Actigraph GT3X: Validation and Determination of Physical Activity Intensity Cut Points

被引:250
|
作者
Santos-Lozano, A. [1 ,2 ]
Santin-Medeiros, F. [2 ]
Cardon, G. [3 ]
Torres-Luque, G. [4 ]
Bailon, R. [5 ,6 ]
Bergmeir, C. [7 ]
Ruiz, J. R. [8 ]
Lucia, A. [9 ]
Garatachea, N. [2 ]
机构
[1] Univ Leon, Fac Hlth Sci, Dept Biomed Sci, E-24071 Leon, Spain
[2] Univ Zaragoza, Dept Physiote & Nursing, Huesca 22001, Spain
[3] Univ Ghent, Dept Movement & Sports Sci, B-9000 Ghent, Belgium
[4] Univ Jaen, Fac Sci Educ, Jaen, Spain
[5] Univ Zaragoza, IIS Aragon, Aragon Inst Engn Res I3A, E-50009 Zaragoza, Spain
[6] CIBER Bioingn Biomat & Nanomed CIBER BBN, Madrid, Spain
[7] Univ Granada, ETS Ingn Informat & Telecomunicac, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain
[8] Univ Granada, E-18071 Granada, Spain
[9] Univ Europea Madrid, Madrid, Spain
关键词
activity monitor; physical activity intensity; energy expenditure; ESTIMATING ENERGY-EXPENDITURE; ACTIVITY MONITORS; TRIAXIAL ACCELEROMETER; 2-REGRESSION MODEL; OLDER-ADULTS; ACTICAL ACCELEROMETER; CALIBRATION; CHILDREN; MODERATE; OUTPUT;
D O I
10.1055/s-0033-1337945
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
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 9km<bold></bold>h(-1), and repeated sit-stands (30times<bold></bold>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<bold></bold>VM activity counts (counts<bold></bold>min(-1))-0.008542<bold></bold>age (years)-0.01380<bold></bold> body mass (kg); for youth, METs=1.546618+0.000658<bold></bold>VM activity counts (counts<bold></bold>min(-1)); for adults, METs=2.8323+0.00054<bold></bold>VM activity counts (counts<bold></bold>min(-1))-0.059123<bold></bold>body mass (kg)+1.4410<bold></bold>gender (women=1, men=2); and for the elderly, METs=2.5878+0.00047<bold></bold>VM activity counts (counts<bold></bold>min(-1))-0.6453<bold></bold>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.
引用
收藏
页码:975 / 982
页数:8
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