstal et al., Glucose Management Indicator (GMI)
- Zaharieva et al., CGM lag during aerobic exercise
- Emhoff et al., Gluconeogenesis and hepatic glycogenolysis during exercise
The values in this article come from my own sensor (FreeStyle Libre 3) and are a single-case observation (n = 1) – they show a pattern in me, not a rule for you. Every statement is labelled as established, plausible or open, and proximity in time never counts as proof of a cause. How I handle time windows, sensor lag, influencing factors and approval is collected on one page. Read the methodology
