● Food Intelligence · Pasta
Across 604 logged meals where spaghetti was eaten alone (451 members), the average glucose peak was +36.6 mg/dL — but pairings move that significantly. Pesto trimmed the peak by −9.5 mg/dL across 243 matched logs, while a very heavy carb load pushes the average up to +45.6 mg/dL. Sauce and total meal carbs are the levers, not the noodle itself.
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Moderately — with an average peak of +36.6 mg/dL across 604 logged meals where spaghetti was eaten alone (451 members), lower than rice or pizza but tightly tied to portion and sauce. Across 604 logged meals where spaghetti was eaten alone (451 unique members), the mean glucose peak was +36.6 mg/dL — moderate by CGM standards, and lower than rice or pizza in the same dataset. The dense starch matrix in extruded pasta is the underlying reason: it digests more slowly than bread, supporting the published GI of 46. Three levers drive most of the variance: total meal carb load (the single biggest factor, at +47% when the meal hits ≥60g carbs), sauce choice (pesto trims the peak by −9.5 mg/dL vs. marinara), and what protein you pair with the noodles. Individual response matters as much as the food itself.
Some members spike +28.2 mg/dL. Others spike +45.6. The only way to know how you'll spike is to measure with a Signos CGM.
Spaghetti produces a mean peak of +36.6 mg/dL across 604 logged meals where spaghetti was eaten alone (451 members) — moderate by CGM standards and notably lower than rice (+44.2) or pizza (+43.6) in the same dataset. Individual response varies far more than the average implies. Three levers explain most of that range. First, total meal carb load dominates: meals in the very heavy carb bucket (110g+ carbs) spiked +45.6 mg/dL on average — 62% more than the lightest-carb meals (+28.2 mg/dL). Second, sauce choice exerts a real fat-driven brake: pesto logs (n=243) averaged +28.5 mg/dL vs. a marinara baseline of +38.0 mg/dL. Third, morning timing offers a measurable edge — before-10am logs (n=448) trimmed the peak by 16.7% (CI: [−7.71, −4.13] mg/dL). These effects are observational from matched-pair Welch's t-tests, not controlled trials.
This page is grounded in 14,922 logged meals containing spaghetti from 6,557 unique Signos members, captured through the Signos production PPGR cohort. Data was filtered to meals with a measured glucose rise between 0 and 100 mg/dL (ppgr_case='regular') to exclude outliers and sensor artifacts. Statistical comparisons between modifier groups use Welch's t-test on matched pairs; all effects reported at p<0.05 minimum, with the dominant modifiers reaching p<0.001. The page primary cohort is the single-item subset: 604 meals where spaghetti was the only logged item (451 unique members), yielding a mean peak of +36.6 mg/dL, median +35 mg/dL, IQR p25 +21 / p75 +49. This tighter filter excludes composite logs such as 'spaghetti and meatballs' or 'spaghetti with sauce' — retaining only meals where spaghetti itself was logged alone. The broader 14,922-meal cohort underlies the modifier swap calculator, where subgroup N requirements make the larger pool necessary. Spaghetti logs were identified via a regex cohort match on the canonical food name 'Spaghetti' and its sub-forms (regular, whole-wheat, gluten-free, lentil/chickpea pasta, zucchini noodles); 'spaghetti squash' was explicitly excluded from the cohort regex as it is a different food entirely. A minimum of 100 matched meals was required for any food pairing to appear in the recipe builder; the butter / olive-oil-only sauce sub-cohort (n=12) is therefore excluded from the published swap table.