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)

Patrick Crowley*, Jørgen Skotte, Emmanuel Stamatakis, Mark Hamer, Mette Aadahl, Matthew L. Stevens, Vegar Rangul, Paul J. Mork, Andreas Holtermann

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

56 Downloads (Pure)

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.

Original languageEnglish
Article number65
JournalInternational Journal of Behavioral Nutrition and Physical Activity
Volume16
Number of pages7
ISSN1479-5868
DOIs
Publication statusPublished - 16. Aug 2019

Fingerprint

Insurance Benefits
Meta-Analysis
Equipment and Supplies
Stair Climbing

Keywords

  • Accelerometry
  • Data pooling
  • Harmonization
  • Health
  • Objective measurement
  • Posture
  • Tri-axial
  • Validation

Cite this

Crowley, Patrick ; Skotte, Jørgen ; Stamatakis, Emmanuel ; Hamer, Mark ; Aadahl, Mette ; Stevens, Matthew L. ; Rangul, Vegar ; Mork, Paul J. ; Holtermann, Andreas. / 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). In: International Journal of Behavioral Nutrition and Physical Activity. 2019 ; Vol. 16.
@article{00aef3dfb0704fcdbaf7410a79272fa7,
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)",
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.",
keywords = "Accelerometry, Data pooling, Harmonization, Health, Objective measurement, Posture, Tri-axial, Validation",
author = "Patrick Crowley and J{\o}rgen Skotte and Emmanuel Stamatakis and Mark Hamer and Mette Aadahl and Stevens, {Matthew L.} and Vegar Rangul and Mork, {Paul J.} and Andreas Holtermann",
year = "2019",
month = "8",
day = "16",
doi = "10.1186/s12966-019-0835-0",
language = "English",
volume = "16",
journal = "International Journal of Behavioral Nutrition and Physical Activity",
issn = "1479-5868",
publisher = "BioMed Central",

}

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). / Crowley, Patrick; Skotte, Jørgen; Stamatakis, Emmanuel; Hamer, Mark; Aadahl, Mette; Stevens, Matthew L.; Rangul, Vegar; Mork, Paul J.; Holtermann, Andreas.

In: International Journal of Behavioral Nutrition and Physical Activity, Vol. 16, 65, 16.08.2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Comparison of physical behavior estimates from three different thigh-worn accelerometers brands

T2 - A proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS)

AU - Crowley, Patrick

AU - Skotte, Jørgen

AU - Stamatakis, Emmanuel

AU - Hamer, Mark

AU - Aadahl, Mette

AU - Stevens, Matthew L.

AU - Rangul, Vegar

AU - Mork, Paul J.

AU - Holtermann, Andreas

PY - 2019/8/16

Y1 - 2019/8/16

N2 - 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.

AB - 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.

KW - Accelerometry

KW - Data pooling

KW - Harmonization

KW - Health

KW - Objective measurement

KW - Posture

KW - Tri-axial

KW - Validation

U2 - 10.1186/s12966-019-0835-0

DO - 10.1186/s12966-019-0835-0

M3 - Journal article

VL - 16

JO - International Journal of Behavioral Nutrition and Physical Activity

JF - International Journal of Behavioral Nutrition and Physical Activity

SN - 1479-5868

M1 - 65

ER -