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Phone apps could record six minutes of consecutive walking to predict risk of early death

The study computes predictive models for risk stratification via population analysis for results

20-Oct-2022

Key points from article :

A new study revealed just six minutes of passively tracked movement data a day can offer robust mortality predictions.

Passively tracking motion data through smartphone sensors can effectively predict a person's five-year mortality risk with around 70% accuracy.

The research is based on a large body of evidence showing correlations between walking speed and general health. 

The researchers looked at a large dataset encompassing 100,000 participants from the UK Biobank.

The cohort wore wrist activity monitors for one week and were followed for at least five years.

Simple eye scans, blood screening, or short balance tests have all been proposed as ways to screen people for risk of early death.

A new study was published in the PLOS Digital Health.

Mentioned in this article:

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PLOS Digital Health

Interdisciplinary Open Access journal

UK BioBank

UK Biobank is a national and international health resource registered as a charity in Scotland

Topics mentioned on this page:
Digital Health, Fitness Tracker
Phone apps could record six minutes of consecutive walking to predict risk of early death