Beyond the Clinic: Maximum Free-Living Stepping as a Potential Measure of Physical Performance

Sensors (Basel). 2023 Jul 20;23(14):6555. doi: 10.3390/s23146555.

Abstract

Measures of physical performance captured within a clinical setting are commonly used as a surrogate for underlying health or disease risk within an individual. By measuring physical behaviour within a free-living setting, we may be able to better quantify physical performance. In our study, we outline an approach to measure maximum free-living step count using a body-worn sensor as an indicator of physical performance. We then use this approach to characterise the maximum step count over a range of window durations within a population of older adults to identify a preferred duration over which to measure the maximum step count. We found that while almost all individuals (97%) undertook at least one instance of continuous stepping longer than two minutes, a sizeable minority of individuals (31%) had no periods of continuous stepping longer than six minutes. We suggest that the maximum step count measured over a six-minute period may be too sensitive to the adults' lack of opportunity to undertake prolonged periods of stepping, and a two-minute window could provide a more representative measure of physical performance.

Keywords: accelerometer; activPAL; iData; physical activity; stepping.

MeSH terms

  • Aged
  • Humans
  • Physical Functional Performance*
  • Walking*

Grants and funding

This research forms part of Craig Speirs’ part-time PhD study at the University of Strathclyde supported by PAL Technologies.