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Why the Same Meal Spikes Differently

1-minute read 30 XP in app 6 cards

Your glucose response is your own

The PREDICT-1 + PREDICT-2 studies (the basis of Zoe) showed something stunning: the same meal can spike glucose 2–4× higher in one person vs another. And the determinants aren't just 'carbs' — they're microbiome composition, circadian timing, sleep the night before, stress, prior meal, even mood.

2–4× variation in identical meal response
Fact

What shapes YOUR response

Genetics (~30%), microbiome (~20%), meal composition + timing (~20%), sleep (~15%), stress + exercise (~15%). Microbiome variability is the surprise — the same bread fermented by different gut bacteria produces wildly different glucose responses. Hence the 'no universal best diet' finding.

Fact

Same food, different response examples

White rice spikes Person A from 90→130 and barely touches Person B (also at 90). A banana flatlines one person and triples another's glucose. Identical breakfast at 8 am vs 10 am produces different responses in the same person. Time of day + sleep state + gut microbiome all enter the equation.

True or false

True or False

The glycaemic index of a food reliably predicts its effect on your glucose.

Glycaemic index reliably predicts an individual's glucose response
GI is a population average measured in standard-condition lab tests. For any individual, actual response varies by 2-4× from the predicted GI — mostly due to microbiome, sleep, and time of day. GI is a crude starting guide, not a personal metric.
Insight

The practical takeaway

Two weeks with a CGM will teach you more about YOUR food responses than years of reading. Test 8-10 staple meals, learn which ones spike you the most, and either modify or reorder them. Pairing + sequence tricks (fibre first, protein first, 10-min post-meal walk) are real and personal.

Takeaway

Key Takeaway

Stop treating nutrition as universal. The same food affects you and your partner differently. A 2-week CGM trial reveals your personal spikes + stable foods, which is an actionable intervention a generic food-label reading never produces.

References

  1. PREDICT-1 — personalised glycaemic response to foodBerry et al., 2020

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Time-Restricted Eating + Post-Meal Walks