Literature DB >> 27653245

The accuracy of the SenseWear Pro3 and the activPAL3 Micro devices for measurement of energy expenditure.

Cormac Powell1, Brian P Carson, Kieran P Dowd, Alan E Donnelly.   

Abstract

Activity monitors such as the SenseWear Pro3 (SWP3) and the activPAL3 Micro (aP3M) are regularly used by researchers and practitioners to provide estimates of the metabolic cost (METs) of activities in free-living settings. The purpose of this study is to examine the accuracy of the MET predictions from the SWP3 and the aP3M compared to the criterion standard MET values from indirect calorimetry. Fifty-six participants (mean age: 39.9 (±11.5), 25M/31F) performed eight activities (four daily living, three ambulatory and one cycling), while simultaneously wearing a SWP3, aP3M and the Cosmed K4B2 (K4B2) mobile metabolic unit. Paired samples T-tests were used to examine differences between device predicted METs and criterion METs. Bland-Altman plots were constructed to examine the mean bias and limits of agreement for predicted METs compared to criterion METs. SWP3 predicted MET values were significantly different from the K4B2 for each activity (p  ⩽  0.004), excluding sweeping (p  =  0.122). aP3M predicted MET values were significantly different (p  <  0.001) from the K4B2 for each activity. When examining the activities collectively, both devices underestimated activity intensity (0.20 METs (SWP3), 0.95 METs (aP3M)). The greatest mean bias for the SWP3 was for cycling (-3.25 METs), with jogging (-5.16 METs) producing the greatest mean bias for the aP3M. All of the activities (excluding SWP3 sweeping) were significantly different from the criterion measure. Although the SWP3 predicted METs are more accurate than their aP3M equivalent, the predicted MET values from both devices are significantly different from the criterion measure for the majority of activities.

Entities:  

Year:  2016        PMID: 27653245     DOI: 10.1088/0967-3334/37/10/1715

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  4 in total

1.  Reliability and validity of a new accelerometer-based device for detecting physical activities and energy expenditure.

Authors:  Yanxiang Yang; Moritz Schumann; Shenglong Le; Shulin Cheng
Journal:  PeerJ       Date:  2018-10-11       Impact factor: 2.984

2.  Sedentary Time and Metabolic Risk in Extremely Active Older Adults.

Authors:  Kenneth M Madden; Boris Feldman; Jocelyn Chase
Journal:  Diabetes Care       Date:  2020-10-16       Impact factor: 19.112

3.  Are Psychophysiological Wearables Suitable for Comparing Pedagogical Teaching Approaches?

Authors:  Vesna Geršak; Tina Giber; Gregor Geršak; Jerneja Pavlin
Journal:  Sensors (Basel)       Date:  2022-07-30       Impact factor: 3.847

4.  Is Being Physically Active Enough to Be Metabolically Healthy? The Key Role of Sedentary Behavior.

Authors:  Mary O Whipple; Judith G Regensteiner; Audrey Bergouignan
Journal:  Diabetes Care       Date:  2021-01       Impact factor: 19.112

  4 in total

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