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基于上下楼梯速度几何平均值的社区居住老年人爬楼梯能力水平识别:GeMSS分类器

Identification of stair climbing ability levels in community-dwelling older adults based on the geometric mean of stair ascent and descent speed: The GeMSS classifier.

作者信息

Mayagoitia Ruth E, Harding John, Kitchen Sheila

机构信息

Division of Health and Social Care Research, King's College London, Guy's Campus, London SE1 1UL, United Kingdom.

Harding Innovation and Design, 50 Hugh Squier Avenue, South Molton, Devon EX36 3DR, United Kingdom.

出版信息

Appl Ergon. 2017 Jan;58:81-88. doi: 10.1016/j.apergo.2016.05.014. Epub 2016 Jun 10.

DOI:10.1016/j.apergo.2016.05.014
PMID:27633200
Abstract

The aim was to develop a quantitative approach to identify three stair-climbing ability levels of older adults: no, somewhat and considerable difficulty. Timed-up-and-go test, six-minute-walk test, and Berg balance scale were used for statistical comparison to a new stair climbing ability classifier based on the geometric mean of stair speeds (GeMSS) in ascent and descent on a flight of eight stairs with a 28° pitch in the housing unit where the participants, 28 (16 women) urban older adults (62-94 years), lived. Ordinal logistic regression revealed the thresholds between the three ability levels for each functional test were more stringent than thresholds found in the literature to classify walking ability levels. Though a small study, the intermediate classifier shows promise of early identification of difficulties with stairs, in order to make timely preventative interventions. Further studies are necessary to obtain scaling factors for stairs with other pitches.

摘要

目的是开发一种定量方法,以确定老年人爬楼梯能力的三个水平:无困难、有点困难和相当困难。采用计时起立行走测试、六分钟步行测试和伯格平衡量表,与基于参与者(28名(16名女性)城市老年人(62 - 94岁)居住的住房单元中一段有28°坡度的八级楼梯上、下楼梯速度几何平均值(GeMSS)的新爬楼梯能力分类器进行统计比较。有序逻辑回归显示,每种功能测试的三个能力水平之间的阈值比文献中用于分类步行能力水平的阈值更为严格。尽管是一项小型研究,但中间分类器显示出早期识别爬楼梯困难的前景,以便及时进行预防性干预。需要进一步研究以获得其他坡度楼梯的缩放因子。

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