Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS)
Abstract Background Pooling data from thigh-worn accelerometers across multiple studies has great potential to advance evidence on the health benefits of physical activity. This requires harmonization of information on body postures, physical activity types, volumes and time patterns across differen...
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doaj-a8161c6644cf49eb90fd7963b17f3f102020-11-25T03:00:25ZengBMCInternational Journal of Behavioral Nutrition and Physical Activity1479-58682019-08-011611710.1186/s12966-019-0835-0Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS)Patrick Crowley0Jørgen Skotte1Emmanuel Stamatakis2Mark Hamer3Mette Aadahl4Matthew L. Stevens5Vegar Rangul6Paul J. Mork7Andreas Holtermann8The National Research Centre for the Work EnvironmentThe National Research Centre for the Work EnvironmentSchool of Public Health, Charles Perkins Centre Prevention Research Collaboration, University of SydneySchool Sport Exercise, Health Sciences, Loughborough UniversityCenter for Clinical Research and Prevention, Bispebjerg and Frederiksberg HospitalThe National Research Centre for the Work EnvironmentHUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine, Norwegian University of Science and Technology (NTNU)Department of Public Health and Nursing, Faculty of Medicine, Norwegian University of Science and Technology (NTNU)The National Research Centre for the Work EnvironmentAbstract Background Pooling data from thigh-worn accelerometers across multiple studies has great potential to advance evidence on the health benefits of physical activity. This requires harmonization of information on body postures, physical activity types, volumes and time patterns across different brands of devices. The aim of this study is to compare the physical behavior estimates provided by three different brands of thigh-worn accelerometers. Methods Twenty participants volunteered for a 7-day free-living measurement. Three accelerometers - ActiGraph GT3X+, Axivity AX3 and ActivPAL Micro4 - were randomly placed in a vertical line on the midsection of the right thigh. Raw data from each accelerometer was processed and classified into 8 physical activities and postures using the Acti4 software. Absolute differences between estimates and the respective coefficient of variation (CV) were calculated. Results We observed very minor differences between physical behavior estimates from three different accelerometer brands. When averaged over 24 h (1,440 min), the absolute difference (CV) between accelerometers were: 1.2 mins (0.001) for lying/sitting, 3.4 mins (0.02) for standing, 3.5 mins (0.06) for moving, 1.9 mins (0.03) for walking, 0.1 mins (0.19) for running, 1.2 mins (0.19) for stair climbing, 1.9 mins (0.07) for cycling. Moreover, there was an average absolute difference of 282 steps (0.03) per 24 h. Conclusions Physical behaviors were classified with negligible difference between the accelerometer brands. These results support harmonization of data from different thigh-worn accelerometers across multiple cohorts when analyzed in an identical manner.http://link.springer.com/article/10.1186/s12966-019-0835-0HarmonizationData poolingObjective measurementTri-axialAccelerometryHealth |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Patrick Crowley Jørgen Skotte Emmanuel Stamatakis Mark Hamer Mette Aadahl Matthew L. Stevens Vegar Rangul Paul J. Mork Andreas Holtermann |
spellingShingle |
Patrick Crowley Jørgen Skotte Emmanuel Stamatakis Mark Hamer Mette Aadahl Matthew L. Stevens Vegar Rangul Paul J. Mork Andreas Holtermann Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) International Journal of Behavioral Nutrition and Physical Activity Harmonization Data pooling Objective measurement Tri-axial Accelerometry Health |
author_facet |
Patrick Crowley Jørgen Skotte Emmanuel Stamatakis Mark Hamer Mette Aadahl Matthew L. Stevens Vegar Rangul Paul J. Mork Andreas Holtermann |
author_sort |
Patrick Crowley |
title |
Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) |
title_short |
Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) |
title_full |
Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) |
title_fullStr |
Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) |
title_full_unstemmed |
Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) |
title_sort |
comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the prospective physical activity, sitting, and sleep consortium (propass) |
publisher |
BMC |
series |
International Journal of Behavioral Nutrition and Physical Activity |
issn |
1479-5868 |
publishDate |
2019-08-01 |
description |
Abstract Background Pooling data from thigh-worn accelerometers across multiple studies has great potential to advance evidence on the health benefits of physical activity. This requires harmonization of information on body postures, physical activity types, volumes and time patterns across different brands of devices. The aim of this study is to compare the physical behavior estimates provided by three different brands of thigh-worn accelerometers. Methods Twenty participants volunteered for a 7-day free-living measurement. Three accelerometers - ActiGraph GT3X+, Axivity AX3 and ActivPAL Micro4 - were randomly placed in a vertical line on the midsection of the right thigh. Raw data from each accelerometer was processed and classified into 8 physical activities and postures using the Acti4 software. Absolute differences between estimates and the respective coefficient of variation (CV) were calculated. Results We observed very minor differences between physical behavior estimates from three different accelerometer brands. When averaged over 24 h (1,440 min), the absolute difference (CV) between accelerometers were: 1.2 mins (0.001) for lying/sitting, 3.4 mins (0.02) for standing, 3.5 mins (0.06) for moving, 1.9 mins (0.03) for walking, 0.1 mins (0.19) for running, 1.2 mins (0.19) for stair climbing, 1.9 mins (0.07) for cycling. Moreover, there was an average absolute difference of 282 steps (0.03) per 24 h. Conclusions Physical behaviors were classified with negligible difference between the accelerometer brands. These results support harmonization of data from different thigh-worn accelerometers across multiple cohorts when analyzed in an identical manner. |
topic |
Harmonization Data pooling Objective measurement Tri-axial Accelerometry Health |
url |
http://link.springer.com/article/10.1186/s12966-019-0835-0 |
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