Objectives: The purpose of this study was to examine the convergent validity of the Actical and activPAL to measure sedentary behaviour (SB) and non-SB in preschoolers in a free-living environment.
Design: A convenience sample of 49 preschoolers (22 boys; 4.0 ± 0.5 years) from six early childhood centres in Auckland, New Zealand were included in data analysis.
Methods: Participants wore a hip-mounted Actical and a thigh-mounted activPAL accelerometer simultaneously during centre attendance for one day and data were collected in 15s epochs. Bland-Altman tests were used to assess differences in group mean minutes and percentage of time in (non-)SB between both monitors. Agreement between binary coded (SB vs. non-SB) 15s-by-15s Actical and activPAL data was evaluated by calculating percentage agreement and κ statistic.
Results: The monitors were worn on average for 294.8 ± 46.3 min resulting in a total of 57,780 15s epochs. Bland-Altman tests suggested a small group mean difference in (non-)SB (1.3 min; 0.1%) and a wide prediction interval (121.3 min; 39.2%). No obvious systematic bias was observed in the Bland-Altman plot. Percentage agreement between the 15s-by-15s Actical and activPAL data of all participants was 73.0% (inter-child range: 36.8-93.8%). The κ statistic showed moderate agreement with a value of 0.46 (95% CI: 0.45-0.47).
Conclusions: Although the group mean estimate of (non-)SB was similar between the Actical and activPAL, the output of both monitors cannot be considered convergent as meaningful random disagreement was found between both monitors.
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http://dx.doi.org/10.1016/j.jsams.2012.03.014 | DOI Listing |
Int J Stroke
October 2023
Centre for Research Excellence in Stroke Rehabilitation and Recovery, Florey Institute of Neuroscience, The University of Melbourne, Parkville, VIC, Australia.
Background: Physical activity is important for secondary stroke prevention. Currently, there is inconsistency of outcomes and tools used to measure physical activity following stroke.
Aim: To establish internationally agreed recommendations to enable consistent measurement of post-stroke physical activity.
Int J Behav Nutr Phys Act
September 2022
College of Health and Human Services, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223, USA.
Background: Standardized validation indices (i.e., accuracy, bias, and precision) provide a comprehensive comparison of step counting wearable technologies.
View Article and Find Full Text PDFInt J Behav Nutr Phys Act
November 2021
The Centre for Translational Research in Public Health (Fuse), Newcastle upon Tyne, UK.
Int J Behav Nutr Phys Act
July 2021
College of Health and Human Services, University of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC, 28223, USA.
Background: Wearable technologies play an important role in measuring physical activity (PA) and promoting health. Standardized validation indices (i.e.
View Article and Find Full Text PDFInt J Exerc Sci
June 2018
Department of Applied Human Sciences, Faculty of Science, University of Prince Edward Island, Charlottetown, PE, CANADA.
Although pedometers are valid tools for measuring physical activity, to date they have not been used to assess sedentary time. The primary purpose of this study was to determine if the PiezoRx pedometer is a valid and reliable measure of sedentary time compared to the hip-worn Actical accelerometer. A secondary purpose was to compare sedentary time derived via the Fitbit Flex with that of the Actical.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!