The harmonic ratio of trunk acceleration predicts falling among older people: results of a 1-year prospective study

The harmonic ratio of trunk acceleration predicts falling among older people: results of a 1-year prospective study
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DOI:
10.1186/1743-0003-10-7
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发表时间:
2013-01-28
影响因子:
5.1
通讯作者:
Ando, Hiroshi
Ando, Hiroshi
中科院分区:
工程技术2区
文献类型:
--
作者:
Doi, Takehiko;Hirata, Soichiro;Ando, Hiroshi

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背景资料:从躯干加速度计得出的步态变量可以预测福尔斯的风险,但是,它们与福尔斯的关系还没有完全了解。本研究的目的是确定哪些步态变量来自上,下躯干加速度与福尔斯的发病率,并比较步态变量和身体performance.Methods的辨别能力:这项研究是一个为期1年的前瞻性研究。老年人(n = 73)正常行走,同时佩戴加速度计连接到上,下躯干。根据1年内福尔斯的发生率,将参与者分为跌倒者(n = 16)和非跌倒者(n = 57)。测量上、下躯干的谐波比(HR)。结果:跌倒者上、下躯干的心率均显著低于非跌倒者(P < 0.05);在调整包括身体表现在内的混杂因素后,上躯干HR与福尔斯的发生率独立相关(P < 0.05)。因此,上躯干HR显示出较高的区分福尔斯的风险(AUC = 0.81)。结论:来自上躯干加速度计的HR可以预测福尔斯的风险,独立的身体性能。HR对福尔斯跌倒风险的区分能力可能具有一定的有效性,需要进一步的研究来证实躯干HR的临床相关性。
Background: Gait variables derived from trunk accelerometry may predict the risk of falls; however, their associations with falls are not fully understood. The purpose of the study was to determine which gait variables derived from upper and lower trunk accelerometry are associated with the incidence of falls, and to compare the discriminative ability of gait variables and physical performance.Methods: This study was a 1-year prospective study. Older people (n = 73) walked normally while wearing accelerometers attached to the upper and lower trunk. Participants were classified as fallers (n = 16) or non-fallers (n = 57) based on the incidence of falls over 1 year. The harmonic ratio (HR) of the upper and lower trunk was measured. Physical performance was measured in five chair stands and in the timed up and go test.Results: The HR of the upper and lower trunk were consistently lower in fallers than non-fallers (P < 0.05). Upper trunk HR, was independently associated with the incidence of falls (P < 0.05) after adjusting for confounding factors including physical performances. Consequently, upper trunk HR showed high discrimination for the risk of falls (AUC = 0.81).Conclusions: HR derived from upper trunk accelerometry may predict the risk of falls, independently of physical performance. The discriminative ability of HR for the risk of falls may have some validity, and further studies are needed to confirm the clinical relevance of trunk HR.