0.5.12 - ci-build
SpaceflightHealthSimulationsReferenceDocumentation - Local Development build (v0.5.12) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions
When the crew of Biosphere 2 emerged after two years of sealed-habitat living, researchers were astonished: despite a chronic caloric deficit, the team exhibited improved cardiometabolic markers, reduced inflammatory profiles, and enhanced insulin sensitivityfindings later championed by Dr. Roy Walford and colleagues at the University of Chicago. Their experiment foreshadowed a truth that space agencies now confront directly: astronauts often operate at an energetic deficit, sometimes unintentionally, sometimes as a result of mission constraints, and sometimes as a managed physiologic strategy.
On the International Space Station, astronauts routinely burn 2,5003,500 kcal/day yet may consume significantly less due to appetite suppression, shelf-life constraints, or inventory shortages. Every unaccounted calorie becomes an operational variable: mass budgeting, hydration balance, micro- and macronutrient sufficiency, muscle and bone preservation, cognitive performance, and long-term metabolic health. Tracking intake is therefore as mission-critical as monitoring radiation dose or EVA suit pressure.
| Profile | Purpose | Key Features |
|---|---|---|
| SpaceNutritionIntake | Document actual daily intake and hydration events | Macronutrient breakdown, micronutrient sufficiency, hydration type/volume, route |
| SpaceNutritionProduct | Describe space-rated food, supplements, electrolytes | Shelf-life, rehydration requirements, preparation method, hazard analysis |
| SpaceNutritionInventoryItem | Track stores aboard spacecraft or planetary habitats | Lot number, mass, burn rate, expired/shortage flags |
| CalorieDeficitAssessment | Quantify acute and cumulative calorie deficits | Resting metabolic rate, total expenditure, intake vs. requirement |
| MetabolicRiskSummary | Evaluate risk from prolonged deficits | Muscle wasting, bone turnover, hormonal signs of underfeeding |
These profiles parallel the architectural pattern used in radiation trackingseparating individual measurement, device/product specification, and longitudinal summaries.
Nutrition tracking incorporates multiple concurrent dimensions:
All measurements link to MissionContext extensions used in other IG modules.
New code systems and value sets:
Integration with existing terminologies:
Caloric deficit in space is not merely a dietary inconvenienceit is a whole-system physiologic perturbation. Picture an astronaut floating through the ISS after a six-hour EVA: their muscles are fatigued from fighting against the stiff spacesuit joints, their appetite is suppressed by the fluid shift that makes their face puffy and sinuses congested, and the pre-packaged meal floating nearby holds little appeal despite their body's desperate need for fuel. This is the daily reality of space nutritiona constant battle between physiologic needs and environmental constraints.
Chronic deficits degrade reaction time, stress tolerance, and immune resistancecritical for long-duration missions.
Dehydration exacerbates orthostatic intolerance, kidney stone risk, and thermoregulation challenges during EVA.
Long-term calorie deficit produced improved metabolic markers but also measurable loss of lean massrequiring careful management in space analogs and missions.
Analogous to radiation dosimetry's layered detection system, nutrition monitoring integrates multiple data streams to provide comprehensive tracking of astronaut nutritional status. Think of this as creating a complete metabolic picturecombining direct measurements of what astronauts consume with physiologic markers that reveal how their bodies are responding to the space environment and dietary intake.
Recorded via SpaceNutritionIntake. Includes caloric estimation error margins.
Habitat systems continuously track remaining consumables, mirroring ECLSS environmental data integration in radiation tracking.
Alerts feed mission control decision algorithms.
Modeled after the 6-category structure of radiation tracking.
RMR measurement, body composition, micronutrient labs, dietary pattern history.
Match caloric requirements to storage mass limits; adjust based on mission length and resupply cadence.
Automated detection of chronic underfeeding; feedback to training regimens and EVA planning.
Bone markers, endocrine recovery, lean mass changes, comparison to analog missions (NEEMO, NBL).
Trends across multiple missions; risk accumulation for osteoporosis, metabolic disease.
Study effects of long-term calorie deficit, nutrient timing, circadian misalignment, and analog environments such as Biosphere 2.
NASA published the crew menu for the Artemis II mission, providing a concrete example of mission menu planning (Use Case #2 above). The menu includes 41 items across 10 categories, each modeled as a FHIR NutritionProduct resource in this IG.
| Category | Items |
|---|---|
| Beverage | Coffee (black), Green tea, Berry smoothie, Orange juice, Apple cider, Grape drink, Orange-mango smoothie, Orange-pineapple drink, Hot chocolate, Cocoa |
| Grain | Flour tortillas, Wheat flat bread |
| Entrée | Vegetable quiche, Couscous with nuts and raisins, Macaroni and cheese |
| Protein | Breakfast sausage patty, Barbecued beef brisket |
| Fruit | Mango salad, Tropical fruit salad |
| Breakfast | Granola with blueberries |
| Vegetable | Broccoli au gratin, Spicy green beans, Butternut squash, Cauliflower au gratin |
| Snack | Almonds, Cashews |
| Condiment | Maple syrup, Chocolate hazelnut spread, Peanut butter, Almond butter, Hot sauce, Spicy mustard, Strawberry jam, Honey, Cinnamon sugar |
| Dessert | Shortbread cookies, Chocolate, Lemon cake, Chocolate candy-coated almonds, Cherry-blueberry cobbler, Chocolate pudding |
These resources are available for bulk download as Artemis.NutritionProducts.ndjson on the Downloads page.
Sources:
Advanced parameters enable deeper physiologic monitoring and risk assessment:
{
"resourceType": "NutritionIntake",
"meta": {
"profile": [
"http://hl7.org/fhir/uv/aerospace/StructureDefinition/space-nutrition-intake"
]
},
"status": "completed",
"subject": { "reference": "Patient/AstronautExample" },
"occurenceDateTime": "2025-06-01T12:30:00Z",
"consumedItem": [
{
"nutritionProduct": {
"reference": "NutritionProduct/FD-Lasagna-01"
},
"amount": { "value": 1, "unit": "package" },
"nutrient": [
{
"nutrientCode": { "text": "Energy" },
"amount": { "value": 420, "unit": "kcal" }
},
{
"nutrientCode": { "text": "Protein" },
"amount": { "value": 28, "unit": "g" }
},
{
"nutrientCode": { "text": "Carbohydrate" },
"amount": { "value": 45, "unit": "g" }
}
]
}
],
"extension": [
{
"url": "http://hl7.org/fhir/uv/aerospace/StructureDefinition/mission-context",
"valueCode": "iss-expedition-72"
}
]
}
{
"resourceType": "Observation",
"meta": {
"profile": [
"http://hl7.org/fhir/uv/aerospace/StructureDefinition/calorie-deficit-assessment"
]
},
"status": "final",
"code": {
"coding": [
{
"system": "http://hl7.org/fhir/uv/aerospace/CodeSystem/macronutrient-metrics-cs",
"code": "calorie-deficit",
"display": "Daily Calorie Balance"
}
]
},
"subject": { "reference": "Patient/AstronautExample" },
"effectiveDateTime": "2025-06-01T23:59:00Z",
"valueQuantity": {
"value": -650,
"unit": "kcal"
},
"component": [
{
"code": { "text": "Energy Expenditure" },
"valueQuantity": { "value": 3100, "unit": "kcal" }
},
{
"code": { "text": "Energy Intake" },
"valueQuantity": { "value": 2450, "unit": "kcal" }
}
],
"extension": [
{
"url": "http://hl7.org/fhir/uv/aerospace/StructureDefinition/mission-context",
"valueCode": "eva-day"
}
]
}
Although nutritional regulation in space is not governed by the same frameworks as radiation exposure, several terrestrial standards apply:
AI-driven adjustments to inventory, crew preference, and metabolic needs.
In-situ agriculture on lunar/Martian surfaces; hydroponics and algal bioreactors.
Genotype-informed macronutrient ratios, microbiome analysis, and precision supplementation.
Embedded RFID, ripeness sensors, radiation-induced degradation tracking.
Interfaces that promote adequate intake during appetite suppression phases.