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Quality control methods in accelerometer data processing: defining minimum wear time.

Carly Rich1, Marco Geraci, Lucy Griffiths

  • 1Medical Research Centre of Epidemiology for Child Health, University College London, London, United Kingdom. c.rich@ucl.ac.uk

Plos One
|July 5, 2013
PubMed
Summary
This summary is machine-generated.

Establishing a minimum wear time for accelerometers ensures reliable physical activity data in children. Including data from at least two days with 10 hours of wear provides accurate results, regardless of weekend wear.

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Area of Science:

  • Pediatric physical activity measurement
  • Biomedical data analysis
  • Epidemiological research methods

Background:

  • Accurate measurement of physical activity using accelerometers requires establishing minimum wear time criteria for data inclusion.
  • Population-based studies need reliable methods to ensure accelerometer data validity.

Purpose of the Study:

  • To propose and validate a minimum wear criterion for accelerometer data in children.
  • To investigate the impact of gender and weekend data inclusion on measurement reliability.

Main Methods:

  • Analysis of accelerometer data from the UK Millennium Cohort Study (n=7,704).
  • Calculation of reliability coefficients using the Spearman-Brown formula based on intraclass correlation.
  • Evaluation of different minimum daily wear times (1-10 hours) and wear days (1-7 days).

Main Results:

  • Reliability increased with longer wear duration and more wear days.
  • High reliability (r=0.86) was achieved with data from children wearing devices for ≥10 hours/day over ≥2 days (n=6,528).
  • Gender did not significantly impact reliability; weekend data inclusion yielded comparable results.

Conclusions:

  • Quality control for accelerometer data is crucial in large-scale studies.
  • A criterion of ≥2 days with ≥10 hours/day wear ensures reliable physical activity estimates in children.
  • Excluding non-weekend data is unnecessary for maintaining reliability.