Usefulness of Assessment Tools Used in the Classroom for Fall Prevention of Community-Dwelling Elderly Women

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  • MATSUDA Kensuke
    Department of Physical Therapy, Fukuoka School of Rehabilitation Sciences, International University of Health and Welfare Division of Cognitive Neuropsychology Graduate School of Medicine, Saga University
  • NAKAHARA Masami
    Department of Physical Therapy, Fukuoka School of Rehabilitation Sciences, International University of Health and Welfare Division of Cognitive Neuropsychology Graduate School of Medicine, Saga University
  • NAGAI Yoshiharu
    Department of Physical Therapy, Fukuoka School of Rehabilitation Sciences, International University of Health and Welfare
  • KANEKO Hideo
    Department of Physical Therapy, Fukuoka School of Rehabilitation Sciences, International University of Health and Welfare
  • KIHARA Taishi
    Sugawara Hospital
  • ITO Kenichi
    Social Insurance Omuta Yoshino Hospital
  • HORIKAWA Etsuo
    Division of Cognitive Neuropsychology Graduate School of Medicine, Saga University

Bibliographic Information

Other Title
  • 地域在住女性高齢者の転倒予防教室で用いる評価項目の有用性
  • チイキ ザイジュウ ジョセイ コウレイシャ ノ テントウ ヨボウ キョウシツ デ モチイル ヒョウカ コウモク ノ ユウヨウセイ

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Abstract

[Purpose] We investigated the usefulness of assessment tools used in fall prevention classroom. [Subjects] The subjects were 33 community-dwelling elderly women. [Method] Assessment tools for measurement were selected based on motor function, stride time variability, gait parameters, such as root mean square (RMS), and level of daily activities. In univariate analysis, stride time variability was found to be significantly greater for fallers than for non-fallers. The cut-off value and the area under the curve (AUC) were determined from the receiver-operating-characteristic (ROC). [Results] Significant differences were observed between the fallers group and no-fallers group in stride time variability and level of daily activities. Logistic regression analysis showed stride time variability and level of daily activities were significantly associated with falls. AUC of stride time variability was 0.79, and that of the level of daily activities was 0.20. The degree of sensitivity of stride time variability for falls was 69% (specificity: 85%, accuracy: 79%) when the cut-off value was estimated to be 2.26%. [Conclusion] Our study suggests that stride time variability is a useful assessment tool for predicting falls.<br>

Journal

  • Rigakuryoho Kagaku

    Rigakuryoho Kagaku 27 (6), 635-639, 2012

    The Society of Physical Therapy Science

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