● Food Intelligence · Dairy & Desserts
Across 12,350 single-item ice cream logs, Signos members averaged a +34.2 mg/dL glucose peak — with 51.2% of responses topping +30 mg/dL. Gelato and soft-serve push that average to +41–44 mg/dL; nuts on top trim it to ~+30 mg/dL. The form you choose matters more than whether you eat ice cream at all.
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Yes — across 12,350 meals where members ate ice cream alone, the average glucose peak was +34.2 mg/dL, with 51.2% of responses exceeding +30 mg/dL. In our single-item cohort of 12,350 ice cream logs from 5,639 members, the median peak was +31 mg/dL and the IQR ran from +18 to +47 mg/dL — a wide spread driven largely by form and sugar content. Three levers dominate the outcome: total sugar load at the meal (high-sugar builds ≥20g ran 74% higher than the low-sugar baseline, p<0.001, n=16,011), ice cream form (soft-serve averaged +43.9 mg/dL vs. +35.4 mg/dL for regular), and toppings (nuts trimmed the peak by −5 mg/dL in 2,954 matched logs). These are observational, not causal findings.
Some members spike +31.9 mg/dL. Others spike +48.2. The only way to know how you'll spike is to measure with a Signos CGM.
Ice cream is a fat-sugar-lactose matrix, and the interplay between those three components is what drives its surprisingly moderate glucose response in many forms. Across 12,350 logged meals where members ate ice cream alone, the average peak was +34.2 mg/dL — well below most starchy foods despite ice cream's dessert reputation. The dominant modifier in the cohort is sugar load: meals with ≥20g sugar averaged 74% higher peaks than the low-sugar baseline (p<0.001, n=16,011). Fat content provides a meaningful counterweight — when fat is sufficient (≥15g in the broader cohort), it slows gastric emptying and blunts lactose absorption, explaining why full-fat forms track nearly identically to reduced-fat ones. These effects are observational, not yet established as causal.
This page draws on Signos production CGM data logged between March 2025 and April 2026, covering 29,605 meals containing ice cream across 8,927 unique members (broader cohort), with a single-item sub-cohort of 12,350 meals (5,639 unique members) where ice cream was logged without other foods. Statistical comparisons use Welch's t-test on matched pairs; all modifier effects cited carry p<0.001 unless noted. Cohort filtering restricts to meals with a measured glucose rise between 0 and 100 mg/dL (ppgr_case='regular'). We report mean peak glucose rise across a right-skewed distribution; the single-item median is +31 mg/dL vs. a mean of +34.2 mg/dL. Ice cream and gelato meals were identified via regex matching on logged food names. A minimum of 30 matched meals is required for modifier slots to be computed; slots with fewer than 100 logs are flagged as low confidence and excluded from the recipe builder's default display.