ContributingFactor
One factor that contributes to a multi-factorial condition, including its importance, mechanism, modifiability, and potential interventions.
Properties
Properties from ContributingFactor (in addition to properties inherited from Intangible and Thing):
| Property | Expected Type | Description |
|---|---|---|
| factorName | Text | Name of this contributing factor |
| importance | Text | Relative importance: "Major", "Significant", or "Minor" |
| factor | MedicalCause or MedicalRiskFactor | The actual factor entity |
| mechanism | Text | How this factor contributes to the condition |
| prevalence | Text or QuantitativeValue | How common this factor is in the population |
| modifiable | Boolean or Text | Whether factor can be changed: true, false, or "partial" |
| interventions | MedicalTherapy or LifestyleModification (multiple) | How to address this factor |
| evidenceSource | ScholarlyArticle or CreativeWork | Citation linking this factor to supporting research |
| affectedPopulation | QuantitativeValue or Text | What percentage or which groups are affected by this factor |
| distinguishingFeatures | Text (multiple) | How to identify this factor's involvement |
Examples
Example 1: Simple Contributing Factor
A basic modifiable factor with intervention:
JSON-LD
{
"@context": [
"https://schema.org",
{
"hs": "https://healthschema.org/",
"ContributingFactor": "hs:ContributingFactor"
}
],
"@type": "ContributingFactor",
"factorName": "Sedentary lifestyle",
"importance": "Significant",
"factor": {
"@type": "MedicalRiskFactor",
"name": "Physical inactivity"
},
"mechanism": "Reduced insulin sensitivity and metabolic health",
"modifiable": true,
"interventions": [
{
"@type": "LifestyleModification",
"name": "Regular aerobic exercise",
"description": "150 minutes moderate activity per week"
}
]
}
Example 2: Detailed Factor with Clinical Context
A comprehensive factor analysis with prevalence, evidence, and distinguishing features:
JSON-LD
{
"@context": [
"https://schema.org",
{
"hs": "https://healthschema.org/",
"ContributingFactor": "hs:ContributingFactor"
}
],
"@type": "ContributingFactor",
"factorName": "Nutritional deficiency",
"importance": "Major",
"factor": {
"@type": "MedicalRiskFactor",
"name": "Protein, iron, biotin, and zinc deficiency"
},
"mechanism": "Insufficient building blocks and cofactors for hair follicle cellular metabolism and keratin production. Hair follicles are metabolically highly active and among the first tissues affected when nutrients are diverted to essential functions.",
"prevalence": "Common in rapid weight loss contexts, particularly with caloric restriction exceeding 500-1000 kcal daily deficit",
"modifiable": true,
"interventions": [
{
"@type": "DietarySupplement",
"name": "Comprehensive micronutrient supplementation",
"description": "Iron (if ferritin <50ng/mL), biotin 5000mcg daily, zinc 15mg, complete B-complex"
},
{
"@type": "LifestyleModification",
"name": "High-protein diet",
"description": "1.2-1.5g protein per kg ideal body weight, emphasizing bioavailable sources"
},
{
"@type": "MedicalTherapy",
"name": "Nutritional counseling",
"description": "Work with dietitian to optimize nutrient intake despite reduced appetite"
}
],
"evidenceStrength": "Strong evidence from nutritional research and bariatric surgery literature showing clear correlation between micronutrient deficiency and telogen effluvium",
"affectedPopulation": {
"@type": "QuantitativeValue",
"value": "80-90",
"unitText": "percent of patients with GLP-1-associated hair loss show evidence of at least one nutritional deficiency"
},
"distinguishingFeatures": [
"Concurrent brittle nails or ridging",
"General fatigue despite adequate sleep",
"Low serum ferritin on lab testing (<30ng/mL)",
"Pale conjunctiva suggesting anemia",
"Poor wound healing",
"History of restrictive or vegan diet compounding deficiency risk"
]
}
Usage Notes
When to Use ContributingFactor
Use ContributingFactor when:
- Within MultifactorialCondition — Always used as component of a MultifactorialCondition
- Multiple causes interact — When explaining which factors contribute to an outcome
- Importance varies — When some factors matter more than others
- Treatment planning needed — When knowing modifiability guides intervention strategy
Importance Levels
Use consistent categorization:
- Major — Factor is nearly always present and significantly contributes to the condition
- Significant — Factor commonly contributes but condition can occur without it
- Minor — Factor plays a supporting role or affects severity but isn't directly causal
Modifiability Values
Understanding Modifiability
true— Factor can be changed through intervention (e.g., diet, exercise)false— Factor is fixed (e.g., genetics, age, past events)"partial"— Factor can be influenced but not eliminated (e.g., stress can be reduced but not eliminated)
Focus treatment recommendations on modifiable factors while acknowledging non-modifiable factors for risk assessment.
Best Practices
- Explain mechanisms — Always describe HOW the factor contributes
- Quantify prevalence — Include data on how common this factor is
- List interventions — Provide specific, actionable ways to address modifiable factors
- Include distinguishing features — Help clinicians identify when this factor is present
- Rate evidence — Be transparent about certainty level
- Specify affected populations — Indicate what percentage experience this factor
Related Types
Health Schema Types
Schema.org Types
- MedicalRiskFactor — Use for the factor entity
- MedicalCause — Alternative for direct causes
- MedicalTherapy — Use for medical interventions
- LifestyleModification — Use for behavioral interventions
- DietarySupplement — Use for nutritional interventions