Journal of Bone and Mineral Metabolism

, Volume 24, Issue 5, pp 419–424

Clinical factors as predictors of the risk of falls and subsequent bone fractures due to osteoporosis in postmenopausal women

Authors

    • Department of Physical and Health Education, Graduate School of EducationThe University of Tokyo
  • Kang Jung Kim
    • Department of Orthopedic SurgeryTokyo Women's Medical University
  • Tetsuo Kaminai
    • Department of RehabilitationTokyo Koseinenkin Hospital
  • Hiroyasu Okuizumi
    • Department of Orthopedic SurgeryNational Center for Geriatrics and Gerontology
  • Hiroharu Kamioka
    • Laboratory of Physical and Health Education, Faculty of Regional Environment ScienceTokyo University of Agriculture
  • Shinpei Okada
    • Laboratory of Physical Education and Medicine
  • Hyuntae Park
    • Department of Physical and Health Education, Graduate School of EducationThe University of Tokyo
  • Ayumi Hasegawa
    • Department of Physical and Health Education, Graduate School of EducationThe University of Tokyo
  • Yoshiteru Mutoh
    • Department of Physical and Health Education, Graduate School of EducationThe University of Tokyo
  • Iwao Yamamoto
    • Faculty of Textile Science and TechnologyShinshu University
PRELIMINARY REPORT

DOI: 10.1007/s00774-006-0704-1

Cite this article as:
Komatsu, T., Kim, K., Kaminai, T. et al. J Bone Miner Metab (2006) 24: 419. doi:10.1007/s00774-006-0704-1

Abstract

In Japan, the “bedridden state” is one of the most serious problems the aged face, and it is becoming a social problem. The main causes of the bedridden state are cerebrovascular disorders and bone fractures following falls. The purpose of this study was to predict risk factors for falls and resultant bone fracture due to osteoporosis. We explored mobility parameters for possible fall prevention. In order to examine the correlation between the risk of falling and resultant bone fracture due to osteoporosis, logistic regression analysis was performed between bone mass (independent variable) and various factors dependent variables: body mass index [BMI], body fat percentage, atherogenic index, presence of transformation-related osteoarthritis of knee, presence of transformation-related osteoarthritis of spine, maximum step length, single-leg stance with open eyes, and hip-joint flexion motion angle); predictive factors were then examined. Predictive factors were determined by the stepwise method. Subjects who could not perform the “single-leg stance with open eyes” test had a risk of falling and bone fracture 2.49 times as large as that of subjects who could. The “single-leg stance with open eyes” test may be considered a useful method for the early detection of the risk of falling and bone fracture associated with osteoporosis. As a first step to identify factors predicting the occurrence of falls and bone fractures due to osteoporosis, we intended to discover an indicator that would help to detect incipient osteoporosis.

Key words

osteoporosisfallssingle-leg stance with open eyespredictive factorslogistic regression analysis

Copyright information

© Springer-Verlag Tokyo 2006