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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

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Validation of the SenseWear Mini activity monitor in 5-12 year-old children

van Loo, Christiana M.T. and Okely, Anthony D. and Batterham, Marijka J. and Hinkley, Trina and Ekelund, Ulf and Brage, Soren and Reilly, John J. and Peoples, Gregory E. and Jones, Rachel and Janssen, Xanne and Cliff, Dylan P. (2016) Validation of the SenseWear Mini activity monitor in 5-12 year-old children. Journal of Science and Medicine in Sport. ISSN 1878-1861 (In Press)

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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 ± 0.20 kcal·min−1), LPA (-0.69 ± 0.76 vs. -1.07 ± 0.46 kcal·min−1) and MVPA (-2.22 ± 1.15 vs. - 2.57 ± 1.15 kcal·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 36 and EE estimates were not equivalent to IC.