Accelerometer test-retest reliability by data processing algorithms: results from the Twin Cities Walking Study

J Phys Act Health. 2011 Jul;8(5):668-74. doi: 10.1123/jpah.8.5.668.

Abstract

Background: The purpose of this study was to determine 1) the test-retest reliability of adult accelerometer-measured physical activity, and 2) how data processing decisions affect physical activity levels and test-retest reliability.

Methods: 143 people wore the ActiGraph accelerometer for 2 7-day periods, 1 to 4 weeks apart. Five algorithms, varying nonwear criteria (20 vs. 60 min of 0 counts) and minimum wear requirements (6 vs. 10 hrs/day for ≥ 4 days) and a separate algorithm requiring ≥ 3 counts per min and ≥ 2 hours per day, were used to process the accelerometer data.

Results: Processing the accelerometer data with different algorithms resulted in different levels of counts per day, sedentary, and moderate-to-vigorous physical activity. Reliability correlations were very good to excellent (ICC = 0.70-0.90) for almost all algorithms and there were no significant differences between physical activity measures at Time 1 and Time 2.

Conclusions: This paper presents the first assessment of test-retest reliability of the Actigraph over separate administrations in free-living subjects. The ActiGraph was highly reliable in measuring activity over a 7-day period in natural settings but data were sensitive to the algorithms used to process them.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Algorithms*
  • Body Mass Index
  • Data Collection / instrumentation*
  • Data Collection / methods*
  • Electronic Data Processing
  • Exercise*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Minnesota
  • Reproducibility of Results
  • Residence Characteristics
  • Socioeconomic Factors