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Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations
University of Granada, Spain.
University of Granada, Spain.
Norwegian School Sport Science, Norway; University of Cambridge, England.
Karolinska Institute, Sweden.
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2017 (English)In: Sports Medicine, ISSN 0112-1642, E-ISSN 1179-2035, Vol. 47, no 9, 1821-1845 p.Article, review/survey (Refereed) Published
Abstract [en]

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 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 make better decisions before (i.e., device placement and sampling frequency) and after (i.e., data processing criteria) data collection using the GT3X/? accelerometer, in order to obtain more valid and comparable data.

Place, publisher, year, edition, pages
ADIS INT LTD , 2017. Vol. 47, no 9, 1821-1845 p.
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:liu:diva-140039DOI: 10.1007/s40279-017-0716-0ISI: 000407504200010PubMedID: 28303543OAI: oai:DiVA.org:liu-140039DiVA: diva2:1136714
Note

Funding Agencies|umbrella of the ActiveBrains project [DEP2013-47540]; Spanish Ministry of Education, Culture and Sport [FPU15/02645, FPU14/06837]; Spanish Ministry of Economy and Competitiveness [BES-2014-068829]; Spanish Ministry of Science and Innovation [RYC-2011-09011, RYC-2010-05957]; Research Council of Norway [249932/F20]; UK Medical Research Council [MC_UU_12015/3]; University of Granada, Plan Propio de Investigacion, Excellence actions: Units of Excellence; Unit of Excellence on Exercise and Health (UCEES); SAMID III network, RETICS; PN I + D+I (Spain), ISCIII-Sub-Directorate General for Research Assessment and Promotion; European Regional Development Fund (ERDF) [RD16/0022]; EXERNET Research Network on Exercise and Health in Special Populations [DEP2005-00046/ACTI]

Available from: 2017-08-29 Created: 2017-08-29 Last updated: 2017-08-29

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