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140 g of carbohydrate and multiple Peloton rides: down first, then up again

A closely documented evening shows how delayed digestion and multiple exercise bouts can produce a surprising CGM curve.

Author: StoffwechselFitUpdated: 01.08.2026Type: Personal measurement (n=1)

Translated from the German original; the German version remains the reference for the raw notes.

Topic illustration: 140 g of carbohydrate and multiple Peloton rides: down first, then up againAI image
Illustration: AI-assisted, editorially reviewed

What is documented

The notes record 600 g of fried noodles with chicken plus “eight treasures” with rice, estimated at 140 g carbohydrate. A pop ride, a live-DJ Madonna ride and a cooldown followed.

130
mg/dl
near the meal note
116
mg/dl
start of pop ride
103
mg/dl
start of DJ ride / nadir
154
mg/dl
later peak
19 July: 140 g carbohydrate and a ride series80105130155180mealpopDJcooldown18:0019:4521:4523:45mg/dl
The curve fell during the early ride phase and then rose again despite continued activity.

Why the sequence matters

The largest CGM value did not occur immediately after the meal. Glucose fell to 103 mg/dl during the early exercise phase and later reached 154 mg/dl. Delayed digestion, exercise stress and endogenous glucose supply may overlap; this single case cannot apportion them.

Not a “burn it off” message

The relatively contained curve does not mean that 140 g of carbohydrate were neutralised. CGM measures interstitial glucose, not the whole metabolic load, and there was no control day, insulin measurement or standardised portion.

A stronger repeat would need

  • weighed food and photographed ingredients,
  • one clearly bounded exercise session,
  • at least four hours of observation,
  • a no-exercise comparison only if medically appropriate.

Sources and methodological context

🔍 How I read this data

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


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