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Prediction of Falls Using a 3-m Zigzag Walk Test

机译:使用3-m之字形行走测试预测跌倒

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摘要

[Objective] This study investigated the applicability of a 3-m zigzag walk test for the prediction of falls and examined the relationships among fall history, the 3-m zigzag walk test, 10-m walk, and age. [Subjects] A total of 50 elderly individuals (23 males and 27 females) aged 65 and over, who were able to walk independently, were studied. [Methods] Four poles made of PET bottles were placed on a 3-m walkway in a straight line to create a zigzag course, and the time needed to walk it was measured. The best results on days 1 and 2 were adopted for the fall and no-fall groups, and intra-rater reproducibility was evaluated by calculating the intra-class correlation coefficient and performing the paired t-test. For comparison of the time needed to walk the zigzag between the 2 groups, the unpaired t-test was performed. The relationships between the times needed to walk the 3-m zigzag and 10 m and age were analyzed by calculating the correlation coefficient with fall history as the dependent variable, in multiple logistic regression analysis with the times needed to walk the 3-m zigzag and 10 m and age as independent variables. For the optimal classification of the fall and no-fall groups, cutoffs were calculated based on the ROC curve. [Results] The paired t-test results did not show differences between measurements, and the ICC was 0.97 in the fall, and 0.94 in the no-fall groups. The fall group needed significantly more time than the no-fall group to walk the 3-m zigzag. Further, thePearson product-moment correlation coefficient revealed a significant correlation betweenthe times needed to walk the 3-m zigzag and 10 m, while no correlation was observedbetween the time needed to walk the 3-m zigzag and age (r=0.225). The time needed to walkthe 3-m zigzag was extracted as a factor associated with fall history in multiple logisticregression analysis, with an odds ratio of 0.377. Its significance as a variable wasp<0.01. In the Hosmer-Lemeshow test of the study model, the rate of discriminationbetween the predicted and actual values was 82.0%. [Conclusion] The cutoff time to walkthe 3-m zigzag was estimated to be 10.5 seconds, suggesting that this model may be a validindex for the prediction of falls.
机译:[目的]研究3 m曲折行走测试对跌倒预测的适用性,并考察跌倒历史,3 m曲折行走测试,10 m行走和年龄之间的关系。 [对象]研究了50位65岁及以上且能够独立行走的老年人(男性23位,女性27位)。 [方法]将4根PET瓶制成的杆子沿直线放置在3米长的人行道上,以形成锯齿形路线,并测量其行走所需的时间。跌倒和不跌倒组在第1天和第2天获得最佳结果,通过计算组内相关系数并进行配对t检验来评估评定者内的可重复性。为了比较两组之间曲折行走所需的时间,进行了未配对的t检验。通过以跌倒历史为因变量,计算相关系数,并以3-m曲折行走的时间和年龄,通过分析相关系数,分析了3-m曲折行走的时间和10 neededm与年龄之间的关系。 10 m和年龄作为自变量。为了对跌倒和不跌倒组进行最佳分类,根据ROC曲线计算了临界值。 [结果]配对的t检验结果没有显示测量之间的差异,秋天的ICC为0.97,没有跌落的ICC为0.94。跌倒组比不跌倒组走3米之字形需要更多的时间。此外,皮尔逊乘积矩相关系数表明行走3米曲折和10米时所需的时间,但未观察到相关性在行走3米曲折所需的时间与年龄之间(r = 0.225)。走路所需的时间在多逻辑分析中提取了3-m之字形作为与跌倒历史记录相关的因素回归分析,优势比为0.377。它作为变量的意义是p <0.01。在研究模型的Hosmer-Lemeshow检验中,歧视率预测值和实际值之间的差异为82.0%。 [结论]步行的截止时间3-m之字形估计为10.5秒,表明该模型可能是有效的预测跌倒的索引。

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