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识别用于测量鞋类舒适感知的具有临床意义的工具。

Identifying clinically meaningful tools for measuring comfort perception of footwear.

机构信息

School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Queensland, Australia.

出版信息

Med Sci Sports Exerc. 2010 Oct;42(10):1966-71. doi: 10.1249/MSS.0b013e3181dbacc8.

DOI:10.1249/MSS.0b013e3181dbacc8
PMID:20216463
Abstract

PURPOSE

Measures of comfort are important in the prescription and development of footwear. The purpose of our study was to examine three commonly used scales (visual analog scale (VAS), Likert scale, and ranking scale) to determine the most reliable, to calculate a minimal clinically important change in rating scales, and to explore dimensions of comfort important to the patient.

METHODS

Twenty subjects were allocated consecutively to two experiments consisting of five sessions of repeated measures. Using comfort measures from each subject's usual jogging shoe, experiment 1 examined the reliability of VAS and Likert scale over six dimensions of the foot, including overall comfort. The second experiment examined the reliability of ranking scale by assessing the ranked position of the shoe. Comfort measures were obtained in both walking and jogging.

RESULTS

The ranking scale was the most stable scale. Mixed linear modeling found that VAS was more stable than the Likert scale. The VAS required two sessions to become reliable for all measures but those obtained from the heel, which required more. Using a data-derived approach, a clinically important change in comfort was 9.59 mm on the 100-mm VAS; using an anchor-based approach, it was 10.2 mm. Subjects identified arch comfort as the most important consideration in footwear comfort.

CONCLUSIONS

Ranking scale and VAS are reliable measures of footwear comfort. Using the VAS, changes of 9.59 and 10.2 mm indicate a clinically relevant change in comfort. The most important dimensions to the patient are overall comfort and the arch.

摘要

目的

舒适度测量在鞋类的处方和开发中很重要。我们研究的目的是检验三种常用的量表(视觉模拟量表(VAS)、李克特量表和排序量表),以确定最可靠的量表,计算量表评分的最小临床重要变化,并探索对患者重要的舒适度维度。

方法

20 名受试者连续分配到两个实验中,每个实验包含五次重复测量的会话。使用每个受试者惯用慢跑鞋的舒适度测量值,实验 1 检验了 VAS 和李克特量表在足部六个维度(包括整体舒适度)上的可靠性。第二个实验通过评估鞋的排序位置检验了排序量表的可靠性。在步行和慢跑时都获得了舒适度测量值。

结果

排序量表是最稳定的量表。混合线性建模发现 VAS 比李克特量表更稳定。VAS 需要两个会话才能对所有测量值变得可靠,但对脚跟的测量值则需要更多的会话。使用数据推导方法,舒适度的临床重要变化为 VAS 上的 9.59mm;使用基于锚定的方法,它为 10.2mm。受试者认为足弓舒适度是鞋类舒适度的最重要考虑因素。

结论

排序量表和 VAS 是可靠的鞋类舒适度测量工具。使用 VAS,9.59 和 10.2mm 的变化表明舒适度有临床相关的变化。对患者最重要的维度是整体舒适度和足弓。

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