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Accelerometry-based physical activity assessment for children and adolescents

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dc.contributor.author Kostabel, Kenn
dc.contributor.author Ojiambo, Robert
dc.date.accessioned 2021-03-09T07:06:25Z
dc.date.available 2021-03-09T07:06:25Z
dc.date.issued 2019
dc.identifier.uri http://ir.mu.ac.ke:8080/jspui/handle/123456789/4283
dc.description.abstract Accurate assessment of physical activity (PA) is important to study the associations between PA and health outcomes, to evaluate the effectiveness of interventions and to derive public health recommendations. Despite limitations, accelerometry-based methods generate the best available measures for epidemiological research involving a large number of children and adults. In this chapter, we review the most important methodological issues pertaining to the use of accelerometers to assess the overall volume of PA. We stress the importance of recording and keeping the raw data whenever possible. We review the validation studies using accelerometry to determine energy expenditure and calibration studies that attempt to derive thresholds (“cut-offs”) for differentiating between activity intensity categories. Conceptual and measurement issues due to the use of different thresholds are reviewed, as well as the temporal resolution issues such as sampling rate and epoch length. Different wear time detection algorithms and inclusion criteria are reviewed as well as options in data reduction (deriving meaningful variables from accelerometer data). We present an R package automatising most of the steps in accelerometer data analysis. The chapter concludes with some insights into the future of accelerometry given the wearable revolution and logistical considerations in using accelerometers in large field studies. en_US
dc.language.iso en en_US
dc.publisher Springer Nature en_US
dc.subject Accelerometry en_US
dc.subject Physical Activity en_US
dc.subject Adolescents en_US
dc.title Accelerometry-based physical activity assessment for children and adolescents en_US
dc.type Article en_US


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