Wearable-derived cardiovascular fitness age and its lifestyle correlates in 442 adults
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By
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Aditi Shanmugam
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Kanika Gupta
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Nihav Dhawale
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Vatsal Singhal
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Mohit Kumar
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Bhuvan Srinivasan
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Vinayak Narasimhan
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July 7, 2026
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Clinical Scorecard: Cardiovascular Fitness Age from Wearable Devices and Its Association with Lifestyle Factors in 442 Adults
At a Glance
| Category | Detail |
|---|
| Condition | Cardiovascular Fitness Age |
| Key Mechanisms | Estimation of cardiorespiratory fitness age from heart rate data via wearable devices. |
| Target Population | Adults using wearable health technology. |
| Care Setting | Continuous, passive health monitoring. |
Key Highlights
- 82.6% of participants exhibited younger estimated cardiovascular ages.
- Significant associations found between Cardio Age and lifestyle metrics such as sleep efficiency and daily steps.
- Sustained improvers showed a mean Cardio Age reduction of 3.24 years over 12 months.
Guideline-Based Recommendations
Diagnosis
- Use Cardio Age as a risk-communication tool to translate physiological data.
Management
- Monitor lifestyle factors such as sleep and physical activity to improve Cardio Age.
Monitoring & Follow-up
- Utilize wearable devices for continuous assessment of cardiovascular fitness.
Risks
- Consider the limitations of wearable-derived estimates in clinical settings.
Patient & Prescribing Data
Adults using the Ultrahuman Ring.
Lifestyle modifications can lead to improved Cardio Age.
Clinical Best Practices
- Encourage regular monitoring of cardiovascular fitness through wearable devices.
- Integrate lifestyle factors into cardiovascular health assessments.
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