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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 ProfileBasic personal information essential for vital sign calculationsAge, Gender, Weight, Height, Waist Circumference, HDL Cholesterol, Total Cholesterol
Medical History ProfileLifestyle and medical history information for health risk assessmentAlcohol 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
AgeAll vital signs (required for enhanced accuracy)
GenderAll vital signs (required for enhanced accuracy)
WeightBlood 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)
HeightBlood 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 CircumferenceA Body Shape Index (ABSI), A Body Shape Index (ABSI) Z-score, Waist-to-Height Ratio (WHtR), Diabetes Risk
HDL CholesterolCardiovascular Risk
Total CholesterolCardiovascular Risk
Alcohol ConsumptionCholesterol Risk (Beta)
Anti-Hypertensive MedicationDiabetes Risk
Diabetic StatusCardiovascular Risk
Healthy DietDiabetes Risk, Cholesterol Risk (Beta)
Blood Glucose HistoryDiabetes Risk
Family Diabetes HistoryDiabetes Risk
Parental HypertensionHypertension Risk
Physical ActivityDiabetes Risk, Cholesterol Risk (Beta)
Smoking HabitCardiovascular 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 SignsMandatoryAge, Gender (only these two fields are mandatory as per Health Profile)
Blood PressureV1: Optional (Recommended)
V2: Required
Age, Gender, Weight, Height
Cardiac WorkloadRequiredAge, Gender, Weight, Height
Waist-to-Height Ratio (WHtR)RequiredHeight, Waist Circumference
A Body Shape Index (ABSI)RequiredWeight, Height, Waist Circumference
A Body Shape Index (ABSI) Z-scoreRequiredAge, Gender, Weight, Height, Waist Circumference
Body Mass Index (BMI)RequiredWeight, Height
Cardiovascular RiskOptional (Recommended)Age, Gender, HDL Cholesterol, Total Cholesterol, Diabetic Status, Smoking Habit
Hypertension RiskRequiredAge, Gender, Weight, Height, Parental Hypertension, Smoking Habit
Diabetes RiskRequiredAge, Gender, Weight, Height, Waist Circumference, Anti-Hypertensive Medication, Healthy Diet, Blood Glucose History, Family Diabetes History, Physical Activity
Cholesterol Risk (Beta)RequiredAge, Gender, Weight, Height, Alcohol Consumption, Healthy Diet, Physical Activity, Smoking Habit

Why User Profile Information Matters

  • 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

  1. Collect comprehensive data: Gather all relevant user information for the metrics you plan to use
  2. Validate inputs: Ensure user-provided User Profile and Medical History Profile data is within reasonable ranges
  3. Handle missing data: Implement graceful handling when optional information is unavailable
  4. Privacy considerations: Store and transmit User Profile and Medical History Profile data securely

For Users

  1. Provide accurate information: Ensure all User Profile and Medical History Profile data is current and correct
  2. Complete profiles: Fill out all relevant fields for more accurate measurements
  3. Update regularly: Keep User Profile and Medical History Profile information current as it changes over time
  4. 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:

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.