Meal Scoring
AIONA provides meal-level and daily-level longevity scoring to help users understand dietary patterns over time.
Meal score
Each analyzed meal receives a longevity score on a 0-10 scale based on the five pillar assessment.
The five longevity pillars
Every analyzed meal is evaluated across the following five pillars. Each pillar contributes to the final 0–10 longevity score.
Glycemic Impact
Glycemic impact refers to how quickly a food raises your blood sugar (glucose) levels after you eat it, measured by the Glycemic Index (GI), a ranking from 1 to 100 where higher numbers mean faster spikes, helping people manage blood sugar, especially for diabetes, by favoring foods that cause slower, steadier rises (low GI) over rapid surges (high GI). It considers carbohydrate type, processing, fiber, and fat, with low-GI foods (like whole grains, many fruits) offering a gradual energy release, while high-GI foods (like sugary drinks, white bread) cause quick spikes.
Nutrient Density
Nutrient density measures the concentration of vitamins, minerals, and other beneficial compounds relative to calories. High nutrient-dense foods provide substantial nutrition without excessive energy, supporting overall health and longevity. Examples include leafy greens, berries, and fatty fish.
Protein Quality & Satiety
Protein quality assesses amino acid completeness and digestibility, while satiety measures how well a food keeps you feeling full. High-quality proteins with complete amino acid profiles support muscle maintenance, metabolic health, and help control appetite throughout the day.
Fat Quality & Inflammatory Balance
Fat quality evaluates the ratio of beneficial fats (omega-3s, monounsaturated) to potentially inflammatory fats (excess omega-6s, trans fats). A balanced fat profile supports cardiovascular health, brain function, and helps manage systemic inflammation.
Processing & Additives Load
Processing load assesses how far a food has been altered from its natural state and the presence of artificial additives. Minimally processed whole foods typically offer better nutrition and fewer potentially harmful substances than ultra-processed alternatives.
Daily score aggregation
Daily score is computed from meal-level scores using calorie-weighted averaging. This ensures larger meals contribute proportionally more than small snacks.
If all meals in a day have zero kilocalories recorded, the system falls back to arithmetic mean.
Data quality boundaries
Daily score includes successful meal analyses and uses approved meal data pathways. This keeps score trends consistent with persisted analysis outputs.