A decision model to predict the risk of the first fall onset.

Journal: Experimental gerontology
Published Date: Apr 23, 2016

Abstract

BACKGROUND: Miscellaneous features from various domains are accepted to be associated with the risk of falling in the elderly. However, only few studies have focused on establishing clinical tools to predict the risk of the first fall onset. A model that would objectively and easily evaluate the risk of a first fall occurrence in the coming year still needs to be built.

Authors

  • Thibault Deschamps
    Laboratory MIP (UPRES-EA4334), University of Nantes, France. Electronic address: thibault.deschamps@univ-nantes.fr.
  • Camille G Le Goff
    Laboratory Courtine, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
  • Gilles Berrut
    CHU Nantes, Pôle hospitalo-universitaire de gérontologie clinique, France, Gérontopôle Autonomie Longévité Pays de la Loire, France.
  • Christophe Cornu
    Laboratory MIP (UPRES-EA4334), University of Nantes, France.
  • Jean-Baptiste Mignardot
    Laboratory MIP (UPRES-EA4334), University of Nantes, France; Laboratory Courtine, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. Electronic address: mignardot.jb@gmail.com.

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