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10 Results for: "Wear time"

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

  • Published on March 16, 2017

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 ...


Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE)

  • Published on Feb. 11, 2015

Background: We compared 24-hour waist-worn accelerometer wear time characteristics of 9–11 year old children in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) to similarly aged U.S. children providing waking-hours waist-worn accelerometer data in the 2003–2006 National Health and Nutrition Examination Survey (NHANES). Methods: Valid cases ...


Maximizing the detection of youth sedentary behavior with accelerometer data

  • Presented on May 21, 2014

Purpose: Accelerometers are commonly used as an objective measure of sedentary behavior, but the method of defining nonwear time directly affects sedentary estimates. The present study examined nonwear definitions and their impact on detection of sedentary time in youth using different ActiGraph models and filters. Methods: 60 youth (34 children and 26 adolescents; ...


Accelerometer data reduction: A comparison of reduction algorithms with three ActiGraph analysis ] software packages

  • Presented on May 21, 2014

Purpose: The aim of this study was to compare common reduction algorithms for ActiGraph accelerometer data using three software packages in order to identify their impact on the number of subjects with valid data. Methods: 200 adolescents from the UP&DOWN Study wore the GT1M and GT3X ActiGraph ...


From sedentary time to sedentary patterns: Optimal accelerometer data reduction decisions in children

  • Presented on May 21, 2014

Purpose: This study aims to establish evidence-based accelerometer data reduction criteria to accurately assess sedentary patterns in children. We not only examined total sedentary time, but also duration and number of breaks and uninterrupted sedentary bouts. Methods: Participants (n=1057 European children; aged 10-12 yrs) wore an ActiGraph accelerometer for at ...


Assessment of accelerometer non-wear time in children

  • Presented on May 21, 2014

Purpose: Different definitions for determining non-wear time are currently used. The aim of this study was to determine the effect of the definition of ActiGraph and activPAL non-wear time on data retention and the classification of sedentary and sitting time in children. Methods: Accelerometer and inclinometer data were drawn from ...


Impact Of Accelerometer Data Processing Decisions On Data From Large Cohort Studies

  • Presented on May 30, 2014

Background: Accelerometers objectively assess physical activity (PA) and are increasingly used in epidemiologic studies. However, processing techniques are not standardized and limit data comparability across studies. Purpose: To compare the impact of wear-time assessment method and filter choice on accelerometer output in a large cohort. Methods: Participants (7,650 women, mean ...


Quality Control Methods in Accelerometer Data Processing: Defining Minimum Wear Time

  • Published on June 24, 2013

Background: When using accelerometers to measure physical activity, researchers need to determine whether subjects have worn their device for a sufficient period to be included in analyses. We propose a minimum wear criterion using population-based accelerometer data, and explore the influence of gender and the purposeful inclusion of children with ...


How Much Accelerometry Data is Required to Reliably Estimate Preschool Children's Habitual Physical Activity?

  • Presented on 2011

Introduction There is no consistency in the literature as to the amount of accelerometry monitoring time required to reliably determine habitual physical activity behaviour in preschool children. This study aims to identify how many days, and what percentage of time each day, of monitoring is required. Methods Data from ActiGraph ...


How Many Days of Monitoring Predict Physical Activity and Sedentary Behavior in Older Adults?

  • Added on June 16, 2011

The number of days of pedometer or accelerometer data needed to reliably assess physical activity (PA) is important for research that examines the relationship with health. While this important research has been completed in young to middle-aged adults, data is lacking in older adults. Further, data determining the number of ...