Description

This modified Sojourn method uses count data from an ActiGraph worn on the right hip and activity code from an ActivPal3 on the right thigh to estimate physical activity intensity. It was validated in healthy adults who performed primarily locomotive activities in the lab. Overall classification accuracy was 78.7%.

Development/Validation

Sample: 49 (31 females) healthy adults, 18-40 years of age

Setting: Laboratory

Activities: Cycling, sports, stairs, stationary, treadmill walking and running

Criterion: Oxycon Mobile (VO₂), direct observation and compendium

Accelerometer(s): ActiGraph GT3X+ on right hip and ActivPal3 on right thigh

Validation approach: Comparison with criterion

Phase Designation

(What's this?)

This model is in Phase 1.

Instructions

The models can be implemented as described below or using the Sojourn R package.

The R code can be used to read in a csv file in the ActiGraph export format (with 10 rows of header information) and an ActivPal file. The Sojourn method is then used and a csv is exported with METs and activity intensity classification. Further instructions are in the R code. More information about R is found here.

This code relies on R software which can be downloaded for free at https://www.r-project.org/

Attached Files

Download all files as a .zip or download individual files below.

Code

Example ActiGraph data

Example ActivPal data

Necessary R models (cent.1, scal.1, class.nnn.use.this) and functions and this file

Note: Compared to the original source, code were edited for consistency but example data and models/functions were unchanged

Source Information

Reference:

Ellingson, L. D., Schwabacher, I. J., Kim, Y., Welk, G. J., & Cook, D. B. (2016). Validity of an integrative method for processing physical activity data. Medicine and Science in Sports and Exercise, 48(8), 1629-1638. https://doi.org/10.1249/MSS.0000000000000915 Link to paper

Original source for code:

https://github.com/ischwabacher/SIP

Corresponding author: Laura D. Ellingson, ellingl@iastate.edu

Contact

Kimberly Clevenger at accelerometerrepository@gmail.com