Quantifying the Varying Predictive Value of Physical Activity Measures Obtained from Wearable Accelerometers on All-Cause Mortality over Short to Medium Time Horizons in NHANES 2003–2006

Quantifying the Varying Predictive Value of Physical Activity Measures Obtained from Wearable Accelerometers on All-Cause Mortality over Short to Medium Time Horizons in NHANES 2003–2006

Physical activity measures derived from wearable accelerometers have been shown to be highly predictive of all-cause mortality. Prediction models based on traditional risk factors and accelerometry-derived physical activity measures are developed for five time horizons. The data set contains 2978 st...

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Bibliographic Details
Main Authors: Lucia Tabacu, Mark Ledbetter, Andrew Leroux, Ciprian Crainiceanu, Ekaterina Smirnova
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
accelerometry
physical activity
logistic regression
mortality
prediction horizon
NHANES
Online Access:https://www.mdpi.com/1424-8220/21/1/4

Internet

https://www.mdpi.com/1424-8220/21/1/4

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