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Individual calibration of accelerometers in children and their health-related implications

Lynne M. Boddy, Conor Cunningham, Stuart J. Fairclough, Marie H. Murphy, Gavin Breslin, Lawrence Foweather, Rebecca M. Dagger, Lee E. F. Graves, Nicola D. Hopkins, Gareth Stratton Orcid Logo

Journal of Sports Sciences, Pages: 1 - 6

Swansea University Author: Gareth Stratton Orcid Logo

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DOI (Published version): 10.1080/02640414.2017.1377842

Abstract

This study compared children’s physical activity (PA) levels, the prevalence of children meeting current guidelines of ≥60 minutes of daily moderate to vigorous PA (MVPA), and PA-health associations using individually calibrated (IC) and empirical accelerometer cutpoints. Data from 75 (n = 32 boys)...

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Published in: Journal of Sports Sciences
ISSN: 0264-0414 1466-447X
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa35133
Abstract: This study compared children’s physical activity (PA) levels, the prevalence of children meeting current guidelines of ≥60 minutes of daily moderate to vigorous PA (MVPA), and PA-health associations using individually calibrated (IC) and empirical accelerometer cutpoints. Data from 75 (n = 32 boys) 10–12 year old children were included in this study. Clustered cardiometabolic (CM) risk, directly measured cardiorespiratory fitness (CRF), anthropometric and 7 day accelerometer data were included within analysis. PA data were classified using Froude anchored IC, Evenson et al. (Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 1557–1565. doi:10.1080/02640410802334196) (Ev) and Mackintosh et al. (Mackintosh, K. A., Fairclough, S. J., Stratton, G., & Ridgers, N. D. (2012). A calibration protocol for population-specific accelerometer cutpoints in children. PLoS One, 7(5), e36919. doi:10.1371/journal.pone.0036919) (Mack) cutpoints. The proportion of the cohort meeting ≥60mins MVPA/day ranged from 37%-56% depending on the cutpoints used. Reported PA differed significantly across the cutpoint sets. IC LPA and MPA were predictors of CRF (LPA: standardised β = 0.32, p = 0.002, MPA: standardised β = 0.27 p = 0.013). IC MPA also predicted BMI Z-score (standardised β = −0.35, p = 0.004). Ev VPA was a predictor of BMI Z-score (standardised β = −0.33, p = 0.012). Cutpoint choice has a substantial impact on reported PA levels though no significant associations with CM risk were observed. Froude IC cutpoints represent a promising approach towards classifying children’s PA data.
Keywords: Physical activity, accelerometry, threshold, children
College: Faculty of Science and Engineering
Start Page: 1
End Page: 6

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