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Published VersionCC BY V4.0, Open Access
Journal article
Feasibility Study Comparing Physical Activity Classifications from Accelerometers with Wearable Camera Data
International Journal of Environmental Research and Public Health, Vol.17(24), pp.1-13
2020
PMID: 33322117
Abstract
Device-based assessments are frequently used to measure physical activity (PA) but contextual measures are often lacking. There is a need for new methods, and one under-explored option is the use of wearable cameras. This study tested the use of wearable cameras in PA measurement by comparing intensity classifications from accelerometers with wearable camera data. Seventy-eight 18-30-year-olds wore an Actigraph GT9X link accelerometer and Autographer wearable camera for three consecutive days. An image coding schedule was designed to assess activity categories and activity sub-categories defined by the 2011 Compendium of Physical Activities (Compendium). Accelerometer hourly detailed files processed using the Montoye (2020) cut-points were linked to camera data using date and time stamps. Agreement was examined using equivalence testing, intraclass correlation coefficient (ICC) and Spearman's correlation coefficient (rho). Fifty-three participants contributing 636 person-hours were included. Reliability was moderate to good for sedentary behavior (rho = 0.77), light intensity activities (rho = 0.59) and moderate-to-vigorous physical activity (MVPA) (rho = 0.51). The estimates of sedentary behavior, light activity and MVPA from the two methods were similar, but not equivalent. Wearable cameras are a potential complementary tool for PA measurement, but practical challenges and limitations exist. While wearable cameras may not be feasible for use in large scale studies, they may be feasible in small scale studies where context is important.
Details
- Title
- Feasibility Study Comparing Physical Activity Classifications from Accelerometers with Wearable Camera Data
- Authors
- Alyse Davies (Corresponding Author) - The University of SydneyMargaret Allman-Farinelli - The University of SydneyKatherine Owen - The University of SydneyLouise Signal - University of OtagoCameron Hosking - Commonwealth Scientific and Industrial Research OrganisationLeanne Wang - The University of SydneyAdrian Bauman - The University of Sydney
- Publication details
- International Journal of Environmental Research and Public Health, Vol.17(24), pp.1-13
- Publisher
- MDPI AG
- Date published
- 2020
- DOI
- 10.3390/ijerph17249323
- ISSN
- 1660-4601; 1661-7827
- PMID
- 33322117
- Copyright note
- © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
- Organisation Unit
- School of Health - Nutrition & Dietetics
- Language
- English
- Record Identifier
- 991104336402621
- Output Type
- Journal article
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