Clinical Report: Cardiovascular Fitness Age from Wearable Devices and Its Association
Overview
This study evaluates the Cardio Age derived from wearable devices in 442 adults, revealing significant associations with various lifestyle factors.
Background
Cardiovascular age is a valuable tool for communicating risk and understanding cardiovascular health. Traditional methods of estimating cardiovascular age require clinical testing, which limits accessibility. The advent of consumer wearables that estimate cardiovascular fitness age from heart rate data allows for continuous health monitoring.
Data Highlights
Metric
Mean CA Gap (years)
Overall
-1.84 ± 2.97
Underweight
-3.73
Obese
-0.52
Key Findings
82.6% of participants exhibited younger estimated cardiovascular ages.
Significant associations were found between Cardio Age and sleep efficiency (r = -0.194, p < 0.001).
Users with the youngest cardiovascular ages slept 37 minutes longer than those with the oldest ages.
Sustained improvers over 12 months showed a mean CA reduction of 3.24 years.
Improving trajectories were associated with decreased resting heart rate (-0.8 bpm, p < 0.001).
Clinical Implications
The findings indicate that wearable-derived Cardio Age can provide insights into lifestyle factors affecting cardiovascular health.
Conclusion
Cardio Age derived from wearable devices reflects variations in cardiovascular fitness.
