FactorInteraction
Describes how multiple contributing factors combine or interact to produce a multi-factorial condition.
Properties
Properties from FactorInteraction (in addition to properties inherited from Intangible and Thing):
| Property | Expected Type | Description |
|---|---|---|
| interactionType | Text | How factors combine: "Additive", "Synergistic", "Antagonistic", or "Additive with synergistic elements" |
| description | Text | Detailed explanation of the interaction pattern |
| examples | Text (multiple) | Concrete examples showing how the interaction works |
Examples
Example 1: Simple Additive Interaction
Basic pattern where effects sum together:
JSON-LD
{
"@context": [
"https://schema.org",
{
"hs": "https://healthschema.org/",
"FactorInteraction": "hs:FactorInteraction"
}
],
"@type": "FactorInteraction",
"interactionType": "Additive",
"description": "Each risk factor independently increases cardiovascular risk. Multiple factors present increase total risk proportionally.",
"examples": [
"Patient with hypertension has 2x baseline risk",
"Adding smoking increases risk to 3x baseline",
"Adding diabetes increases risk to 4x baseline"
]
}Example 2: Complex Synergistic Interaction
Detailed explanation of how factors amplify each other:
JSON-LD
{
"@context": [
"https://schema.org",
{
"hs": "https://healthschema.org/",
"FactorInteraction": "hs:FactorInteraction"
}
],
"@type": "FactorInteraction",
"interactionType": "Additive with synergistic elements",
"description": "Each contributing factor independently increases risk of telogen effluvium during GLP-1 treatment. However, when rapid weight loss combines with pre-existing nutritional deficiency, the risk compounds significantly beyond simple addition. Individual susceptibility acts as a multiplier - the same degree of weight loss and nutritional stress causes severe shedding in some patients while others experience minimal effects.",
"examples": [
"Patient with moderate weight loss (1kg/week) + adequate nutrition = 20% risk of noticeable shedding",
"Patient with rapid weight loss (2.5kg/week) + borderline nutrition = 60% risk (synergistic effect)",
"Same patient with rapid loss + low ferritin + genetic susceptibility = 85% risk (multiple synergies)",
"Conversely, patient with slow weight loss (<1kg/week) + proactive nutrition + PRP therapy = <10% risk (antagonistic protective factors)"
]
}Example 3: Antagonistic Interaction
When factors work against each other:
JSON-LD
{
"@context": [
"https://schema.org",
{
"hs": "https://healthschema.org/",
"FactorInteraction": "hs:FactorInteraction"
}
],
"@type": "FactorInteraction",
"interactionType": "Antagonistic",
"description": "Protective factors reduce the impact of risk factors, partially offsetting their effects. The interaction is not complete cancellation but meaningful reduction in overall risk.",
"examples": [
"High calcium intake partially offsets bone loss from vitamin D deficiency",
"Regular exercise reduces cardiovascular risk despite continued smoking (though smoking cessation remains critical)",
"Adequate protein intake during rapid weight loss reduces but does not eliminate hair loss risk"
]
}Usage Notes
When to Use FactorInteraction
Use FactorInteraction when:
- Within MultifactorialCondition — Used as component of a MultifactorialCondition
- Factors don't just add — When the combination creates effects different from simple summation
- Risk stratification matters — When understanding interactions helps predict outcomes
- Treatment planning — When knowing how factors combine guides intervention strategy
Interaction Types
Choosing the Right Type
- Additive: Factors independently contribute; effects sum linearly (1 + 1 = 2)
- Synergistic: Factors amplify each other; combined effect exceeds sum (1 + 1 = 3)
- Antagonistic: Factors oppose each other; one reduces the other's effect (1 + 1 = 0.5)
- Additive with synergistic elements: Mostly additive but with some amplification in specific combinations
Best Practices
- Provide concrete examples — Use
examplesto illustrate the interaction pattern - Quantify when possible — Include numerical risk estimates in examples
- Explain clinical significance — Help readers understand what the interaction means for treatment
- Be specific — Describe which specific factor combinations show synergy vs. simple addition
Related Types
Health Schema Types
Schema.org Types
- No direct schema.org equivalents — this type captures relationships not available in standard vocabulary