Actigraph GT3X

Validation and determination of physical activity intensity cut points

A. Santos-Lozano, F. Santín-Medeiros, G. Cardon, G. Torres-Luque, R. Bailón, C. Bergmeir, Jonatan R Ruiz, A. Lucia, N. Garatachea

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The aims of this study were: to compare energy expenditure (EE) estimated from the existing GT3X accelerometer equations and EE measured with indirect calorimetry; to define new equations for EE estimation with the GT3X in youth, adults and older people; and to define GT3X vector magnitude (VM) cut points allowing to classify PA intensity in the aforementioned age-groups. The study comprised 31 youth, 31 adults and 35 older people. Participants wore the GT3X (setup: 1-s epoch) over their right hip during 6 conditions of 10-min duration each: resting, treadmill walking/running at 3, 5, 7, and 9 km · h -1, and repeated sit-stands (30 times · min-1). The GT3X proved to be a good tool to predict EE in youth and adults (able to discriminate between the aforementioned conditions), but not in the elderly. We defined the following equations: for all age-groups combined, EE (METs)=2.7406+0.00056 · VM activity counts (counts · min -1)-0.008542 · age (years)-0.01380 · body mass (kg); for youth, METs=1.546618+0.000658 · VM activity counts (counts · min-1); for adults, METs=2.8323+0.00054 · VM activity counts (counts · min-1)-0.059123 · body mass (kg)+1.4410 · gender (women=1, men=2); and for the elderly, METs=2.5878+0.00047 · VM activity counts (counts · min-1)-0.6453 · gender (women=1, men=2). Activity counts derived from the VM yielded a more accurate EE estimation than those derived from the Y-axis. The GT3X represents a step forward in triaxial technology estimating EE. However, age-specific equations must be used to ensure the correct use of this device.

Original languageEnglish
Pages (from-to)975-982
Number of pages8
JournalInternational Journal of Sports Medicine
Volume34
Issue number11
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • activity monitor
  • energy expenditure
  • physical activity intensity

Cite this

Santos-Lozano, A., Santín-Medeiros, F., Cardon, G., Torres-Luque, G., Bailón, R., Bergmeir, C., ... Garatachea, N. (2013). Actigraph GT3X: Validation and determination of physical activity intensity cut points. International Journal of Sports Medicine, 34(11), 975-982. https://doi.org/10.1055/s-0033-1337945
Santos-Lozano, A. ; Santín-Medeiros, F. ; Cardon, G. ; Torres-Luque, G. ; Bailón, R. ; Bergmeir, C. ; Ruiz, Jonatan R ; Lucia, A. ; Garatachea, N. / Actigraph GT3X : Validation and determination of physical activity intensity cut points. In: International Journal of Sports Medicine. 2013 ; Vol. 34, No. 11. pp. 975-982.
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abstract = "The aims of this study were: to compare energy expenditure (EE) estimated from the existing GT3X accelerometer equations and EE measured with indirect calorimetry; to define new equations for EE estimation with the GT3X in youth, adults and older people; and to define GT3X vector magnitude (VM) cut points allowing to classify PA intensity in the aforementioned age-groups. The study comprised 31 youth, 31 adults and 35 older people. Participants wore the GT3X (setup: 1-s epoch) over their right hip during 6 conditions of 10-min duration each: resting, treadmill walking/running at 3, 5, 7, and 9 km · h -1, and repeated sit-stands (30 times · min-1). The GT3X proved to be a good tool to predict EE in youth and adults (able to discriminate between the aforementioned conditions), but not in the elderly. We defined the following equations: for all age-groups combined, EE (METs)=2.7406+0.00056 · VM activity counts (counts · min -1)-0.008542 · age (years)-0.01380 · body mass (kg); for youth, METs=1.546618+0.000658 · VM activity counts (counts · min-1); for adults, METs=2.8323+0.00054 · VM activity counts (counts · min-1)-0.059123 · body mass (kg)+1.4410 · gender (women=1, men=2); and for the elderly, METs=2.5878+0.00047 · VM activity counts (counts · min-1)-0.6453 · gender (women=1, men=2). Activity counts derived from the VM yielded a more accurate EE estimation than those derived from the Y-axis. The GT3X represents a step forward in triaxial technology estimating EE. However, age-specific equations must be used to ensure the correct use of this device.",
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Santos-Lozano, A, Santín-Medeiros, F, Cardon, G, Torres-Luque, G, Bailón, R, Bergmeir, C, Ruiz, JR, Lucia, A & Garatachea, N 2013, 'Actigraph GT3X: Validation and determination of physical activity intensity cut points', International Journal of Sports Medicine, vol. 34, no. 11, pp. 975-982. https://doi.org/10.1055/s-0033-1337945

Actigraph GT3X : Validation and determination of physical activity intensity cut points. / Santos-Lozano, A.; Santín-Medeiros, F.; Cardon, G.; Torres-Luque, G.; Bailón, R.; Bergmeir, C.; Ruiz, Jonatan R; Lucia, A.; Garatachea, N.

In: International Journal of Sports Medicine, Vol. 34, No. 11, 2013, p. 975-982.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Actigraph GT3X

T2 - Validation and determination of physical activity intensity cut points

AU - Santos-Lozano, A.

AU - Santín-Medeiros, F.

AU - Cardon, G.

AU - Torres-Luque, G.

AU - Bailón, R.

AU - Bergmeir, C.

AU - Ruiz, Jonatan R

AU - Lucia, A.

AU - Garatachea, N.

PY - 2013

Y1 - 2013

N2 - The aims of this study were: to compare energy expenditure (EE) estimated from the existing GT3X accelerometer equations and EE measured with indirect calorimetry; to define new equations for EE estimation with the GT3X in youth, adults and older people; and to define GT3X vector magnitude (VM) cut points allowing to classify PA intensity in the aforementioned age-groups. The study comprised 31 youth, 31 adults and 35 older people. Participants wore the GT3X (setup: 1-s epoch) over their right hip during 6 conditions of 10-min duration each: resting, treadmill walking/running at 3, 5, 7, and 9 km · h -1, and repeated sit-stands (30 times · min-1). The GT3X proved to be a good tool to predict EE in youth and adults (able to discriminate between the aforementioned conditions), but not in the elderly. We defined the following equations: for all age-groups combined, EE (METs)=2.7406+0.00056 · VM activity counts (counts · min -1)-0.008542 · age (years)-0.01380 · body mass (kg); for youth, METs=1.546618+0.000658 · VM activity counts (counts · min-1); for adults, METs=2.8323+0.00054 · VM activity counts (counts · min-1)-0.059123 · body mass (kg)+1.4410 · gender (women=1, men=2); and for the elderly, METs=2.5878+0.00047 · VM activity counts (counts · min-1)-0.6453 · gender (women=1, men=2). Activity counts derived from the VM yielded a more accurate EE estimation than those derived from the Y-axis. The GT3X represents a step forward in triaxial technology estimating EE. However, age-specific equations must be used to ensure the correct use of this device.

AB - The aims of this study were: to compare energy expenditure (EE) estimated from the existing GT3X accelerometer equations and EE measured with indirect calorimetry; to define new equations for EE estimation with the GT3X in youth, adults and older people; and to define GT3X vector magnitude (VM) cut points allowing to classify PA intensity in the aforementioned age-groups. The study comprised 31 youth, 31 adults and 35 older people. Participants wore the GT3X (setup: 1-s epoch) over their right hip during 6 conditions of 10-min duration each: resting, treadmill walking/running at 3, 5, 7, and 9 km · h -1, and repeated sit-stands (30 times · min-1). The GT3X proved to be a good tool to predict EE in youth and adults (able to discriminate between the aforementioned conditions), but not in the elderly. We defined the following equations: for all age-groups combined, EE (METs)=2.7406+0.00056 · VM activity counts (counts · min -1)-0.008542 · age (years)-0.01380 · body mass (kg); for youth, METs=1.546618+0.000658 · VM activity counts (counts · min-1); for adults, METs=2.8323+0.00054 · VM activity counts (counts · min-1)-0.059123 · body mass (kg)+1.4410 · gender (women=1, men=2); and for the elderly, METs=2.5878+0.00047 · VM activity counts (counts · min-1)-0.6453 · gender (women=1, men=2). Activity counts derived from the VM yielded a more accurate EE estimation than those derived from the Y-axis. The GT3X represents a step forward in triaxial technology estimating EE. However, age-specific equations must be used to ensure the correct use of this device.

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