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使用层次聚类分析对导致足部畸形的人体测量和生物力学变量进行聚类分析的横断面研究。

Dendrogram for Anthropometric and Biomechanical Variables Causing Foot Deformities by Using Hierarchical Cluster Analysis: A Cross-Sectional Study.

作者信息

Öztürk Başar, Çelik Yusuf

机构信息

Occupational Therapy Department, Faculty of Health Sciences, Biruni University, İstanbul, Turkey.

Biostatistics Department, Faculty of Medicine, Biruni University, İstanbul, Turkey.

出版信息

J Chiropr Med. 2022 Jun;21(2):108-115. doi: 10.1016/j.jcm.2022.02.009. Epub 2022 Apr 4.

DOI:10.1016/j.jcm.2022.02.009
PMID:35774634
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9237588/
Abstract

OBJECTIVE

The purpose of this study was to determine the factors associated with pathomechanical conditions and to determine the clustering tendency of the variables by dendrogram.

METHODS

The cross-sectional study was carried out with 108 physiotherapy students aged 21.36 ± 1.35 years. The variables included in the study were quadriceps (Q), subtalar, and valgus angles and medial longitudinal arch (MLA) and hallux valgus angles. The MLA and metatarsal width were measured and navicular drop tests performed under weighted and nonweighted conditions. Hierarchical cluster analysis was used to determine the clustering tendency of the variables and see how these clusters might converge.

RESULTS

Two main clusters of variables were obtained using hierarchical cluster analysis. In the first main cluster, the weighted and nonweighted metatarsal widths of the left and right sides, age, hallux valgus angle, and subtalar pronation angles of the left and right sides were found to be significantly related to each other. In the second main cluster, the weighted and nonweighted MLA, knee valgus and Q angles, weight, body mass index, weighted and nonweighted navicular drop values, gender, and height were found to be significantly related to each other.

CONCLUSION

The relationships between variables such as MLA, hallux valgus angles, knee valgus and Q angles, weight, body mass index, weighted and nonweighted navicular drop values, gender, and height seem to be associated with pathomechanical conditions.

摘要

目的

本研究旨在确定与病理力学状况相关的因素,并通过树状图确定变量的聚类趋势。

方法

对108名年龄在21.36±1.35岁的物理治疗专业学生进行了横断面研究。纳入研究的变量包括股四头肌(Q)、距下关节、外翻角以及内侧纵弓(MLA)和拇外翻角。测量了MLA和跖骨宽度,并在负重和非负重条件下进行了舟骨下垂试验。采用层次聚类分析来确定变量的聚类趋势,并观察这些聚类如何聚合。

结果

通过层次聚类分析得到了两个主要的变量聚类。在第一个主要聚类中,发现左右两侧的负重和非负重跖骨宽度、年龄、拇外翻角以及左右两侧的距下关节旋前角之间存在显著相关性。在第二个主要聚类中,发现负重和非负重MLA、膝外翻和Q角、体重、体重指数、负重和非负重舟骨下垂值、性别和身高之间存在显著相关性。

结论

MLA、拇外翻角、膝外翻和Q角、体重、体重指数、负重和非负重舟骨下垂值、性别和身高之间的关系似乎与病理力学状况相关。

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Acta Orthop Traumatol Turc. 2019 Mar;53(2):145-149. doi: 10.1016/j.aott.2018.12.008. Epub 2019 Jan 9.
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The kinetic and kinematic stability measures in healthy adult subjects with and without flat foot.有扁平足和无扁平足的健康成年受试者的动力学和运动学稳定性测量
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Prevalence of flatfoot among school students and its relationship with BMI.在校学生扁平足的患病率及其与体重指数的关系。
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