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A wearable-based aging clock associates with disease and behavior
A wearable device’s aging measure is linked to health and behavior
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Abstract
An observational analysis of 213,593 participants reveals that , an aging clock derived from wrist photoplethysmography, accurately predicts chronological age.
- PpgAge captures indicators of healthy aging and is based on non-invasive, continuous measurements from a consumer wearable.
- Participants with a higher PpgAge gap, indicating a predicted age older than their actual age, show increased diagnosis rates of heart disease, heart failure, and diabetes.
- The elevated PpgAge gap is linked to a higher risk of future heart disease events and new diagnoses when accounting for other risk factors.
- PpgAge is associated with lifestyle behaviors such as smoking, exercise, and sleep patterns.
- Notable increases in PpgAge are observed during pregnancy and in conjunction with specific cardiac events.
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Key numbers
2.43 years
of Age Prediction
in predicting chronological age across participants.
3.6% vs. 1.0%
Heart Disease Increase
Heart disease diagnosis rates for participants with >6 year vs. <−2 year .