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Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
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Quality control methods in accelerometer data processing: identifying extreme counts.

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  • 1Medical Research Centre of Epidemiology for Child Health, University College London, London, United Kingdom.

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Summary
This summary is machine-generated.

Extremely high count values (EHCV) in accelerometers can skew results. This study proposes a new threshold to identify EHCV, improving the accuracy of vigorous physical activity (VPA) estimates in children.

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Area of Science:

  • Biomedical Engineering
  • Physical Activity Epidemiology
  • Human Movement Science

Background:

  • Accelerometers are widely used to measure human activity.
  • Extremely high count values (EHCV) can compromise data integrity in large-scale studies.
  • Establishing reliable thresholds for EHCV is crucial for accurate physical activity assessment.

Purpose of the Study:

  • To develop methodological principles for establishing an EHCV threshold.
  • To propose and validate an EHCV threshold for the ActiGraph GT1M device.
  • To investigate the impact of EHCV on daily vigorous physical activity (VPA) estimates in children.

Main Methods:

  • Utilized quantile analysis on accelerometer data from 9005 children in the UK Millennium Cohort Study.
  • Derived an EHCV threshold by differentiating the quantile function.
  • Screened data for device errors and EHCV, conducting sensitivity analyses for VPA estimation.

Main Results:

  • A proposed EHCV threshold of ≥ 11,715 counts/minute identified EHCV in only 0.7% of non-zero counts.
  • EHCV constituted less than 1% of total non-zero counts for 99.7% of children.
  • Excluding EHCV with the proposed threshold led to significantly different VPA estimates compared to other methods.

Conclusions:

  • Implementing quality control for accelerometer data, including identifying EHCV, is essential.
  • The proposed EHCV threshold enhances the validity of VPA estimates in children's studies using the ActiGraph GT1M.
  • The methodology can be adapted to define EHCV thresholds for various accelerometer models.