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Using Accelerometers in Youth Physical Activity Studies: A Review of Methods

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TLDR
The increasing diversity of methods used to process and score accelerometer data for youth precludes comparison of results across studies, and trends indicate declining standardization of methods.
Abstract
Background: In 2005, investigators convened by the National Cancer Institute recommended development of standardized protocols for accelerometer use and reporting decision rules in articles. A literature review was conducted to document accelerometer methods and decision rule reporting in youth physical activity articles from 2005−2010. Methods: Nine electronic databases identified 273 articles that measured physical activity and/or sedentary behavior using the most-used brand of accelerometer (ActiGraph). Six key methods were summarized by age group (preschool, children, and adolescents) and trends over time were examined. Results: Studies using accelerometers more than doubled from 2005−2010. Methods included 2 ActiGraph models, 6 epoch lengths, 6 nonwear definitions, 13 valid day definitions, 8 minimum wearing day thresholds, 12 moderate-intensity physical activity cut points, and 11 sedentary cut points. Child studies showed the most variation in methods and a trend toward more variability in cut poin...

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School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6-18.

TL;DR: There was some evidence that school-based physical activity interventions had a positive impact on four of the nine outcome measures, but little effect on physical activity rates, systolic and diastolic blood pressure, BMI, and pulse rate.
Journal ArticleDOI

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

TL;DR: This 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.
Journal ArticleDOI

Sedentary behaviour as an emerging risk factor for cardiometabolic diseases in children and youth.

TL;DR: An overview of recent evidence in sedentary behaviour is provided and research on children is lacking, as well as interventions that examine the health and behavioural impacts of sitting per se.

Conducting accelerometer-based activity assessments in field-based research

TL;DR: In this paper, a review of accelerometer-based assessment of physical activity in free-living individuals is presented, focusing on the following issues: product selection, number of accelerometers needed, placement, epoch length, and days of monitoring required to estimate habitual physical activity.
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Fully automated waist-worn accelerometer algorithm for detecting children's sleep-period time separate from 24-h physical activity or sedentary behaviors.

TL;DR: A fully automated algorithm for 24-h waist-worn accelerometer data will facilitate the separation of sleep time from sedentary behavior and physical activity of all intensities during the remainder of the day.
References
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Journal ArticleDOI

Physical activity in the United States measured by accelerometer.

TL;DR: Objective and subjective measures of physical activity give qualitatively similar results regarding gender and age patterns of activity, however, adherence to physical activity recommendations according to accelerometer-measured activity is substantially lower than according to self-report.
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Calibration of the Computer Science and Applications, Inc. accelerometer.

TL;DR: These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer, and help to predict energy expenditure at any treadmill speed.
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Calibration of two objective measures of physical activity for children

TL;DR: It is suggested that the two accelerometers can be used to distinguish differing levels of physical activity intensity as well as inactivity among children 5 to 8 years of age.
Journal ArticleDOI

Too Much Sitting: The Population Health Science of Sedentary Behavior

TL;DR: Sitting time, TV time, and time sitting in automobiles increase premature mortality risk, and breaking up sedentary time is beneficial.
Journal ArticleDOI

Assessment of physical activity by self-report: status, limitations, and future directions.

TL;DR: In the present review, self-reports are defined as selfadministered or interviewer-administered recall questionnaires, activity logs or diaries, and proxy reports (typically used to assess young children).
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