Development of Screening Method for an Frail Elderly by Measurement Quantitative Lower Limb Muscular Strength

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  • Yamashita Kazuhiko
    Dept. of Healthcare, Division of Health Informatics, Tokyo Healthcare Univ. Research Center for Advanced Science and Technology, The University of Tokyo
  • Iwakami Yumi
    Dept. of Healthcare, Division of Health Informatics, Tokyo Healthcare Univ.
  • Imaizumi Kazuya
    Dept. of Healthcare, Division of Health Informatics, Tokyo Healthcare Univ.
  • Sato Mitsuru
    School of Nursing & Rehabilitation Sciences, Showa University
  • Nakajima Sawako
    Intelligent Modeling Laboratory (IML), The University of Tokyo
  • Ino Shuichi
    National Institute of Advanced Industrial Science and Technology
  • Kawasumi Masashi
    School of Science and Technology for Future Life, Dept. of Information Systems and Multimedia Design, Tokyo Denki University
  • Ifukube Tohru
    Research Center for Advanced Science and Technology, The University of Tokyo

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Other Title
  • 定量的下肢筋力計測による虚弱高齢者のスクリーニング手法の開発
  • テイリョウテキ カシ キンリョク ケイソク ニ ヨル キョジャク コウレイシャ ノ スクリーニング シュホウ ノ カイハツ

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Abstract

Falling is one of the most serious problems for the elderly. The aim of this study was to develop a screening method for identifying factors that increase the risk of falling among the elderly, particularly with regard to lower limb muscular strength. Subjects were 48 elderly volunteers, including 25 classed as healthy and 23 classed as frail. All subjects underwent measurement of lower limb muscular strength via toe gap force and measurement of muscle strength of the hip joint adductor via knee gap force. In the frail group, toe gap force of the right foot was 20% lower than that in the healthy group; toe gap force of the left foot in the frail group was 23% lower than that in the healthy group, while knee gap force was 20% lower. Furthermore, we found that combining left toe gap force and knee gap force gave the highest odds ratio (6.05) with 82.6% sensitivity and 56.0% specificity when the toe gap force was 24 N and the knee gap force was 100 N. Thus, lower limb muscular strength can be used for simple and efficient screening, and approaches to prevent falls can be based on quantitative data such as lower limb muscular strength.

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