Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Revie
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SYSTEMATIC REVIEW
Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations Jairo H. Migueles1 • Cristina Cadenas-Sanchez1 • Ulf Ekelund2,3 Christine Delisle Nystro¨m4 • Jose Mora-Gonzalez1 • Marie Lo¨f4,5 • Idoia Labayen6 • Jonatan R. Ruiz1,4 • Francisco B. Ortega1,4
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Published online: 16 March 2017 Springer International Publishing Switzerland 2017
Abstract Background Accelerometers are widely used to measure sedentary time, physical activity, physical activity energy expenditure (PAEE), and sleep-related behaviors, with the ActiGraph being the most frequently used brand by researchers. However, data collection and processing criteria have evolved in a myriad of ways out of the need to answer unique research questions; as a result there is no consensus. Objectives The purpose of this review was to: (1) compile and classify existing studies assessing sedentary time, physical activity, energy expenditure, or sleep using the ActiGraph GT3X/? through data collection and processing Electronic supplementary material The online version of this article (doi:10.1007/s40279-017-0716-0) contains supplementary material, which is available to authorized users. & Jairo H. Migueles [email protected] 1
PROFITH ‘‘PROmoting FITness and Health through physical activity’’ Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Ctra. Alfacar s/n, 18011 Granada, Spain
2
Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
3
MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Hospital Hills Road, Cambridge, UK
4
Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
5
Department of Clinical and Experimental Medicine, Faculty of the Health Sciences, Linko¨ping University, Linko¨ping, Sweden
6
Department of Nutrition and Food Science, University of the Basque Country, UPV-EHU, Vitoria-Gasteiz, Spain
criteria to improve data comparability and (2) review data collection and processing criteria when using GT3X/? and provide age-specific practical considerations based on the validation/calibration studies identified. Methods Two independent researchers conducted the search in PubMed and Web of Science. We included all original studies in which the GT3X/? was used in laboratory, controlled, or free-living conditions published from 1 January 2010 to the 31 December 2015. Results The present systematic review provides key information about the following data collection and processing criteria: placement, sampling frequency, filter, epoch length, non-wear-time, what constitutes a valid day and a valid week, cut-points for sedentary time and physical activity intensity classification, and algorithms to estimate PAEE and sleep-related behaviors. The information is organized by age group, since criteria are usually age-specific. Conclusion This review will help researchers and practitioners to mak
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