A new 2-regression model for the Actical accelerometer
Crouter, 2007
Description
A 2-regression method is presented in which hip-worn Actical counts/min and the coefficient of variation in counts/15-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 and average Root Mean Square Error (RMSE) across activities was 0.81 METs. This method has been updated in Crouter, 2011.
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): Actical on right hip
Validation approach: Holdout of 15 participants
Instructions
Counts/min and the coefficient of variation (CV) for each minute (calculated using counts/15 s) are used to determine the correct equation for predicting METs.
Source Information
Reference:
Crouter, S. E., & Bassett, D. R. (2008). A new 2-regression model for the Actical accelerometer. British Journal of Sports Medicine, 42(3), 217-224. https://doi.org/10.1136/bjsm.2006.033399 Link to Paper
Corresponding author: Scott Crouter, Scott.crouter@umb.edu
Contact
Kimberly Clevenger at accelerometerrepository@gmail.com