Matsumoto Hiromi, Hagino Hiroshi, Osaki Mari, Tanishima Shinji, Tanimura Chika, Matsuura Akihiro, Makabe Tomoyuki
Rehabilitation Division, Tottori University Hospital, Nishicho 36-1, Yonago, Tottori 683-8504, Japan.
Rehabilitation Division, Tottori University Hospital, Nishicho 36-1, Yonago, Tottori 683-8504, Japan; School of Health Science, Tottori University, Faculty of Medicine, Nishicho 86, Yonago, Tottori 683-8503, Japan.
J Orthop Sci. 2016 May;21(3):354-60. doi: 10.1016/j.jos.2016.02.003. Epub 2016 Mar 25.
Gait variability analysed using an accelerometer provides a unique measurement of locomotive dysfunction in patients with musculoskeletal disease or in frail elderly subjects. Therefore, assessing gait variability may become a clinical screening method for the locomotive syndrome. The purpose of this study was to investigate whether gait variability analysed using an accelerometer was associated with locomotive syndrome in the general elderly population.
A total of 273 residents were screened after a yearly medical check-up, and of these, 223 subjects (mean age, 73.6 ± 8.3 years) met the eligibility criteria. Demographic information, body function and structure measurements (bone mass, grip strength, muscle mass, and postural alignment), and gait parameters were assessed. Gait variability analysis was based on acceleration using a wireless tri-axial accelerometer attached to the 3rd lumbar vertebra process by a trunk belt. Autocorrelation coefficients were used to represent gait variability in three directions: vertical, mediolateral, and anteroposterior. The subjects were classified as either having or not having the locomotive syndrome based on the 5-question Geriatric Locomotive Function Scale.
Of the 223 subjects, 41 (18.3%) had the locomotive syndrome. Autocorrelation coefficients in three directions were lower in the subjects with locomotive syndrome. Using multivariate logistic regression analysis with adjustment factors, of the autocorrelation coefficients only gait variability in the vertical axis remained a significant independent associated with the locomotive syndrome.
This finding suggested that gait variability based on evaluation of autocorrelation coefficients in the vertical axis measured using an accelerometer has the potential to become a screening method for the locomotive syndrome in the general elderly population.
使用加速度计分析步态变异性可为肌肉骨骼疾病患者或体弱老年人的运动功能障碍提供独特的测量方法。因此,评估步态变异性可能成为运动综合征的一种临床筛查方法。本研究的目的是调查使用加速度计分析的步态变异性是否与一般老年人群的运动综合征相关。
在年度体检后对273名居民进行筛查,其中223名受试者(平均年龄73.6±8.3岁)符合纳入标准。评估了人口统计学信息、身体功能和结构测量指标(骨量、握力、肌肉量和姿势对线)以及步态参数。步态变异性分析基于使用躯干带固定在第三腰椎棘突上的无线三轴加速度计的加速度。自相关系数用于表示垂直、内外侧和前后三个方向的步态变异性。根据5个问题的老年运动功能量表将受试者分为患有或未患有运动综合征。
在223名受试者中,41名(18.3%)患有运动综合征。患有运动综合征的受试者在三个方向上的自相关系数较低。在使用调整因素的多因素逻辑回归分析中,仅垂直轴上的步态变异性自相关系数仍然是与运动综合征显著独立相关的因素。
这一发现表明,基于使用加速度计测量的垂直轴自相关系数评估的步态变异性有可能成为一般老年人群运动综合征的一种筛查方法。