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

Phase Designation

(What's this?)

This model is in Phase 2.

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