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New biological ageing clock based on movement data from a wearable device


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Researchers developed a biological aging clock based on movement data from wearable devices.

Wearable devices emerged as a natural source of data for biomarkers of aging.

Gero launched one such clock with a downloadable app that derives biological age from physical activity.

This study was performed using the NHANES database.

Researchers trained their model, MoveAge, on 2,634 people aged 18+.

Proved to be fairly predictive of chronological age and mortality in people aged 40-70.

A strong negative correlation was found between biological age and the consumption of fiber, magnesium, and vitamin E.

Correlation was weaker with drugs, except doxazosin; a modest lifespan extension in C. elegans treated with the drug.

However, movement clock can be contaminated by many factors, such as a temporary drop in physical activity.

Non-intrusive clocks might soon threaten the hegemony of blood-based biomarkers of aging.

Study by UvA published in Frontiers in Aging.

Tracks biological age from physical activity without requiring a blood test

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Journal providing information on the mechanisms of Central Nervous System aging.


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