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Updated: May 13, 2026

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
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Lessons learned from a collaborative field-based collection of physical activity data using accelerometers.

Sara F Morris1, Mary Bea Kolbe, Justin B Moore

  • 1The North Carolina Public Health Foundation, Raleigh, North Carolina (Ms Morris); The Physical Activity and Nutrition Branch, North Carolina Division of Public Health, Raleigh, North Carolina (Ms Kolbe); and Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina (Dr Moore).

Journal of Public Health Management and Practice : JPHMP
|March 23, 2013
PubMed
Summary
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Community public health practitioners can now use accelerometers for valid physical activity assessment in youth. A collaborative approach demonstrated feasibility for objective evaluation in community settings.

Area of Science:

  • Public Health
  • Kinesiology
  • Biomedical Engineering

Background:

  • Advancements in accelerometer technology offer enhanced accuracy and accessibility for physical activity assessment.
  • Accelerometers are widely adopted by researchers but underutilized by community public health practitioners.
  • Bridging this gap can improve objective physical activity evaluation in community settings.

Purpose of the Study:

  • To illustrate a practical case of field-based accelerometer data collection with a youth population.
  • To highlight the collaborative process between public health practitioners and researchers.

Main Methods:

  • A multidisciplinary research team, including public health practitioners and university researchers, was formed.
  • Accelerometer data were collected from 1313 youth (aged 9-14 years) across 20 North Carolina counties.

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  • Focus on practical considerations for large-scale, community-based data collection.

    • Main Results:

    • The case example identified key considerations for improving interdisciplinary communication and data collection logistics.
    • A collaborative model proved effective for conducting objective physical activity evaluations in resource-limited community environments.
    • Demonstrated feasibility of accelerometer use in diverse, real-world settings.

    Conclusions:

    • Lessons learned in coordinating accelerometer use and scheduling large-scale data collection are transferable.
    • Findings offer a model for other researchers and community practitioners aiming to evaluate physical activity.
    • Adaptable strategies for using accelerometers and other mobile data collection devices in public health initiatives.