期刊
JOURNAL OF SPORTS SCIENCES
卷 37, 期 2, 页码 188-195出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/02640414.2018.1488437
关键词
Accelerometry; aging; measurement; motion sensors; physical activity
资金
- 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 Fund [Z01 DK071013, Z01 DK071014]
- University of Queensland International scholarship
- NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [ZICDK071013, ZIADK071014] Funding Source: NIH RePORTER
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据