Literature DB >> 22867766

Evaluation of gait and slip parameters for adults with intellectual disability.

Courtney A Haynes1, Thurmon E Lockhart.   

Abstract

Adults with intellectual disability (ID) experience more falls than their non-disabled peers. A gait analysis was conducted to quantify normal walking, and an additional slip trial was performed to measure slip response characteristics for adults with ID as well as a group of age- and gender-matched controls. Variables relating to gait pattern, slip propensity, and slip severity were assessed to compare the differences between groups. The ID group was found to have significantly slower walking speed, shorter step lengths, and increased knee flexion angles at heel contact. These gait characteristics are known to reduce the likelihood of slip initiation in adults without ID. Despite a more cautious gait pattern, however, the ID group exhibited greater slip distances indicating greater slip severity. This study suggests that falls in this population may be due to deficient slip detection or insufficient recovery response. Published by Elsevier Ltd.

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Year:  2012        PMID: 22867766      PMCID: PMC3438330          DOI: 10.1016/j.jbiomech.2012.07.003

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  27 in total

Review 1.  Biomechanics of slips.

Authors:  M S Redfern; R Cham; K Gielo-Perczak; R Grönqvist; M Hirvonen; H Lanshammar; M Marpet; C Y Pai; C Powers
Journal:  Ergonomics       Date:  2001-10-20       Impact factor: 2.778

2.  Changes in gait when anticipating slippery floors.

Authors:  Rakié Cham; Mark S Redfern
Journal:  Gait Posture       Date:  2002-04       Impact factor: 2.840

3.  Effects of age-related gait changes on the biomechanics of slips and falls.

Authors:  Thurmon E Lockhart; Jeffrey C Woldstad; James L Smith
Journal:  Ergonomics       Date:  2003-10-10       Impact factor: 2.778

4.  Motor Control Test responses to balance perturbations in adults with an intellectual disability.

Authors:  Leigh Hale; Rebekah Miller; Alice Barach; Margot Skinner; Andrew Gray
Journal:  J Intellect Dev Disabil       Date:  2009-03

5.  Risk factors for injuries and falls among adults with developmental disabilities.

Authors:  K Hsieh; T Heller; A B Miller
Journal:  J Intellect Disabil Res       Date:  2001-02

6.  Clinical tests of standing balance: performance of persons with multiple sclerosis.

Authors:  D Frzovic; M E Morris; L Vowels
Journal:  Arch Phys Med Rehabil       Date:  2000-02       Impact factor: 3.966

7.  Effects of a group exercise program on strength, mobility, and falls among fall-prone elderly men.

Authors:  L Z Rubenstein; K R Josephson; P R Trueblood; S Loy; J O Harker; F M Pietruszka; A S Robbins
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2000-06       Impact factor: 6.053

8.  Injury risk in young people with intellectual disability.

Authors:  J Sherrard; B J Tonge; J Ozanne-Smith
Journal:  J Intellect Disabil Res       Date:  2002-01

9.  Injury in young people with intellectual disability: descriptive epidemiology.

Authors:  J Sherrard; B J Tonge; J Ozanne-Smith
Journal:  Inj Prev       Date:  2001-03       Impact factor: 2.399

10.  Balance improvements in older women: effects of exercise training.

Authors:  J O Judge; C Lindsey; M Underwood; D Winsemius
Journal:  Phys Ther       Date:  1993-04
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  7 in total

1.  A Perturbation Mechanism for Investigations of Phase Variables in Human Locomotion.

Authors:  Dario J Villarreal; David Quintero; Robert D Gregg
Journal:  IEEE ROBIO       Date:  2015-12

2.  Parameterizing Human Locomotion Across Quasi-Random Treadmill Perturbations and Inclines.

Authors:  Rebecca Macaluso; Kyle Embry; Dario J Villarreal; Robert D Gregg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-03-02       Impact factor: 3.802

3.  A Perturbation Mechanism for Investigations of Phase-Dependent Behavior in Human Locomotion.

Authors:  Dario J Villarreal; David Quintero; Robert D Gregg
Journal:  IEEE Access       Date:  2016-02-29       Impact factor: 3.367

4.  A Robust Parameterization of Human Gait Patterns Across Phase-Shifting Perturbations.

Authors:  Dario J Villarreal; Hasan A Poonawala; Robert D Gregg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-05-13       Impact factor: 3.802

5.  Stair-Walking Performance in Adolescents with Intellectual Disabilities.

Authors:  Wann-Yun Shieh; Yan-Ying Ju; Yu-Chun Yu; Che-Kuan Lin; Yen-Tzu Lin; Hsin-Yi Kathy Cheng
Journal:  Sensors (Basel)       Date:  2016-07-11       Impact factor: 3.576

6.  Can Ensemble Deep Learning Identify People by Their Gait Using Data Collected from Multi-Modal Sensors in Their Insole?

Authors:  Jucheol Moon; Nelson Hebert Minaya; Nhat Anh Le; Hee-Chan Park; Sang-Il Choi
Journal:  Sensors (Basel)       Date:  2020-07-18       Impact factor: 3.576

7.  User Identification from Gait Analysis Using Multi-Modal Sensors in Smart Insole.

Authors:  Sang-Il Choi; Jucheol Moon; Hee-Chan Park; Sang Tae Choi
Journal:  Sensors (Basel)       Date:  2019-08-31       Impact factor: 3.576

  7 in total

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