How consumer physical activity monitors could transform human physiology research

  • Stephen P. Wright
    Department of Medicine, Georgetown University, Washington, D.C.
  • Tyish S. Hall Brown
    Department of Psychiatry & Behavioral Sciences, Howard University College of Medicine, Washington, D.C.; and
  • Scott R. Collier
    Department of Health and Exercise Science, Appalachian State University, Boone, North Carolina
  • Kathryn Sandberg
    Department of Medicine, Georgetown University, Washington, D.C.

Abstract

<jats:p> A sedentary lifestyle and lack of physical activity are well-established risk factors for chronic disease and adverse health outcomes. Thus, there is enormous interest in measuring physical activity in biomedical research. Many consumer physical activity monitors, including Basis Health Tracker, BodyMedia Fit, DirectLife, Fitbit Flex, Fitbit One, Fitbit Zip, Garmin Vivofit, Jawbone UP, MisFit Shine, Nike FuelBand, Polar Loop, Withings Pulse O<jats:sub>2</jats:sub>, and others have accuracies similar to that of research-grade physical activity monitors for measuring steps. This review focuses on the unprecedented opportunities that consumer physical activity monitors offer for human physiology and pathophysiology research because of their ability to measure activity continuously under real-life conditions and because they are already widely used by consumers. We examine current and potential uses of consumer physical activity monitors as a measuring or monitoring device, or as an intervention in strategies to change behavior and predict health outcomes. The accuracy, reliability, reproducibility, and validity of consumer physical activity monitors are reviewed, as are limitations and challenges associated with using these devices in research. Other topics covered include how smartphone apps and platforms, such as the Apple ResearchKit, can be used in conjunction with consumer physical activity monitors for research. Lastly, the future of consumer physical activity monitors and related technology is considered: pattern recognition, integration of sleep monitors, and other biosensors in combination with new forms of information processing. </jats:p>

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