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Comparing physical activity estimates in children from hip-worn Actigraph GT3X+ accelerometers using raw and counts

Duncan S Buchan1, Gillian McLellan1

  • 1a Institute of Clinical Exercise and Health Science , The University of the West of Scotland , South Lanarkshire , UK.

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PubMed
Summary

Processing physical activity (PA) data using raw versus count methods yields significantly different results. These methods for estimating moderate-to-vigorous physical activity in children are not comparable.

Keywords:
ActiGraphGGIRGT3X+accelerometersphysical activityyouth

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Area of Science:

  • Exercise Physiology
  • Biomedical Engineering
  • Data Science

Background:

  • Accurate physical activity (PA) estimation is crucial for public health research.
  • Different data processing methods for accelerometers may lead to discrepancies in PA assessment.
  • Understanding these differences is vital for comparing findings across studies.

Purpose of the Study:

  • To compare physical activity (PA) estimates derived from raw and count-based processing methods.
  • To determine the agreement and equivalence between these two processing approaches for children's PA.
  • To highlight potential implications for research comparing PA data.

Main Methods:

  • One hundred sixty-five children wore hip-mounted accelerometers for 7 days.
  • Physical activity (PA) data were processed using both raw and count-based methods (GGIR and ActiLife).
  • Time spent in moderate (MPA), vigorous (VPA), and moderate-to-vigorous PA (MVPA) was calculated and compared using Bland-Altman plots and equivalence tests.

Main Results:

  • Count-based processing resulted in significantly higher estimates for MPA, VPA, and MVPA compared to raw data.
  • Bland-Altman analysis indicated large mean biases between the two methods.
  • Equivalence tests demonstrated a lack of agreement across all activity intensities.

Conclusions:

  • The raw and count processing methods for accelerometer data are not interchangeable for estimating children's physical activity.
  • Discrepancies highlight the need for caution when comparing PA findings from studies using different processing techniques.
  • Further research is needed to standardize PA data processing and reporting.