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. 2016 Oct;34(19):1830-8.
doi: 10.1080/02640414.2016.1140220. Epub 2016 Feb 8.

Validity of SenseWear® Armband v5.2 and v2.2 for estimating energy expenditure

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Validity of SenseWear® Armband v5.2 and v2.2 for estimating energy expenditure

Dharini M Bhammar et al. J Sports Sci. 2016 Oct.

Abstract

We compared SenseWear Armband versions (v) 2.2 and 5.2 for estimating energy expenditure in healthy adults. Thirty-four adults (26 women), 30.1 ± 8.7 years old, performed two trials that included light-, moderate- and vigorous-intensity activities: (1) structured routine: seven activities performed for 8-min each, with 4-min of rest between activities; (2) semi-structured routine: 12 activities performed for 5-min each, with no rest between activities. Energy expenditure was measured by indirect calorimetry and predicted using SenseWear v2.2 and v5.2. Compared to indirect calorimetry (297.8 ± 54.2 kcal), the total energy expenditure was overestimated (P < 0.05) by both SenseWear v2.2 (355.6 ± 64.3 kcal) and v5.2 (342.6 ± 63.8 kcal) during the structured routine. During the semi-structured routine, the total energy expenditure for SenseWear v5.2 (275.2 ± 63.0 kcal) was not different than indirect calorimetry (262.8 ± 52.9 kcal), and both were lower (P < 0.05) than v2.2 (312.2 ± 74.5 kcal). The average mean absolute per cent error was lower for the SenseWear v5.2 than for v2.2 (P < 0.001). SenseWear v5.2 improved energy expenditure estimation for some activities (sweeping, loading/unloading boxes, walking), but produced larger errors for others (cycling, rowing). Although both algorithms overestimated energy expenditure as well as time spent in moderate-intensity physical activity (P < 0.05), v5.2 offered better estimates than v2.2.

Keywords: Activity monitor; accelerometer; assessment; calorimetry; physical activity.

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Figures

Figure 1
Figure 1
Bland-Altman plots for total energy expenditure (EE) during the structured routine for Sensewear Armband (SWA) v2.2 (Panel A) and v5.2 (Panel B) and during the semi-structured routines for SWA v2.2 (Panel C) and v5.2 (Panel D).
Figure 2
Figure 2
Bland-Altman plots for steady-state energy expenditure (EE) during individual activities during the structured routine for Sensewear Armband (SWA) v2.2 (A) and v5.2 (B). The table represents slope, Y intercept, and R2 for individual activities in the routine. * Significant correlation P < 0.05.
Figure 3
Figure 3
Mean absolute percentage error and relative contribution of individual activities to overall EE estimation error for Sensewear Armband (SWA) v2.2 and v5.2 for different activities in the structured (Panels A and B) and semi-structured routines (Panel C and D).

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References

    1. Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR, Tudor-Locke C, Leon AS. 2011 compendium of physical activities: a second update of codes and MET values. Medicine and Science in Sports and Exercise. 2011;43(8):1575–1581. - PubMed
    1. Benito P, Neiva C, Gonzalez-Quijano P, Cupeiro R, Morencos E, Peinado A. Validation of the SenseWear armband in circuit resistance training with different loads. European Journal of Applied Physiology. 2012;112(8):3155–3159. - PubMed
    1. Berntsen S, Hageberg R, Aandstad A, Mowinckel P, Anderssen SA, Carlsen KH, Andersen LB. Validity of physical activity monitors in adults participating in free-living activities. British Journal of Sports Medicine. 2010;44(9):657–664. doi: 10.1136/bjsm.2008.048868. - PubMed
    1. Bhammar DM, Sawyer BJ, Tucker WJ, Baez JC, Gaesser GA. Actiheart and Actigraph in Adults Poster session presented at the meeting of the American College of Sports Medicine. Indianapolis, IN.: May, 2013. Physical Activity and Energy Expenditure Measurements Using Sensewear Armband.
    1. Bland JM, Altman DG. Statistical-Methods for Assessing Agreement between 2 Methods of Clinical Measurement. Lancet. 1986;1(8476) - PubMed

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