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Daily physical activity patterns from hip- and wrist-worn accelerometers.

E J Shiroma1, M A Schepps, J Harezlak

  • 1Laboratory of Epidemiology and Population Sciences, National Institute on Aging,7201 Wisconsin Ave, Gateway Bldg, Suite 3C309, Bethesda, MD, USA.

Physiological Measurement
|September 23, 2016
PubMed
Summary
This summary is machine-generated.

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Accelerometer wear location impacts physical activity estimates. Both wrist and hip placements capture similar daily activity patterns, suggesting their utility for assessing overall physical activity volume.

Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Physical Activity Measurement

Background:

  • Wearable accelerometers are commonly used to estimate physical activity.
  • The location of accelerometer wear (e.g., wrist vs. hip) may affect the accuracy of these estimates.
  • Understanding how wear location influences data is crucial for reliable physical activity assessment, especially in older adults.

Purpose of the Study:

  • To investigate the influence of accelerometer wear location on physical activity estimates.
  • To compare activity patterns recorded by wrist-worn versus hip-worn accelerometers.
  • To examine the daily accrual patterns of physical activity across different accelerometer placements.

Main Methods:

  • Utilized data from the aging research evaluating accelerometry (AREA) study.

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  • Participants (37 men, 47 women, mean age 78.9 years) wore accelerometers for 7 days.
  • Accelerometers were simultaneously worn on both wrists and the right hip in a free-living environment.

    • Main Results:

    • Wrist-worn accelerometers yielded significantly higher median activity counts (approximately 5x) and greater variability compared to hip-worn monitors.
    • Despite differences in magnitude, the daily activity accrual patterns (morning peak, evening decline) were similar for both hip and wrist placements.
    • The consistent pattern shape across locations supports the use of either for estimating total physical activity volume.

    Conclusions:

    • Accelerometer wear location influences the magnitude of recorded activity counts but not the overall daily pattern.
    • Both wrist and hip placements are viable for estimating total physical activity volume in older adults.
    • Analyzing activity patterns over time can reveal nuances related to wear location and population differences.