TY - JOUR
T1 - Comparing ActiGraph equations for estimating energy expenditure in older adults
AU - Aguilar-Farias, Nicolas
AU - Peeters, G. M.E.E.(Geeske)
AU - Brychta, Robert J.
AU - Chen, Kong Y.
AU - Brown, Wendy J.
N1 - Funding Information:
This work was supported by the The University of Queensland New-Staff Start-up Grant [2010003019]; Australian National Health and Medical Research Council Program grant [569940]; National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Intramural Research Funding [Z01 DK071013];National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Intramural Research Funding [Z01 DK071014];University of Queensland International scholarship. ;
Funding Information:
The authors would like to thank the participants for the time given to this study and especially Miss Marielle van der Hoorn, Mrs Pia Martino-Fuentealba and Dr Tina Skinner for their research assistance. The study was funded by The University of Queensland New-Staff Start-up Grant (ID 2010003019), GP and NAF were supported by an Australian National Health and Medical Research Council Program grant (ID569940) and NAF was supported by the University of Queensland International scholarship. KC and RB were supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Intramural Research Funding (Z01 DK071013 and Z01 DK071014).
Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2019/1/17
Y1 - 2019/1/17
N2 - Accurate estimation of energy expenditure (EE) from accelerometer outputs remains a challenge in older adults. The aim of this study was to validate different ActiGraph (AG) equations for predicting EE in older adults. Forty older adults (age = 77.4 ± 8.1 yrs) completed a set of household/gardening activities in their residence, while wearing an AG at the hip (GT3X+) and a portable calorimeter (MetaMax 3B–criterion). Predicted EEs from AG were calculated using five equations (Freedson, refined Crouter, Sasaki and Santos-Lozano (vertical-axis, vectormagnitude)). Accuracy of equations was assessed using root-mean-square error (RMSE) and mean bias. The Sasaki equation showed the lowest RMSE for all activities (0.47 METs) and across physical activity intensities (PAIs) (range 0.18–0.48 METs). The Freedson and Santos-Lozano equations tended to overestimate EE for sedentary activities (range: 0.48 to 0.97 METs), while EEs for moderate-to-vigorous activities (MVPA) were underestimated (range: −1.02 to −0.64 METs). The refined Crouter and Sasaki equations showed no systematic bias, but they respectively overestimated and underestimated EE across PAIs. In conclusion, none of the equations was completely accurate for predicting EE across the range of PAIs. However, the refined Crouter and Sasaki equations showed better overall accuracy and precision when compared with the other methods.
AB - Accurate estimation of energy expenditure (EE) from accelerometer outputs remains a challenge in older adults. The aim of this study was to validate different ActiGraph (AG) equations for predicting EE in older adults. Forty older adults (age = 77.4 ± 8.1 yrs) completed a set of household/gardening activities in their residence, while wearing an AG at the hip (GT3X+) and a portable calorimeter (MetaMax 3B–criterion). Predicted EEs from AG were calculated using five equations (Freedson, refined Crouter, Sasaki and Santos-Lozano (vertical-axis, vectormagnitude)). Accuracy of equations was assessed using root-mean-square error (RMSE) and mean bias. The Sasaki equation showed the lowest RMSE for all activities (0.47 METs) and across physical activity intensities (PAIs) (range 0.18–0.48 METs). The Freedson and Santos-Lozano equations tended to overestimate EE for sedentary activities (range: 0.48 to 0.97 METs), while EEs for moderate-to-vigorous activities (MVPA) were underestimated (range: −1.02 to −0.64 METs). The refined Crouter and Sasaki equations showed no systematic bias, but they respectively overestimated and underestimated EE across PAIs. In conclusion, none of the equations was completely accurate for predicting EE across the range of PAIs. However, the refined Crouter and Sasaki equations showed better overall accuracy and precision when compared with the other methods.
UR - http://www.scopus.com/inward/record.url?scp=85048744990&partnerID=8YFLogxK
U2 - 10.1080/02640414.2018.1488437
DO - 10.1080/02640414.2018.1488437
M3 - Article
C2 - 29912666
AN - SCOPUS:85048744990
SN - 0264-0414
VL - 37
SP - 188
EP - 195
JO - Journal of Sports Sciences
JF - Journal of Sports Sciences
IS - 2
ER -