PAL Technologies Ltd., Glasgow G4 0TQ, UK.
Department of Computer and Information Sciences, University of Strathclyde, Glasgow G1 1XH, UK.
Sensors (Basel). 2023 Jul 20;23(14):6555. doi: 10.3390/s23146555.
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.
在临床环境中捕捉到的身体表现测量通常被用作个体潜在健康或疾病风险的替代指标。通过在自由生活环境中测量身体行为,我们也许能够更好地量化身体表现。在我们的研究中,我们概述了一种使用佩戴在身上的传感器来测量最大自由生活步数的方法,将其作为身体表现的指标。然后,我们使用这种方法来描述老年人人群中一系列窗口持续时间内的最大步数,以确定测量最大步数的最佳持续时间。我们发现,尽管几乎所有个体(97%)都至少进行了一次持续两分钟以上的连续步数,但相当一部分个体(31%)没有持续六分钟以上的连续步数。我们认为,在六分钟时间段内测量的最大步数可能过于敏感,无法反映成年人缺乏进行长时间连续步数的机会,而两分钟的窗口可能提供更具代表性的身体表现衡量标准。