Taylor Lynne M, Klenk Jochen, Maney Alistair J, Kerse Ngaire, Macdonald Bruce M, Maddison Ralph
National Institute for Health Innovation, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany; Department of Clinical Gerontology, Robert-Bosch Hospital, Stuttgart, Germany.
Arch Phys Med Rehabil. 2014 May;95(5):930-4. doi: 10.1016/j.apmr.2014.01.013. Epub 2014 Jan 30.
To determine the validity of a triaxial body-worn accelerometer for detection of gait and postures in people aged >80 years.
Participants performed a range of activities (sitting, lying, walking, standing) in both a controlled and a home setting while wearing the accelerometer. Activities in the controlled setting were performed in a scripted sequence. Activities in the home setting were performed in an unscripted manner. Analyzed accelerometer data were compared against video observation as the reference measure.
Independent-living and long-term-care retirement village.
Older people (N=22; mean age ± SD, 88.1±5y) residing in long-term-care and independent-living retirement facilities.
Not applicable.
The level of agreement between video observation and the accelerometer for the total duration of each activity, and second-by-second correspondence between video observation and the accelerometer for each activity.
The median absolute percentage errors between video observation and the accelerometer were <1% for locomotion and lying. The absolute percentage errors were higher for sitting (median, -22.3%; interquartile range [IQR], -62.8% to 10.7%) and standing (median, 24.7%; IQR, -7.3% to 39.6%). A second-by-second analysis between video observation and the accelerometer found an overall agreement of ≥85% for all activities except standing (median, 56.1%; IQR, 34.8%-81.2%).
This single-device accelerometer provides a valid measure of lying and locomotion in people aged >80 years. There is an error of approximately 25% when discriminating sitting from standing postures, which needs to be taken into account when monitoring longer-term habitual activity in this age group.
确定三轴穿戴式加速度计用于检测80岁以上人群步态和姿势的有效性。
参与者在佩戴加速度计的情况下，在受控环境和家庭环境中进行一系列活动（坐、躺、行走、站立）。受控环境中的活动按预定顺序进行。家庭环境中的活动则以无脚本的方式进行。将分析的加速度计数据与视频观察结果进行比较，以视频观察作为参考标准。
独立生活和长期护理退休村。
居住在长期护理和独立生活退休设施中的老年人（N = 22；平均年龄±标准差，88.1±5岁）。
不适用。
视频观察与加速度计在每项活动总时长上的一致程度，以及视频观察与加速度计在每项活动中逐秒的对应情况。
视频观察与加速度计之间在运动和躺卧方面的中位绝对百分比误差<1%。坐立（中位值，-22.3%；四分位间距[IQR]，-62.8%至10.7%）和站立（中位值，24.7%；IQR，-7.3%至39.6%）时的绝对百分比误差较高。视频观察与加速度计之间的逐秒分析发现，除站立外（中位值，56.1%；IQR，34.8%-81.2%），所有活动的总体一致性≥85%。
这种单设备加速度计能够有效测量80岁以上人群的躺卧和运动情况。在区分坐姿和站姿时存在约25%的误差，在监测该年龄组的长期习惯性活动时需要考虑这一点。
