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

Phase Designation

(What's this?)

This model is in Phase 2.

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