Sushi vs pizza
Swap one for the other at the same meal on different days. In our members, the typical rise was 2.2 mmol/L for sushi and 1.6 for pizza.
We looked at Vively members who ate sushi on its own while wearing a glucose sensor. Here is what happened, how it compares, and how to find out what it does to you.

Half of members rose between 1.4 and 3.2 mmol/L.
Short answer: Sushi raised blood sugar by a typical 2.2 mmol/L in 1,038 Vively members who wore a continuous glucose monitor (CGM) and logged it on its own. The middle half of members rose between 1.4 and 3.2 mmol/L. Sushi rose more than plain white rice in our members, and their glucose stayed higher for longer afterwards.
When you eat carbohydrate, your body breaks it down into glucose and your blood glucose rises. That is normal, because glucose is your body’s main fuel. Insulin then moves it out of your blood and into your cells, and your level comes back down.
A big rise is sometimes followed by a dip below where you started. In a study of 1,070 people, those with bigger dips after breakfast felt hungrier sooner and ate more over the rest of the day.
Bigger, more frequent rises mean your body releases more insulin. If your cells stop responding well to it (insulin resistance), your body has to make even more. Insulin resistance usually builds for 10 to 15 years before a standard glucose blood test picks it up.
Studies of people without diabetes have linked higher glucose levels, including two hours after a sugary drink, with a higher risk of heart disease. Higher rises after meals are also often one of the first changes on the way to type 2 diabetes.
Glucose is meant to go up after you eat. What matters is your pattern over weeks: how high you go, how often, and how quickly you come back down. That pattern is personal, so measuring it beats guessing.
If you have diabetes or take medicine that lowers glucose, talk to your doctor before changing how you eat.
Two groups of members in the Sydney and Melbourne time zones, each eating one food on its own: 592 for sushi and 733 for pizza. These are their average curves. Drag across a chart to read it.



lower average peak for pizza
less glucose under the curve for pizza
typical rise in mmol/L, sushi vs pizza
Average curves look gentler than any one person’s, because people peak at different times. These are different groups of people, so treat it as a guide, not a verdict.
17% barely moved. After sushi on its own, 17% of members rose less than 1 mmol/L and 39% rose 2.5 or more. Which group are you in?
Test it on yourselfLine up 1,038 members from smallest to biggest typical rise after sushi, then pick ten people evenly spaced along the line. Same food, very different curves.
barely moved, with a typical rise under 1.0 mmol/L
rose 2.5 mmol/L or more
Sushi is mostly rice. Sushi rice is a short-grain, sticky white rice, and it is usually seasoned with sugar and rice vinegar. A few rolls can add up to more rice than people realise, while the fish, avocado or cucumber inside is a small part of each piece.
Members' curves peaked around 45 minutes after eating and were still well above where they started two hours later. That longer tail is something you can't see from a single finger-prick reading.
Portion size, what you ate earlier, sleep, stress, movement and your menstrual cycle all change the curve too. That is why we built Vively around testing your own meals instead of handing out food lists.
Five quick rounds using our members’ data. How well do you know your sushi?
Typical rise in mmol/L when each food was eaten on its own. Every food has at least 30 members behind it. Tap a food to see its page.
See all 38 foods on our glucose spikes page.
Averages only get you so far. These are the tests our members run with their sensors.
Swap one for the other at the same meal on different days. In our members, the typical rise was 2.2 mmol/L for sushi and 1.6 for pizza.
Swap a few rolls for sashimi or nigiri, add edamame or seaweed salad, and see whether your curve changes.
After the same meal, sit one day and take a 10-minute walk the next. Compare how high you go.
Wear a CGM with Vively and see the rise, the peak and the recovery for every meal you log. Then try a swap and compare the two curves side by side.
Get your CGM
For many people, yes. Across 1,038 Vively members wearing a CGM, sushi raised glucose by a typical 2.2 mmol/L, more than plain white rice (1.8). Glucose also stayed raised for longer. The middle half of members rose between 1.4 and 3.2 mmol/L.
Sushi rice is a sticky short-grain rice that is often seasoned with sugar, and rolls pack a lot of rice into small pieces. Those are likely reasons, though we can't measure them directly. What we can see is that the typical rise and the time spent raised were both higher than for plain rice.
Sashimi is raw fish with no rice, so it has almost no carbohydrate and would be expected to cause little rise. We don't have enough members logging sashimi on its own to show the data, but you can test it easily with a CGM.
There is no official cut-off for a spike in people without diabetes. In a 2019 study of healthy adults who wore CGMs, glucose stayed between 3.9 and 7.8 mmol/L for about 96% of the day. Rises after meals are normal. How high you go, how long you stay there and your pattern over weeks matter more.
We used meals logged in the Vively app by members wearing a CGM between January 2022 and October 2026, leaving out members who told us they have type 2 diabetes, and our own staff. The rise is the highest reading in the two hours after eating, minus the member’s average for the four hours before. If glucose fell, we counted the rise as zero. We took each member’s own median first, then the median across members. “On its own” means the food was the only item logged for that meal. The curves use members in the Sydney and Melbourne time zones, meals since January 2023 and each member’s three most recent meals of each kind. Data is de-identified and only shown when at least 30 members contribute. This is observational app data, not a controlled GI test, and portions vary.
This is observational data from real meals, not medical advice.