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This study found high agreement between GENEActiv and ActiGraph accelerometers for measuring wear time, physical activity, and sleep. However, differences exist in lower acceleration magnitudes, suggesting caution when comparing sedentary time data.

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Area of Science:

  • Biomedical Engineering
  • Physical Activity Epidemiology
  • Wearable Technology

Background:

  • Objective physical activity assessment is crucial in health research.
  • Wrist-worn accelerometers are widely used but brand-specific differences may impact data comparability.
  • Standardized processing using the GGIR package aims to mitigate these differences.

Purpose of the Study:

  • To evaluate the agreement between GENEActiv and ActiGraph accelerometers for various physical activity and sleep metrics.
  • To assess the impact of using the GGIR open-source package for data processing on both accelerometer brands.

Main Methods:

  • Thirty-four participants wore GENEActiv and ActiGraph GT3X+ accelerometers for 2 days.
  • Data were processed using the R-package GGIR (version 1.2-0).
  • Key outcomes included wear time, Euclidean norm minus one (ENMO), acceleration distribution, moderate-to-vigorous physical activity (MVPA), and sleep duration.

Main Results:

  • High agreement (Intraclass Correlation Coefficient > 0.96) was observed for wear time, MVPA, and sleep.
  • Excellent agreement (ICC = 0.99) was found for ENMO, with minor differences in mean values.
  • Agreement was high for acceleration percentiles (ICC > 0.82), but differences were noted in lower acceleration ranges (<40 mg) related to sedentary behavior.

Conclusions:

  • GENEActiv and ActiGraph accelerometers demonstrate high agreement for key outcomes like physical activity and sleep when processed with GGIR.
  • Differences in lower acceleration magnitudes necessitate caution when comparing sedentary time estimates between brands.
  • Despite minor discrepancies, both devices offer consistent individual ranking for activity and sleep patterns.