Matches in UGent Biblio for { <https://biblio.ugent.be/publication/3228663#aggregation> ?p ?o. }
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- aggregation classification "A1".
- aggregation creator B607982.
- aggregation creator B607983.
- aggregation creator B607984.
- aggregation creator B607985.
- aggregation creator B607986.
- aggregation creator B607987.
- aggregation creator B607988.
- aggregation creator B607989.
- aggregation creator person.
- aggregation date "2013".
- aggregation format "application/pdf".
- aggregation hasFormat 3228663.bibtex.
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- aggregation isPartOf urn:issn:0172-4622.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Medicine and Health Sciences".
- aggregation title "Actigraph GT3X: validation and determination of physical activity intensity cut points".
- aggregation abstract "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 9 km · h-1, and repeated sit-stands (30 times · 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 · VM activity counts (counts · min-1)-0.008542 · age (years)-0.01380 · body mass (kg); for youth, METs=1.546618+0.000658 · VM activity counts (counts · min-1); for adults, METs=2.8323+0.00054 · VM activity counts (counts · min-1)-0.059123 · body mass (kg)+1.4410 · gender (women=1, men=2); and for the elderly, METs=2.5878+0.00047 · VM activity counts (counts · min-1)-0.6453 · 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.".
- aggregation authorList BK966545.
- aggregation endPage "982".
- aggregation issue "11".
- aggregation startPage "975".
- aggregation volume "35".
- aggregation aggregates 3228692.
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