Literature DB >> 25623856

Application of the Gillette Gait Index, Gait Deviation Index and Gait Profile Score to multiple clinical pediatric populations.

Mark L McMulkin1, Bruce A MacWilliams2.   

Abstract

Gait indices are now commonly used to assess overall pathology and outcomes from studies with instrumented gait analyses. There are differences in how these indices are calculated and therefore inherent differences in their sensitivities to detect changes or differences between groups. The purpose of the current study was to examine the three most commonly used gait indices, Gillette Gait Index (GGI), Gait Deviation Index (GDI), and Gait Profile Score (GPS), comparing the statistical sensitivity and the ability to make meaningful interpretations of the clinical results. In addition, the GDI*, a log transformed and scaled version of the GPS score which closely matches the GDI was examined. For seven previous or ongoing studies representing varying gait pathologies seen in clinical laboratories, the GGI, GDI, and GPS/GDI* were calculated retrospectively. The GDI and GPS/GDI* proved to be the most sensitive measures in assessing differences pre/post-treatment or from a control population. A power analysis revealed the GDI and GDI* to be the most sensitive statistical measures (lowest sample sizes required). Subjectively, the GDI and GDI* interpretation seemed to be the most intuitive measure for assessing clinical changes. However, the gait variable sub-scores of the GPS determined several statistical differences which were not previously noted and was the only index tool for quantifying the relative contributions of specific joints or planes of motion. The GGI did not offer any advantages over the other two indices.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gait Deviation Index; Gait Profile Score; Gait analysis; Gillette Gait Index

Mesh:

Year:  2015        PMID: 25623856     DOI: 10.1016/j.gaitpost.2015.01.005

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  4 in total

1.  Children with Cerebral Palsy Have Similar Walking and Running Quality Assessed by an Overall Kinematic Index.

Authors:  Devin K Kelly; Mark L McMulkin; Corinna Franklin; Kevin M Cooney
Journal:  Int J Environ Res Public Health       Date:  2021-04-28       Impact factor: 3.390

2.  A Compound Hop Index for Assessing Soccer Players' Performance.

Authors:  Łukasz Oleksy; Aleksandra Królikowska; Anna Mika; Maciej Kuchciak; Daniel Szymczyk; Marian Rzepko; Grzegorz Bril; Robert Prill; Artur Stolarczyk; Paweł Reichert
Journal:  J Clin Med       Date:  2022-01-04       Impact factor: 4.241

3.  Multi-joint gait clustering for children and youth with diplegic cerebral palsy.

Authors:  Gregor Kuntze; Alberto Nettel-Aguirre; Gina Ursulak; Ion Robu; Nicole Bowal; Simon Goldstein; Carolyn A Emery
Journal:  PLoS One       Date:  2018-10-24       Impact factor: 3.240

4.  Assessment of the Kinematic Adaptations in Parkinson's Disease Using the Gait Profile Score: Influences of Trunk Posture, a Pilot Study.

Authors:  Tauana Callais Franco do Nascimento; Flavia Martins Gervásio; Antonia Pignolo; Guilherme Augusto Santos Bueno; Aline Araújo do Carmo; Darlan Martins Ribeiro; Marco D'Amelio; Felipe Augusto Dos Santos Mendes
Journal:  Brain Sci       Date:  2021-12-03
  4 in total

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