Sunu LogoSunu

Troubleshooting

How Accurate Are Health Scores and Advanced Tests?

Understand the accuracy, limitations, and proper use of Sunu's health scores and advanced testing features.

The scores and tests in Sunu are designed to provide valuable insights for informational and wellness purposes, but it's important to understand their context and limitations.

Health Scores Accuracy

How Scores Are Calculated

Data dependency:

  • Scores are calculated based on the data in your Apple Health app
  • Their accuracy is directly dependent on the accuracy and completeness of that data
  • Garbage in, garbage out principle applies

Personalization:

  • Scores are personalized to you
  • Compare your recent data against your own historical baseline
  • Not comparing you to population averages (except Fitness Age)
  • Designed to identify meaningful changes for you specifically

Understanding Score Purpose

What scores show:

  • Trends and patterns over time
  • Changes in your health status
  • Response to lifestyle modifications
  • Daily variability

What they don't show:

  • Absolute health diagnosis
  • Comparison to clinical standards
  • Medical assessment
  • Disease detection

The real value:

  • A single score is just a snapshot
  • Track how scores change over time
  • Notice patterns with life events
  • Guide lifestyle decisions

Readiness Score

What Affects Accuracy

Data quality requirements:

  • Consistent sleep tracking
  • Regular heart rate monitoring
  • HRV measurements (requires Apple Watch)
  • Recent activity data

Factors that improve accuracy:

  • Wearing Apple Watch consistently
  • Regular sleep schedule
  • Complete data collection
  • At least 7 days of baseline data

Limitations:

  • Can't detect illness without symptoms reflected in data
  • May not account for stress not visible in metrics
  • Depends on sensor accuracy
  • Subject to device limitations

Daily Energy Score

Accuracy Factors

Based on:

  • Historical energy patterns
  • Sleep-wake cycle
  • Activity levels
  • Time of day
  • Circadian rhythm models

Works best when:

  • Have several weeks of data
  • Consistent daily routine
  • Regular sleep schedule
  • Accurate sleep tracking

Less accurate when:

  • Travel across time zones
  • Irregular schedule
  • Insufficient historical data
  • Major life changes

Fitness Age

How It's Determined

Primary factors:

  • VO₂ Max (requires Apple Watch)
  • Resting heart rate
  • Exercise frequency and intensity
  • Heart rate recovery
  • Age and gender for comparison

Accuracy depends on:

  • Having VO₂ Max measurements
  • Accurate heart rate data
  • Representative activity levels
  • Sufficient data collection

Limitations:

  • Only as accurate as Apple Watch VO₂ Max estimation
  • May not reflect all aspects of fitness
  • Doesn't measure strength or flexibility
  • Population averages may not suit everyone

Stress & Recovery Score

What Influences This Score

Key metrics:

  • Heart Rate Variability (HRV)
  • Resting heart rate trends
  • Sleep quality
  • Activity balance

Accuracy considerations:

  • HRV is sensitive to many factors
  • Requires Apple Watch for best data
  • Can be affected by caffeine, alcohol
  • Influenced by illness, medications

Important notes:

  • Reflects physiological stress, not psychological
  • May not match how you feel
  • Context is crucial
  • Trends matter more than single readings

Advanced Tests Accuracy

Blink Test (MBI Analysis)

Based on:

  • Established scientific research
  • Peer-reviewed studies on blink patterns
  • Correlation with neurological and eye health conditions

Accuracy factors:

Environment:

  • Lighting quality
  • Camera position
  • Head movement
  • Distractions

Physiological:

  • Eye fatigue level
  • Time since last screen use
  • Caffeine intake
  • Hydration status
  • Contact lenses vs. glasses

Technical:

  • Camera quality
  • Calibration accuracy
  • Algorithm precision
  • Processing conditions

Limitations:

  • Experimental feature
  • Not a diagnostic tool
  • Results may vary between tests
  • Affected by many variables
  • Should not replace eye doctor

Voice Biomarker Test

Research basis:

  • Emerging field with promising research
  • Studies link vocal patterns to health
  • Used in research settings

Accuracy affected by:

Recording quality:

  • Background noise level
  • Microphone quality
  • Speaking volume
  • Recording environment

Vocal state:

  • Recent illness (cold, sore throat)
  • Vocal fatigue
  • Hydration level
  • Recent shouting or talking
  • Time of day

Individual factors:

  • Natural voice characteristics
  • Accent and language patterns
  • Speech habits
  • Emotional state at testing

Important considerations:

  • Experimental feature
  • Not medical diagnostic tool
  • Research is ongoing
  • Individual variation is high
  • Cannot diagnose conditions

What "Experimental" Means

Advanced Tests Status

Current state:

  • Based on research but not clinically validated
  • Algorithms continue to improve
  • Should be used as one data point among many
  • Not FDA approved for diagnosis

Appropriate use:

  • Tracking your own patterns over time
  • Noticing changes that warrant attention
  • Supplementing professional care
  • Personal wellness monitoring

Inappropriate use:

  • Self-diagnosis
  • Replacing doctor visits
  • Making treatment decisions
  • Ignoring concerning symptoms

Improving Score Accuracy

For Better Health Scores

Data collection:

  • Wear Apple Watch 24/7 (except charging)
  • Charge Watch at consistent times
  • Keep iPhone with you during activity
  • Enable all relevant Health permissions

Consistency:

  • Regular sleep schedule
  • Consistent workout routine
  • Daily data syncing
  • Stable lifestyle patterns

Time:

  • Allow 7-14 days for baseline establishment
  • More data = better accuracy
  • Longer history = better predictions
  • Be patient with initial scores

For Better Test Results

Blink Test:

  • Good, consistent lighting
  • Still, centered head position
  • Well-rested eyes
  • Clean camera lens
  • Minimal distractions
  • Test at same time of day

Voice Test:

  • Quiet environment
  • Consistent speaking volume
  • Well-hydrated
  • Not when ill or hoarse
  • Same time of day
  • Good microphone proximity

Interpreting Results Responsibly

The Golden Rule

Always consult with a qualified healthcare professional for any health concerns.

Never:

  • Use scores/tests to make medical decisions
  • Ignore symptoms because score is good
  • Panic over single concerning result
  • Skip medical care based on results
  • Diagnose yourself or others

Do:

  • Track trends over time
  • Share results with your doctor
  • Use as conversation starter
  • Consider as one data point
  • Seek professional evaluation when concerned

When to Seek Medical Attention

Red Flags to Never Ignore

Regardless of scores or test results:

  • Chest pain or pressure
  • Difficulty breathing
  • Severe headache
  • Sudden weakness or numbness
  • Changes in vision
  • Severe pain
  • Bleeding
  • Loss of consciousness
  • Suicidal thoughts

Call emergency services immediately for these symptoms.

Concerning Patterns

When to see a doctor:

  • Scores consistently declining
  • Test results worsen over time
  • Symptoms that persist
  • Changes that don't resolve
  • Anything that worries you

Don't wait for app confirmation: If something feels wrong, seek medical attention.

Data Quality Best Practices

Maximize Accuracy

Device maintenance:

  • Keep sensors clean
  • Ensure proper fit (watches, bands)
  • Update device firmware
  • Replace batteries when needed

Consistent measurement:

  • Same conditions each time
  • Same time of day for comparisons
  • Similar state (fed, hydrated, rested)
  • Control variables when possible

Complete tracking:

  • Don't skip days
  • Log all relevant activities
  • Include context in notes
  • Be consistent with entries

Limitations to Accept

What Scores Cannot Do

Scores cannot:

  • Detect diseases before symptoms
  • Replace blood tests or imaging
  • Diagnose medical conditions
  • Account for all health factors
  • Predict acute events

Scores are not:

  • Perfect representations of health
  • Suitable for emergency assessment
  • Diagnostic tools
  • Medical devices
  • Substitutes for doctor visits

Complementary Use

How to Use Effectively

Best practices:

  • Use alongside regular medical care
  • Share trends with your doctor
  • Don't make major decisions based solely on scores
  • Consider scores as one piece of information
  • Maintain perspective and context

Integration with healthcare:

  • Bring data to appointments
  • Discuss patterns with provider
  • Use for tracking interventions
  • Support professional recommendations
  • Enhance doctor-patient communication

⚠️ Critical Reminder

Sunu's health scores and advanced tests are for informational and wellness tracking purposes only. They are not medical diagnostic tools and should never replace professional medical evaluation. Always consult qualified healthcare professionals for health concerns, diagnosis, and treatment.

📊 Use Wisely

Think of health scores and tests like a car's dashboard indicators. They alert you to potential issues and track performance, but they don't diagnose problems or replace a mechanic's expertise. When the check engine light comes on, you see a professional. Apply the same wisdom to your health.