Factor Analysis of Individual Factors Associated with Low Arch Height Ratio of the Foot by SVM-RFE

DOI Web Site
  • NAKAO Hidetoshi
    School of Rehabilitation, Osaka Kawasaki Rehabilitation University Graduate School of Technology, Tokushima University
  • IMAOKA Masakazu
    School of Rehabilitation, Osaka Kawasaki Rehabilitation University
  • OKA Kenji
    School of Rehabilitation, Osaka Kawasaki Rehabilitation University
  • MORIFUJI Takeshi
    Faculty of Social Work Studies, Josai International University
  • HASHIMOTO Masashi
    Faculty of Health Science, Naragakuen University
  • MATSUMOTO Kazuyuki
    School of Technology, Industrial and Social Sciences, Tokushima University
  • KITA Kenji
    School of Technology, Industrial and Social Sciences, Tokushima University

Bibliographic Information

Other Title
  • SVM-RFEを用いた足部アーチ高比の低下を有する人の関連要因分析
  • SVM-RFE オ モチイタ ソクブ アーチ コウヒ ノ テイカ オ ユウスル ヒト ノ カンレン ヨウイン ブンセキ

Search this article

Abstract

<p>The study aimed to investigate factors related to the characteristics of the lower arch of the foot using the arch height ratio calculated from the dorsum height and foot length. A nonlinear regression analysis, SVM-RFE, was conducted using low arch as the dependent variable and patient attributes as explanatory variables to identify factors related to lower arch of the foot. This survey recruited 1,178 community-dwelling participants (485 men, 693 women) in Japan. A questionnaire was administered, and the foot arch ratio was measured. There were 207 participants in the low arch group and 971 in the non-low arch group. Age, height, weight, foot length, and body mass index were used as explanatory variables. From the classification of explanatory variables by SVM RFE, age, foot length, and weight were identified as factors related to the foot arch. Although there were few explanatory variables in the present study, SVM RFE was an effective method for analysis of factors associated with lower arch of the foot.</p>

Journal

Keywords

Details 詳細情報について

Report a problem

Back to top