ArticleJournal of chiropractic medicine2022
Dendrogram for Anthropometric and Biomechanical Variables Causing Foot Deformities by Using Hierarchical Cluster Analysis: A Cross-Sectional Study.
Article in Journal of chiropractic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Effects of core-lower limb coordinated Pilates on gait and balance in women with flexible pes planus: a pilot randomized controlled trial.International biomechanics · 2026Trial
- Bridging inflammation and proliferation: scRNA-seq analysis of chemotactic and growth factor signaling in mouse skin wound repair.Frontiers in immunology · 2025Article
- AI-Enhanced evaluation of YouTube content on post-surgical incontinence following pelvic cancer treatment.SSM - population health · 2024Article
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2 authors.
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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.
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