Literature DB >> 21681479

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

Maroje Soric1, Pavle Mikulic, Marjeta Misigoj-Durakovic, Lana Ruzic, Goran Markovic.   

Abstract

Multi-sensor body monitors that combine accelerometry with other physiological data are designed to overcome drawbacks of accelerometers in assessing activities with little or no vertical movement. One of such devices is the Sensewear Armband (SWA) which has been extensively validated during various activities. However, very few of the validation studies included activities other than walking and running. The aim of this investigation was to assess the validity of the SWA during recreational in-line skating. Nineteen participants (11 females and 8 males), 28 (±6) years of age, performed in-line skating exercise on a circular track at a self-selected pace. Energy expenditure was measured with the SWA and the Cosmed K4b(2) breath-by-breath portable metabolic unit. The mean (SD) energy expenditure during in-line skating estimated by the SWA [25.5 (5.8) kJ/min] was significantly lower compared with indirect calorimetry [44.2 (9.7) kJ/min, P < 0.001]. Similarly, the mean (SD) MET values recorded by the SWA were also lower compared with IC [5.3 (1.0) METs vs. 9.1 (1.6) METs, P < 0.001]. The ratio limits of agreement suggest that in 95% of cases the SWA will underestimate the energy expenditure and MET values during in-line skating by as much as 24-56% compared with indirect calorimetry. In conclusion, the results of the present study indicate that the SWA is not able to overcome the drawbacks of accelerometry in assessing activities with limited vertical movement.

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Year:  2011        PMID: 21681479     DOI: 10.1007/s00421-011-2045-6

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  19 in total

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Authors:  U Ekelund; A Yngve; M Sjöström; K Westerterp
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2.  Validity of a multi-sensor armband in estimating rest and exercise energy expenditure.

Authors:  Margaret L Fruin; Janet Walberg Rankin
Journal:  Med Sci Sports Exerc       Date:  2004-06       Impact factor: 5.411

3.  Assessing energy expenditure in male endurance athletes: validity of the SenseWear Armband.

Authors:  Karsten Koehler; Hans Braun; Markus de Marées; Gerhard Fusch; Christoph Fusch; Wilhelm Schaenzer
Journal:  Med Sci Sports Exerc       Date:  2011-07       Impact factor: 5.411

4.  Energy cost in children assessed by multisensor activity monitors.

Authors:  Daniel Arvidsson; Frode Slinde; Sven Larsson; Lena Hulthén
Journal:  Med Sci Sports Exerc       Date:  2009-03       Impact factor: 5.411

5.  Exercise and circulating cortisol levels: the intensity threshold effect.

Authors:  E E Hill; E Zack; C Battaglini; M Viru; A Viru; A C Hackney
Journal:  J Endocrinol Invest       Date:  2008-07       Impact factor: 4.256

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

7.  Physical activity energy expenditure measured using a portable telemetric device in comparison with a mass spectrometer.

Authors:  C Maiolo; G Melchiorri; L Iacopino; S Masala; A De Lorenzo
Journal:  Br J Sports Med       Date:  2003       Impact factor: 13.800

8.  Validity of physical activity monitors in adults participating in free-living activities.

Authors:  S Berntsen; R Hageberg; A Aandstad; P Mowinckel; S A Anderssen; K-H Carlsen; L B Andersen
Journal:  Br J Sports Med       Date:  2008-07-15       Impact factor: 13.800

9.  Validation of the SenseWear Pro Armband algorithms in children.

Authors:  Miguel A Calabró; Gregory J Welk; Joey C Eisenmann
Journal:  Med Sci Sports Exerc       Date:  2009-09       Impact factor: 5.411

Review 10.  Accelerometers and pedometers: methodology and clinical application.

Authors:  Kirsten Corder; Søren Brage; Ulf Ekelund
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2007-09       Impact factor: 4.294

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  5 in total

Review 1.  Measurement of human energy expenditure, with particular reference to field studies: an historical perspective.

Authors:  Roy J Shephard; Yukitoshi Aoyagi
Journal:  Eur J Appl Physiol       Date:  2011-12-11       Impact factor: 3.078

2.  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

3.  Decline of physical activity in early adolescence: A 3-year cohort study.

Authors:  Vedrana Sember; Gregor Jurak; Marjeta Kovač; Saša Đurić; Gregor Starc
Journal:  PLoS One       Date:  2020-03-11       Impact factor: 3.240

4.  Energy expenditure evaluation in humans and non-human primates by SenseWear Armband. Validation of energy expenditure evaluation by SenseWear Armband by direct comparison with indirect calorimetry.

Authors:  Francesca Casiraghi; Raweewan Lertwattanarak; Livio Luzi; Alberto O Chavez; Alberto M Davalli; Terry Naegelin; Anthony G Comuzzie; Patricia Frost; Nicolas Musi; Franco Folli
Journal:  PLoS One       Date:  2013-09-19       Impact factor: 3.240

5.  Evaluating Energy Expenditure Estimated by Wearable Technology During Variable Intensity Activity on Female Collegiate Athletes.

Authors:  Monica Taylor; Elizabeth F Nagle; Fredric L Goss; Elaine N Rubinstein; Andrew Simonson
Journal:  Int J Exerc Sci       Date:  2018-01-02
  5 in total

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