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
相关论文
共 50 条
  • [1] Validation Of The Actigraph (GT3X) Inclinometer Function
    McMahon, Gregory C.
    Brychta, Robert J.
    Chen, Kong Y.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2010, 42 (05): : 489 - 489
  • [2] Validation of the GT3X ActiGraph in children and comparison with the GT1M ActiGraph
    Haenggi, Johanna M.
    Phillips, Lisa R. S.
    Rowlands, Alex V.
    JOURNAL OF SCIENCE AND MEDICINE IN SPORT, 2013, 16 (01) : 40 - 44
  • [3] Physical Activity Assessment with the ActiGraph GT3X and Doubly Labeled Water
    Chomistek, Andrea K.
    Yuan, Changzheng
    Matthews, Charles E.
    Troiano, Richard P.
    Bowles, Heather R.
    Rood, Jennifer
    Barnett, Junaidah B.
    Willett, Walter C.
    Rimm, Eric B.
    Bassett, David R., Jr.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2017, 49 (09): : 1935 - 1944
  • [4] Generation and validation of ActiGraph GT3X+accelerometer cut-points for assessing physical activity intensity in older adults. The OUTDOOR ACTIVE validation study
    Bammann, Karin
    Thomson, Nicola K.
    Albrecht, Birte Marie
    Buchan, Duncan S.
    Easton, Chris
    PLOS ONE, 2021, 16 (06):
  • [5] Feasibility and validity of the ActiGraph GT3X accelerometer in measuring physical activity of Malawian toddlers
    Pulakka, A.
    Cheung, Y. B.
    Ashorn, U.
    Penpraze, V.
    Maleta, K.
    Phuka, J. C.
    Ashom, P.
    ACTA PAEDIATRICA, 2013, 102 (12) : 1192 - 1198
  • [6] Validation of the ActiGraph GT3X and activPAL Accelerometers for the Assessment of Sedentary Behavior
    Kim, Youngdeok
    Barry, Vaughn W.
    Kang, Minsoo
    MEASUREMENT IN PHYSICAL EDUCATION AND EXERCISE SCIENCE, 2015, 19 (03) : 125 - 137
  • [7] Concurrent Validity of the MOX Activity Monitor Compared to the ActiGraph GT3X
    van der Weegen, Sanne
    Essers, Hans
    Spreeuwenberg, Marieke
    Verwey, Renee
    Tange, Huibert
    de Witte, Luc
    Meijer, Kenneth
    TELEMEDICINE AND E-HEALTH, 2015, 21 (04) : 259 - 266
  • [8] Cut points of the Actigraph GT9X for moderate and vigorous intensity physical activity at four different wear locations
    Rhudy, Matthew B.
    Dreisbach, Scott B.
    Moran, Matthew D.
    Ruggiero, Marissa J.
    Veerabhadrappa, Praveen
    JOURNAL OF SPORTS SCIENCES, 2020, 38 (05) : 503 - 510
  • [9] Detecting prolonged sitting bouts with the ActiGraph GT3X
    Kuster, Roman P.
    Grooten, Wilhelmus J. A.
    Baumgartner, Daniel
    Blom, Victoria
    Hagstromer, Maria
    Ekblom, Orjan
    SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS, 2020, 30 (03) : 572 - 582
  • [10] Translation equations to compare ActiGraph GT3X and Actical accelerometers activity counts
    Leon Straker
    Amity Campbell
    BMC Medical Research Methodology, 12