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
C2 - 27392386
VL - 13
SP - S78-83
JO - Journal of Physical Activity and Health
JF - Journal of Physical Activity and Health
SN - 1543-3080
IS - 6 Suppl 1
ER -
