A novel method for using accelerometer data to predict energy expenditure
Crouter, 2006
Description
A 2-regression method is presented in which hip-worn ActiGraph counts/min and the coefficient of variation in counts/10-s over a minute are used to determine which of two equations is used to predict METs. This approach was developed in adults performing structured activities over a range of intensities. Mean bias was 0.1 METs. This method has been updated in Crouter, 2010.
Development/Validation
Sample: 48 (24 males) healthy adults, 21-69 years of age
Setting: Laboratory, university, or home
Activities: Activities of daily living, overground walking and running, sports, stairs, stationary
Criterion: Cosmed K4b2 (VO2)
Accelerometer(s): ActiGraph 7164 on right hip
Validation approach: Holdout of 15 participants
Instructions
The models can be implemented as described below or using the TwoRegression R package.
Counts/min and the coefficient of variation (CV) for each minute (calculated using counts/10-s) are used to determine the correct equation for predicting METs.
Source Information
Reference:
Crouter, S. E., Clowers, K. G., & Bassett Jr, D. R. (2006). A novel method for using accelerometer data to predict energy expenditure. Journal of Applied Physiology, 100(4), 1324-1331. https://doi.org/10.1152/japplphysiol.00818.2005 Link to Paper
Corresponding author: Scott Crouter, sec62@cornell.edu
Contact
Kimberly Clevenger at accelerometerrepository@gmail.com