使用层次聚类分析导致足部畸形的人体测量和生物力学变量的树形图:一项横断面研究

Başar Öztürk PhD , Yusuf Çelik PhD
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引用次数: 3

摘要

目的通过树形图确定与病理力学状况相关的因素,并确定变量的聚类趋势。方法对108名物理治疗学生(21.36±1.35岁)进行横断面研究。纳入研究的变量包括股四头肌(Q)、距下、外翻角、内侧纵弓(MLA)和拇外翻角。测量MLA和跖骨宽度,并在加权和非加权条件下进行舟形落差试验。采用层次聚类分析来确定变量的聚类倾向,并观察这些聚类如何收敛。结果采用层次聚类分析得到两个主要的变量聚类。在第一个主群中,发现左右两侧加权和非加权跖骨宽度、年龄、拇外翻角和左右距下旋前角之间存在显著相关。在第二个主要聚类中,加权和非加权MLA、膝关节外翻和Q角、体重、体重指数、加权和非加权舟骨落差值、性别和身高之间存在显著相关。结论MLA、拇外翻角、膝外翻角、Q角、体重、体重指数、加权和非加权舟骨落差、性别、身高等变量与病理力学条件有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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

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.

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