Validity of an integrative method for processing physical activity data
Ellingson, 2016
Last update: January 15, 2022. Updates will occur every 3 months.
Validity of an integrative method for processing physical activity data
Ellingson, 2016
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%.
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
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/
Download all files as a .zip or download individual files below.
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
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
Kimberly Clevenger at accelerometerrepository@gmail.com