Flatfoot Diagnosis by a Unique Bimodal Distribution of Footprint Index in Children

Chia-Hsieh Chang, Yu-Chen Chen, Wen-Tien Yang, Pei-Chi Ho, Ai-Wen Hwang, Chien-Hung Chen, Jia-Hao Chang and Liang-Wey Chang

PLOS ONE, 2014, vol. 9, issue 12, 1-11

Abstract: Background: More than 1000 scientific papers have been devoted to flatfoot issue. However, a bimodal distribution of flatfoot indices in school-aged children has never been discovered. The purposes of this study were to establish a new classification of flatfoot by characteristic in frequency distribution of footprint index and to endue the classification with discrepancy in physical fitness. Methods/Principal Findings: In a longitudinal survey of physical fitness and body structure, weight bearing footprints and 3 physical fitness related tests were measured in 1228 school-aged children. Frequency distribution of initial data was tested by Kolmogorov-Smirnov test for normality and a unique bimodal distribution of footprint index was identified. The frequency distribution of footprint index manifests two distinct modes, flatfoot and non-flatfoot, by deconvolution and bootstrapping procedures. A constant intersection value of 1.0 in Staheli's arch index and 0.6 in Chippaux-Smirak index could distinguish the two modes of children, and the value was constant in different age, sex, and weight status. The performance of the one leg balance was inferior in flatfoot girls (median, 4.0 seconds in flatfoot girls vs. 4.3 seconds in non-flatfoot girls, p = 0.04, 95% CI 0.404–0.484). Discussion: The natural bimodality lends itself to a flatfoot classification. Bimodality suggests development of the child's foot arch would be a leap from one state to another, rather than a continuous growth as body height and weight. The underlying dynamics of the human foot arch and motor development will trigger research prospects.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0115808

DOI: 10.1371/journal.pone.0115808

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