Literature DB >> 19204590

Energy cost in children assessed by multisensor activity monitors.

Daniel Arvidsson1, Frode Slinde, Sven Larsson, Lena Hulthén.   

Abstract

PURPOSE: The SenseWear Pro2 Armband (SWA; BodyMedia, Inc., Pittsburg, PA), the Intelligent Device for Energy Expenditure and Activity (IDEEA; Minisun LLC, Fresno, CA), and the ActiReg (AR; PreMed AS, Oslo, Norway) were compared with indirect calorimetry to determine the ability of these devices to assess energy cost in children during resting and different physical activities.
METHODS: Fourteen children, 11-13 yr old, wore the SWA, the IDEEA, and the AR during resting, sitting, stationary bicycling, jumping on a trampoline, playing basketball, stair walking, and walking/running along a 50-m track. The Oxycon Mobile portable metabolic system (VIASYS Healthcare, Conshohocken, PA) was used as the criterion method for energy cost.
RESULTS: For resting and sitting, the three activity monitors showed comparable results, but none of them accurately assessed energy cost for stationary bicycling, jumping on a trampoline, or playing basketball. The IDEEA was the only activity monitor that accurately assessed energy cost for stair walking. Also, the IDEEA showed a close estimate of energy cost across the walking and the running intensities, whereas the SWA accurately assessed energy cost for slow to normal walking but showed increased underestimation of energy cost with increasing speed. The AR overestimated energy cost during walking and during slow running but did not respond to increasing running speed.
CONCLUSIONS: To be able to capture children's physical activity, all three activity monitors need to be further developed. Overall, the IDEEA showed the highest ability to assess energy cost in this study, but SWA may be more feasible for use in children under free-living conditions.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19204590     DOI: 10.1249/MSS.0b013e31818896f4

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  16 in total

1.  Evaluation of the Oxycon Mobile metabolic system against the Douglas bag method.

Authors:  Hans Rosdahl; Lennart Gullstrand; Jane Salier-Eriksson; Patrik Johansson; Peter Schantz
Journal:  Eur J Appl Physiol       Date:  2009-12-31       Impact factor: 3.078

2.  Establishing and evaluating wrist cutpoints for the GENEActiv accelerometer in youth.

Authors:  Christine A Schaefer; Claudio R Nigg; James O Hill; Lois A Brink; Raymond C Browning
Journal:  Med Sci Sports Exerc       Date:  2014-04       Impact factor: 5.411

3.  Validation of the Sensewear Armband during recreational in-line skating.

Authors:  Maroje Soric; Pavle Mikulic; Marjeta Misigoj-Durakovic; Lana Ruzic; Goran Markovic
Journal:  Eur J Appl Physiol       Date:  2011-06-17       Impact factor: 3.078

Review 4.  Computational methods for estimating energy expenditure in human physical activities.

Authors:  Shaopeng Liu; Robert X Gao; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2012-11       Impact factor: 5.411

5.  Estimating sleep from multisensory armband measurements: validity and reliability in teens.

Authors:  Brandy M Roane; Eliza Van Reen; Chantelle N Hart; Rena Wing; Mary A Carskadon
Journal:  J Sleep Res       Date:  2015-07-01       Impact factor: 3.981

6.  Energy expenditure and habitual physical activities in adolescent sprint athletes.

Authors:  Dirk Aerenhouts; Evert Zinzen; Peter Clarys
Journal:  J Sports Sci Med       Date:  2011-06-01       Impact factor: 2.988

7.  Experience with Using the Sensewear BMS Sensor System in the Context of a Health and Wellbeing Application.

Authors:  Val Jones; Richard Bults; Rene de Wijk; Ing Widya; Ricardo Batista; Hermie Hermens
Journal:  Int J Telemed Appl       Date:  2011-05-10

Review 8.  A review of accelerometry-based wearable motion detectors for physical activity monitoring.

Authors:  Che-Chang Yang; Yeh-Liang Hsu
Journal:  Sensors (Basel)       Date:  2010-08-20       Impact factor: 3.576

9.  Tracking energy balance in adolescents: Levels of compliance, energy flux, and learning.

Authors:  Senlin Chen; Xihe Zhu; Gregory J Welk; Youngwon Kim
Journal:  J Exerc Sci Fit       Date:  2015-03-06       Impact factor: 3.103

10.  Physical activity in 3-6 year old children measured by SenseWear Pro®: direct accelerometry in the course of the week and relation to weight status, media consumption, and socioeconomic factors.

Authors:  Yvonne Vorwerg; David Petroff; Wieland Kiess; Susann Blüher
Journal:  PLoS One       Date:  2013-04-03       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.