● Food Intelligence · Cheese
Across 23,091 logged cream cheese meals, members averaged +33.6 mg/dL — but cream cheese carries GI=0 and contributes essentially zero net carbs. The +33.6 mg/dL cohort mean reflects the bagel, toast, and crackers most members eat it on; eaten plain, the response is near-flat.
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No — cream cheese is GI=0 and contributes essentially zero carbs; the +33.6 mg/dL cohort average across 23,091 logs reflects the bagel, toast, and crackers underneath it, not the cheese itself. Cream cheese is a vehicle food — almost nobody eats it plain. Across 23,091 meals containing cream cheese, the average glucose peak was +33.6 mg/dL (median +30 mg/dL), but that signal is the carb vehicle, not the spread. On a bagel, the cohort averaged +40.9 mg/dL — a +11 mg/dL jump over the plain-cream-cheese baseline of +29.8 mg/dL, and the single largest carb-pair effect we measured. Toast adds just +3 mg/dL, sushi adds +2 mg/dL, and crackers add +7 mg/dL. The takeaway: the cream cheese itself is a passenger; the bread under it is the engine.
Some members spike +27.9 mg/dL. Others spike +50.2. The only way to know how you'll spike is to measure with a Signos CGM.
Cream cheese is a near-zero-carb spread — published GI=0/GL=0, with roughly 1–2g of net carbs per 2-tbsp serving — so its cohort-mean peak of +33.6 mg/dL across 23,091 logs is driven almost entirely by what it's spread on. The dominant lever measured in the full cohort is total meal carb load: meals with ≥60g of carbs ran 61% higher than the low-carb baseline (p<0.001), and the carb-bucket analysis shows a near-linear escalation from +27.9 mg/dL in light (0–40g) meals to +50.2 mg/dL in very-heavy (110g+) meals — an 80% jump. The carb-pair slot tells the same story at the ingredient level: bagels added +11 mg/dL on top of plain cream cheese (n=7,410), English muffins +8 mg/dL, crackers +7 mg/dL, while toast and sushi rolls were near-flat at +3 and +2 mg/dL respectively. Two secondary levers pull the response down: high-fat pairings (≥15g) trimmed peaks by ~12% and high-protein pairings (≥15g) by ~12%, both highly significant. The mechanism is observational, not yet causal, but the pattern is consistent with fat and protein slowing gastric emptying and blunting any glycemic excursion from the carbs riding alongside.
This page draws on 23,091 cream-cheese logs from 7,151 unique Signos members, collected through the Signos production CGM platform. Data were filtered to postprandial glucose responses (PPGR) between 0 and 100 mg/dL to exclude sensor artifacts and implausible readings. Modifier effects were estimated using Welch's t-test on matched pairs against a defined baseline; all reported effects carry p<0.001 unless noted. We report mean glucose peak across a right-skewed distribution — the median spike of +30 mg/dL is a few mg/dL lower than the mean of +33.6 mg/dL, which is typical for this type of data. Because cream cheese has a published GI=0/GL=0 (Harvard reference table, verified), the form-anchor values in the recipe builder are forced to 0 — the cohort mean reflects the carbohydrate vehicles cream cheese rides on (bagels, toast, crackers), not the spread itself. Cohort means are preserved in the modifier JSON as `option_mean_full_cohort` for transparency. Any carb-pair pairing slot requires at least 100 matched meals before it is treated as high-confidence in the recipe builder.