title: Gait parameters predicted by Timed Up and Go performance in stroke patients.
abstract: BACKGROUND
  The Timed Up and Go (TUG) is a test of functional mobility which is routinely used in the assessment of hemiparetic patients. This easy and rapid to perform test includes motor tasks which occur frequently in daily life (stand up, walk, turn, sit down). Correlations between TUG performance and kinematic and kinetic gait parameters have never been studied.
  
  
  OBJECTIVE
  The aim of this study was to determine whether kinematic and kinetic gait parameters would be more related to TUG performance than spatio-temporal parameters in stroke patients.
  
  
  METHODS
  Sixty hemiparetic patients able to walk alone performed the TUG test and underwent 3D gait analysis and a clinical evaluation. A stepwise regression analysis was used to select the gait variables that best explained the variability in TUG performance.
  
  
  RESULTS
  The percentage of the gait cycle spent in single support phase on the paretic limb was the factor which was the most predictive and correlated with TUG performance, explaining 67% of the variance. No kinematic or kinetic gait parameters explained TUG performance. The results also suggested that TUG performance is mainly related to paretic lower limb motor function.
  
  
  CONCLUSIONS
  TUG performance in hemiparetic patients mainly depends on the motor ability of the paretic lower limb, particularly the single support phase on the paretic side. Kinematic and kinetic gait parameters do not predict the TUG performance in stroke patients.
authors.affiliation: Université Versailles Saint Quentin en Yvelines, APHP Service de physiologie et d'exploration fonctionnelle, Hôpital Raymond Poincaré, Garches, France Laboratoire AGIM, FRE 3405 CNRS/UJF Grenoble/UPMF/EPHE, La Tronche, France.
authors.forename: Céline
authors.initials: C
authors.lastname: Bonnyaud
authors.affiliation: Université Versailles Saint Quentin en Yvelines, APHP Service de physiologie et d'exploration fonctionnelle, Hôpital Raymond Poincaré, Garches, France.
authors.forename: Didier
authors.initials: D
authors.lastname: Pradon
authors.affiliation: Université Versailles Saint Quentin en Yvelines, APHP Service de physiologie et d'exploration fonctionnelle, Hôpital Raymond Poincaré, Garches, France.
authors.forename: Raphael
authors.initials: R
authors.lastname: Zory
authors.affiliation: Université Versailles Saint Quentin en Yvelines, APHP Service de médecine physique et réadaptation, Hôpital Raymond Poincaré, Garches, France.
authors.forename: Djamel
authors.initials: D
authors.lastname: Bensmail
authors.affiliation: Laboratoire AGIM, FRE 3405 CNRS/UJF Grenoble/UPMF/EPHE, La Tronche, France Institut Universitaire de France, Boulevard Saint-Michel, Paris, France.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Vuillerme
authors.affiliation: Université Versailles Saint Quentin en Yvelines, APHP Service de physiologie et d'exploration fonctionnelle, Hôpital Raymond Poincaré, Garches, France.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Roche
mesh_terms: D000328:Adult; D000368:Aged; D001696:Biomechanical Phenomena; D005080:Exercise Test / Q000592:standards*; D005260:Female; D005684:Gait / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D010291:Paresis / Q000209:etiology / Q000503:physiopathology*; D020521:Stroke / Q000150:complications / Q000503:physiopathology*
keywords: Timed Up and Go test; gait analysis; gait parameters; hemiparesis; predictive factors