Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations View Full Text


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Article Info

DATE

2017-03-16

AUTHORS

Jairo H. Migueles, Cristina Cadenas-Sanchez, Ulf Ekelund, Christine Delisle Nyström, Jose Mora-Gonzalez, Marie Löf, Idoia Labayen, Jonatan R. Ruiz, Francisco B. Ortega

ABSTRACT

BackgroundAccelerometers 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.ObjectivesThe 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.MethodsTwo 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.ResultsThe 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.ConclusionThis 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.PROSPERO registration numberCRD42016039991. More... »

PAGES

1821-1845

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    http://scigraph.springernature.com/pub.10.1007/s40279-017-0716-0

    DOI

    http://dx.doi.org/10.1007/s40279-017-0716-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084040156

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28303543


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    341 grid-institutes:grid.11480.3c schema:alternateName Department of Nutrition and Food Science, University of the Basque Country, UPV-EHU, Vitoria-Gasteiz, Spain
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    344 grid-institutes:grid.4489.1 schema:alternateName 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
    345 schema:name 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
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    347 grid-institutes:grid.4714.6 schema:alternateName Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
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    351 grid-institutes:grid.5640.7 schema:alternateName Department of Clinical and Experimental Medicine, Faculty of the Health Sciences, Linköping University, Linköping, Sweden
    352 schema:name Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
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