Christiana M T van Loo1, Anthony D Okely2, Marijka J Batterham3, Trina Hinkley4, Ulf Ekelund5, Søren Brage6, John J Reilly7, Gregory E Peoples8, Rachel A Jones2, Xanne Janssen7, Dylan P Cliff2. 1. Early Start Research Institute, Faculty of Social Sciences, University of Wollongong, Australia. Electronic address: cmtvl646@uowmail.edu.au. 2. Early Start Research Institute, Faculty of Social Sciences, University of Wollongong, Australia. 3. School of Mathematics and Applied Statistics, University of Wollongong, Australia. 4. Deakin University, Geelong, Australia, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Australia. 5. Norwegian School of Sports Sciences, Norway; MRC Epidemiology Unit, University of Cambridge, United Kingdom. 6. MRC Epidemiology Unit, University of Cambridge, United Kingdom. 7. University of Strathclyde, School of Psychological Sciences and Health, Scotland. 8. School of Medicine, University of Wollongong, Australia.
Abstract
OBJECTIVES: This study aimed to validate SenseWear Mini software algorithm versions 2.2 (SW2.2) and 5.2 (SW5.2) for estimating energy expenditure (EE) in children. DESIGN: Laboratory-based validation study. METHODS: 57 children aged 5-12 y completed a protocol involving 15 semi-structured sedentary (SED), light-intensity (LPA), and moderate- to vigorous-intensity (MVPA) physical activities. EE was estimated using portable indirect calorimetry (IC). The accuracy of EE estimates (kcal·min-1) from SW2.2 and SW5.2 were examined at the group level and individual level using the mean absolute percentage error (MAPE), Bland-Altman plots and equivalence testing. RESULTS: MAPE values were lower for SW5.2 (30.1±10.7%) than for SW2.2 (44.0±6.2%). Although mean differences for SW5.2 were smaller than for SW2.2 during SED (-0.23±0.22 vs. -0.61±0.20kcal·min-1), LPA (-0.69±0.76 vs. -1.07±0.46kcal·min-1) and MVPA (-2.22±1.15 vs. -2.57±1.15kcal·min-1), limits of agreement did not decrease for the updated algorithms. For all activities, SW2.2 and SW5.2 were not equivalent to IC (p>0.05). Errors increased with increasing intensity. CONCLUSION: The current SenseWear Mini algorithms SW5.2 underestimated EE. The overall improved accuracy for SW5.2 was not accompanied with improved accuracy at the individual level and EE estimates were not equivalent to IC.
OBJECTIVES: This study aimed to validate SenseWear Mini software algorithm versions 2.2 (SW2.2) and 5.2 (SW5.2) for estimating energy expenditure (EE) in children. DESIGN: Laboratory-based validation study. METHODS: 57 children aged 5-12 y completed a protocol involving 15 semi-structured sedentary (SED), light-intensity (LPA), and moderate- to vigorous-intensity (MVPA) physical activities. EE was estimated using portable indirect calorimetry (IC). The accuracy of EE estimates (kcal·min-1) from SW2.2 and SW5.2 were examined at the group level and individual level using the mean absolute percentage error (MAPE), Bland-Altman plots and equivalence testing. RESULTS: MAPE values were lower for SW5.2 (30.1±10.7%) than for SW2.2 (44.0±6.2%). Although mean differences for SW5.2 were smaller than for SW2.2 during SED (-0.23±0.22 vs. -0.61±0.20kcal·min-1), LPA (-0.69±0.76 vs. -1.07±0.46kcal·min-1) and MVPA (-2.22±1.15 vs. -2.57±1.15kcal·min-1), limits of agreement did not decrease for the updated algorithms. For all activities, SW2.2 and SW5.2 were not equivalent to IC (p>0.05). Errors increased with increasing intensity. CONCLUSION: The current SenseWear Mini algorithms SW5.2 underestimated EE. The overall improved accuracy for SW5.2 was not accompanied with improved accuracy at the individual level and EE estimates were not equivalent to IC.
Authors: Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell Journal: Med Sci Sports Exerc Date: 2008-01 Impact factor: 5.411
Authors: Chris J Riddoch; Lars Bo Andersen; Niels Wedderkopp; Maarike Harro; Lena Klasson-Heggebø; Luis B Sardinha; Ashley R Cooper; Ulf Ekelund Journal: Med Sci Sports Exerc Date: 2004-01 Impact factor: 5.411
Authors: Christiana M van Loo; Anthony D Okely; Marijka Batterham; Tina Hinkley; Ulf Ekelund; Soren Brage; John J Reilly; Gregory E Peoples; Rachel Jones; Xanne Janssen; Dylan P Cliff Journal: J Phys Act Health Date: 2016-06
Authors: Stuart J Fairclough; Danielle L Christian; Pedro F Saint-Maurice; Paul R Hibbing; Robert J Noonan; Greg J Welk; Philip M Dixon; Lynne M Boddy Journal: Int J Environ Res Public Health Date: 2019-10-02 Impact factor: 3.390