Predictive validity of a thigh-worn accelerometer METs algorithm in 5- to 12-Year-old children

Christiana M. T. van Loo, Anthony D. Okely, Marijka J. Batterham, Trina Hinkley, Ulf Ekelund, Søren Brage, John J. Reilly, Gregory E Peoples, Rachel Jones, Xanne Janssen, Dylan P. Cliff

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

BACKGROUND: To validate the activPAL3 algorithm for predicting metabolic equivalents (TAMETs) and classifying MVPA in 5- to 12-year-old children.

METHODS: Fifty-seven children (9.2 ± 2.3y, 49.1% boys) completed 14 activities including sedentary behaviors (SB), light (LPA) and moderate-to-vigorous physical activities (MVPA). Indirect calorimetry (IC) was used as the criterion measure. Analyses included equivalence testing, Bland-Altman procedures and area under the receiver operating curve (ROC-AUC).

RESULTS: At the group level, TAMETs were significantly equivalent to IC for handheld e-game, writing/coloring, and standing class activity (P < .05). Overall, TAMETs were overestimated for SB (7.9 ± 6.7%) and LPA (1.9 ± 20.2%) and underestimated for MVPA (27.7 ± 26.6%); however, classification accuracy of MVPA was good (ROC-AUC = 0.86). Limits of agreement were wide for all activities, indicating large individual error (SB: -27.6% to 44.7%; LPA: -47.1% to 51.0%; MVPA: -88.8% to 33.9%).

CONCLUSIONS: TAMETs were accurate for some SB and standing, but were overestimated for overall SB and LPA, and underestimated for MVPA. Accuracy for classifying MVPA was, however, acceptable.

LanguageEnglish
PagesS78-83
Number of pages6
JournalJournal of Physical Activity and Health
Volume13
Issue number6 Suppl 1
DOIs
Publication statusAccepted/In press - 17 Jun 2016

Fingerprint

Thigh
Metabolic Equivalent
Exercise
Indirect Calorimetry
Area Under Curve
ROC Curve
Light

Keywords

  • energy expenditure
  • physical activity
  • accelerometry
  • calorimetry
  • sedentary behavior
  • children
  • accelerometer
  • algorithm
  • metabolic equivalents

Cite this

van Loo, C. M. T., Okely, A. D., Batterham, M. J., Hinkley, T., Ekelund, U., Brage, S., ... Cliff, D. P. (Accepted/In press). Predictive validity of a thigh-worn accelerometer METs algorithm in 5- to 12-Year-old children. Journal of Physical Activity and Health, 13(6 Suppl 1), S78-83. https://doi.org/10.1123/jpah.2015-0721
van Loo, Christiana M. T. ; Okely, Anthony D. ; Batterham, Marijka J. ; Hinkley, Trina ; Ekelund, Ulf ; Brage, Søren ; Reilly, John J. ; Peoples, Gregory E ; Jones, Rachel ; Janssen, Xanne ; Cliff, Dylan P. / Predictive validity of a thigh-worn accelerometer METs algorithm in 5- to 12-Year-old children. In: Journal of Physical Activity and Health. 2016 ; Vol. 13, No. 6 Suppl 1. pp. S78-83.
@article{aeb209038fd2457a9c3720957b1042cd,
title = "Predictive validity of a thigh-worn accelerometer METs algorithm in 5- to 12-Year-old children",
abstract = "BACKGROUND: To validate the activPAL3 algorithm for predicting metabolic equivalents (TAMETs) and classifying MVPA in 5- to 12-year-old children.METHODS: Fifty-seven children (9.2 ± 2.3y, 49.1{\%} boys) completed 14 activities including sedentary behaviors (SB), light (LPA) and moderate-to-vigorous physical activities (MVPA). Indirect calorimetry (IC) was used as the criterion measure. Analyses included equivalence testing, Bland-Altman procedures and area under the receiver operating curve (ROC-AUC).RESULTS: At the group level, TAMETs were significantly equivalent to IC for handheld e-game, writing/coloring, and standing class activity (P < .05). Overall, TAMETs were overestimated for SB (7.9 ± 6.7{\%}) and LPA (1.9 ± 20.2{\%}) and underestimated for MVPA (27.7 ± 26.6{\%}); however, classification accuracy of MVPA was good (ROC-AUC = 0.86). Limits of agreement were wide for all activities, indicating large individual error (SB: -27.6{\%} to 44.7{\%}; LPA: -47.1{\%} to 51.0{\%}; MVPA: -88.8{\%} to 33.9{\%}).CONCLUSIONS: TAMETs were accurate for some SB and standing, but were overestimated for overall SB and LPA, and underestimated for MVPA. Accuracy for classifying MVPA was, however, acceptable.",
keywords = "energy expenditure, physical activity, accelerometry, calorimetry, sedentary behavior, children, accelerometer, algorithm, metabolic equivalents",
author = "{van Loo}, {Christiana M. T.} and Okely, {Anthony D.} and Batterham, {Marijka J.} and Trina Hinkley and Ulf Ekelund and S{\o}ren Brage and Reilly, {John J.} and Peoples, {Gregory E} and Rachel Jones and Xanne Janssen and Cliff, {Dylan P.}",
note = "Accepted author manuscript version reprinted, by permission, from Journal of Physical Activity and Health, 2016 (in press). {\circledC} Human Kinetics, Inc.",
year = "2016",
month = "6",
day = "17",
doi = "10.1123/jpah.2015-0721",
language = "English",
volume = "13",
pages = "S78--83",
journal = "Journal of Physical Activity and Health",
issn = "1543-3080",
number = "6 Suppl 1",

}

van Loo, CMT, Okely, AD, Batterham, MJ, Hinkley, T, Ekelund, U, Brage, S, Reilly, JJ, Peoples, GE, Jones, R, Janssen, X & Cliff, DP 2016, 'Predictive validity of a thigh-worn accelerometer METs algorithm in 5- to 12-Year-old children' Journal of Physical Activity and Health, vol. 13, no. 6 Suppl 1, pp. S78-83. https://doi.org/10.1123/jpah.2015-0721

Predictive validity of a thigh-worn accelerometer METs algorithm in 5- to 12-Year-old children. / van Loo, Christiana M. T.; Okely, Anthony D.; Batterham, Marijka J.; Hinkley, Trina; Ekelund, Ulf; Brage, Søren; Reilly, John J.; Peoples, Gregory E; Jones, Rachel; Janssen, Xanne; Cliff, Dylan P.

In: Journal of Physical Activity and Health, Vol. 13, No. 6 Suppl 1, 17.06.2016, p. S78-83.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Predictive validity of a thigh-worn accelerometer METs algorithm in 5- to 12-Year-old children

AU - van Loo, Christiana M. T.

AU - Okely, Anthony D.

AU - Batterham, Marijka J.

AU - Hinkley, Trina

AU - Ekelund, Ulf

AU - Brage, Søren

AU - Reilly, John J.

AU - Peoples, Gregory E

AU - Jones, Rachel

AU - Janssen, Xanne

AU - Cliff, Dylan P.

N1 - Accepted author manuscript version reprinted, by permission, from Journal of Physical Activity and Health, 2016 (in press). © Human Kinetics, Inc.

PY - 2016/6/17

Y1 - 2016/6/17

N2 - BACKGROUND: To validate the activPAL3 algorithm for predicting metabolic equivalents (TAMETs) and classifying MVPA in 5- to 12-year-old children.METHODS: Fifty-seven children (9.2 ± 2.3y, 49.1% boys) completed 14 activities including sedentary behaviors (SB), light (LPA) and moderate-to-vigorous physical activities (MVPA). Indirect calorimetry (IC) was used as the criterion measure. Analyses included equivalence testing, Bland-Altman procedures and area under the receiver operating curve (ROC-AUC).RESULTS: At the group level, TAMETs were significantly equivalent to IC for handheld e-game, writing/coloring, and standing class activity (P < .05). Overall, TAMETs were overestimated for SB (7.9 ± 6.7%) and LPA (1.9 ± 20.2%) and underestimated for MVPA (27.7 ± 26.6%); however, classification accuracy of MVPA was good (ROC-AUC = 0.86). Limits of agreement were wide for all activities, indicating large individual error (SB: -27.6% to 44.7%; LPA: -47.1% to 51.0%; MVPA: -88.8% to 33.9%).CONCLUSIONS: TAMETs were accurate for some SB and standing, but were overestimated for overall SB and LPA, and underestimated for MVPA. Accuracy for classifying MVPA was, however, acceptable.

AB - BACKGROUND: To validate the activPAL3 algorithm for predicting metabolic equivalents (TAMETs) and classifying MVPA in 5- to 12-year-old children.METHODS: Fifty-seven children (9.2 ± 2.3y, 49.1% boys) completed 14 activities including sedentary behaviors (SB), light (LPA) and moderate-to-vigorous physical activities (MVPA). Indirect calorimetry (IC) was used as the criterion measure. Analyses included equivalence testing, Bland-Altman procedures and area under the receiver operating curve (ROC-AUC).RESULTS: At the group level, TAMETs were significantly equivalent to IC for handheld e-game, writing/coloring, and standing class activity (P < .05). Overall, TAMETs were overestimated for SB (7.9 ± 6.7%) and LPA (1.9 ± 20.2%) and underestimated for MVPA (27.7 ± 26.6%); however, classification accuracy of MVPA was good (ROC-AUC = 0.86). Limits of agreement were wide for all activities, indicating large individual error (SB: -27.6% to 44.7%; LPA: -47.1% to 51.0%; MVPA: -88.8% to 33.9%).CONCLUSIONS: TAMETs were accurate for some SB and standing, but were overestimated for overall SB and LPA, and underestimated for MVPA. Accuracy for classifying MVPA was, however, acceptable.

KW - energy expenditure

KW - physical activity

KW - accelerometry

KW - calorimetry

KW - sedentary behavior

KW - children

KW - accelerometer

KW - algorithm

KW - metabolic equivalents

UR - http://journals.humankinetics.com/journal/jpah

U2 - 10.1123/jpah.2015-0721

DO - 10.1123/jpah.2015-0721

M3 - Article

VL - 13

SP - S78-83

JO - Journal of Physical Activity and Health

T2 - Journal of Physical Activity and Health

JF - Journal of Physical Activity and Health

SN - 1543-3080

IS - 6 Suppl 1

ER -