User Profile & Metrics Reference
Understanding how individual characteristics affect vital sign measurements is crucial for accurate health interpretation. This reference guide provides a comprehensive overview of which user profile information influences specific metrics in the Vitals™ SDK.
Overview
The Vitals™ SDK utilizes user profile information to provide more accurate and personalized health measurements. Different metrics require different sets of user information to optimize their accuracy and clinical relevance.
User Information Categories
The Vitals™ SDK requires two main profiles to enhance accuracy, as detailed in the Health Profile documentation:
Profile CategoryProfile Category | DescriptionDescription | Key InformationKey Information |
|---|---|---|
| User Profile | Basic personal information essential for vital sign calculations | Age, Gender, Weight, Height, Waist Circumference, HDL Cholesterol, Total Cholesterol |
| Medical History Profile | Lifestyle and medical history information for health risk assessment | Alcohol Consumption, Anti-Hypertensive Medication, Diabetic Status, Healthy Diet, Blood Glucose History, Family Diabetes History, Parental Hypertension, Physical Activity, Smoking Habit |
User Profile Impact on Metrics
The following table shows which user information affects the accuracy of specific vital signs and health metrics:
User InformationUser Information | Affected MetricsAffected Metrics |
|---|---|
| Age | All vital signs (required for enhanced accuracy) |
| Gender | All vital signs (required for enhanced accuracy) |
| Weight | Blood Pressure, Cardiac Workload, A Body Shape Index (ABSI), A Body Shape Index (ABSI) Z-score, Body Mass Index (BMI), Hypertension Risk, Diabetes Risk, Cholesterol Risk (Beta) |
| Height | Blood Pressure, Cardiac Workload, A Body Shape Index (ABSI), A Body Shape Index (ABSI) Z-score, Waist-to-Height Ratio (WHtR), Body Mass Index (BMI), Hypertension Risk, Diabetes Risk, Cholesterol Risk (Beta) |
| Waist Circumference | A Body Shape Index (ABSI), A Body Shape Index (ABSI) Z-score, Waist-to-Height Ratio (WHtR), Diabetes Risk |
| HDL Cholesterol | Cardiovascular Risk |
| Total Cholesterol | Cardiovascular Risk |
| Alcohol Consumption | Cholesterol Risk (Beta) |
| Anti-Hypertensive Medication | Diabetes Risk |
| Diabetic Status | Cardiovascular Risk |
| Healthy Diet | Diabetes Risk, Cholesterol Risk (Beta) |
| Blood Glucose History | Diabetes Risk |
| Family Diabetes History | Diabetes Risk |
| Parental Hypertension | Hypertension Risk |
| Physical Activity | Diabetes Risk, Cholesterol Risk (Beta) |
| Smoking Habit | Cardiovascular Risk, Hypertension Risk, Cholesterol Risk (Beta) |
Note: According to the Health Profile documentation, only age and gender are mandatory fields, while all other fields are optional but may be required for specific metric calculations.
Metric-Specific Requirements
Required vs Optional Information
Some metrics have required user information while others consider it optional but recommended for improved accuracy:
MetricMetric | User Information StatusUser Information Status | Required InformationRequired Information |
|---|---|---|
| All Vital Signs | Mandatory | Age, Gender (only these two fields are mandatory as per Health Profile) |
| Blood Pressure | V1: Optional (Recommended) V2: Required | Age, Gender, Weight, Height |
| Cardiac Workload | Required | Age, Gender, Weight, Height |
| Waist-to-Height Ratio (WHtR) | Required | Height, Waist Circumference |
| A Body Shape Index (ABSI) | Required | Weight, Height, Waist Circumference |
| A Body Shape Index (ABSI) Z-score | Required | Age, Gender, Weight, Height, Waist Circumference |
| Body Mass Index (BMI) | Required | Weight, Height |
| Cardiovascular Risk | Optional (Recommended) | Age, Gender, HDL Cholesterol, Total Cholesterol, Diabetic Status, Smoking Habit |
| Hypertension Risk | Required | Age, Gender, Weight, Height, Parental Hypertension, Smoking Habit |
| Diabetes Risk | Required | Age, Gender, Weight, Height, Waist Circumference, Anti-Hypertensive Medication, Healthy Diet, Blood Glucose History, Family Diabetes History, Physical Activity |
| Cholesterol Risk (Beta) | Required | Age, Gender, Weight, Height, Alcohol Consumption, Healthy Diet, Physical Activity, Smoking Habit |
Why User Profile Information Matters
Age-Related Factors
- Cardiovascular metrics: Reference ranges change significantly with age
- Risk assessments: Age is a primary factor in most health risk calculations
- Physiological changes: Normal heart rate, blood pressure, and other vital signs vary by age group
Gender-Specific Considerations
- Hormonal influences: Different physiological responses between males and females
- Body composition differences: Affect calculations for BMI, ABSI, and other body metrics
- Risk factor variations: Gender-specific risk profiles for cardiovascular and metabolic conditions
Physical Measurements Impact
- Personalized calculations: Height and weight are essential for body composition metrics
- Cardiovascular load: Larger body mass affects heart workload calculations
- Risk stratification: Physical measurements help categorize health risks more accurately
Medical History Integration
- Holistic assessment: Lifestyle factors provide context for physiological measurements
- Risk modification: Understanding how behaviors affect health outcomes
- Personalized recommendations: Tailored health insights based on individual lifestyle patterns
Best Practices
For Developers
- Collect comprehensive data: Gather all relevant user information for the metrics you plan to use
- Validate inputs: Ensure user-provided User Profile and Medical History Profile data is within reasonable ranges
- Handle missing data: Implement graceful handling when optional information is unavailable
- Privacy considerations: Store and transmit User Profile and Medical History Profile data securely
For Users
- Provide accurate information: Ensure all User Profile and Medical History Profile data is current and correct
- Complete profiles: Fill out all relevant fields for more accurate measurements
- Update regularly: Keep User Profile and Medical History Profile information current as it changes over time
- Understand limitations: Recognize that incomplete information may affect accuracy
Additional Resources
For detailed information about specific metrics and their interpretation, refer to the individual metric documentation:
- Wellness Metrics - General Wellness, Physical Wellness, Mental Wellness, etc.
- Cardiovascular Metrics - Heart Rate, Heart Rate Variability, Blood Pressure, etc.
- Respiratory Metrics - Respiratory Rate, Oxygen Saturation
- Mental Health Metrics - Stress Level
- Physical Analysis Metrics - Waist-to-Height Ratio, A Body Shape Index, A Body Shape Index (ABSI) Z-score, etc.
- Risk Assessment Metrics - Cardiovascular Risk, Hypertension Risk, Diabetes Risk, etc.
- Facial Beauty Metrics - Skin Quality, Skin Characteristics, Facial Characteristics
- Scan Parameter Metrics - Signal Quality, Signal Conditions
Or browse all metrics in the Interpreting Results Introduction.
Accuracy Improvement 📈
Providing complete and accurate User Profile and Medical History Profile information can significantly improve the precision of your vital sign measurements and health assessments. The more comprehensive your profiles, the more personalized and accurate your results will be.
Data Privacy 🔒
All User Profile and Medical History Profile information is processed securely and in accordance with applicable data protection regulations. PanopticAI is committed to maintaining the highest standards of data privacy and security.