Literature DB >> 21899844

Limits of recovery against slip-induced falls while walking.

Feng Yang1, Tanvi Bhatt, Yi-Chung Pai.   

Abstract

Slip-induced falls in gait often have devastating consequences. The purposes of this study were 1) to select the determinants that can best discriminate the outcomes (recoveries or falls) of an unannounced slip induced in gait (and to find their corresponding threshold, i.e., the limits of recovery, which can clearly separate these two outcomes), and 2) to verify these results in a subset of repeated-slip trials. Based on the data collected from 69 young subjects during a slip induced in gait, nine different ways of combining the center of mass (COM) stability, the hip height, and its vertical velocity were investigated with the aid of logistic regression. The results revealed that the COM stability (s) and limb support (represented by the quotient of hip vertical velocity to hip height, S(hip)) recorded at the instant immediately prior to the recovery step touchdown were sufficiently sensitive to account for all (100%) variance in falls, and specific enough to account for nearly all (98.3%) variability in recoveries. This boundary (S(hip)=-0.22s-0.25), which quantifies the risk of falls in the stability-limb support quotient (s-S(hip)) domain, was fully verified using second-slip and third-slip trials (n=76) with classification of falls at 100% and recoveries at 98.6%. The severity of an actual fall is likely to be greater further below the boundary, while the likelihood of a fall diminishes above it. Finally, the slope of the boundary also indicates the tradeoff between the stability and limb support, whereby high stability can compensate for the insufficiency in limb support, or vice versa.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21899844      PMCID: PMC3390211          DOI: 10.1016/j.jbiomech.2011.08.018

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


  24 in total

1.  Deficient limb support is a major contributor to age differences in falling.

Authors:  Michael J Pavol; Yi-Chung Pai
Journal:  J Biomech       Date:  2006-07-28       Impact factor: 2.712

2.  Predicted threshold against backward balance loss in gait.

Authors:  Feng Yang; Frank C Anderson; Yi-Chung Pai
Journal:  J Biomech       Date:  2006-05-24       Impact factor: 2.712

Review 3.  Tripping without falling; lower limb strength, a limitation for balance recovery and a target for training in the elderly.

Authors:  Mirjam Pijnappels; Neil D Reeves; Constantinos N Maganaris; Jaap H van Dieën
Journal:  J Electromyogr Kinesiol       Date:  2007-08-29       Impact factor: 2.368

4.  Generalization of gait adaptation for fall prevention: from moveable platform to slippery floor.

Authors:  T Bhatt; Y C Pai
Journal:  J Neurophysiol       Date:  2008-12-10       Impact factor: 2.714

5.  Predicted threshold against backward balance loss following a slip in gait.

Authors:  Feng Yang; Frank C Anderson; Yi-Chung Pai
Journal:  J Biomech       Date:  2008-06-05       Impact factor: 2.712

6.  Correction of the inertial effect resulting from a plate moving under low-friction conditions.

Authors:  Feng Yang; Yi-Chung Pai
Journal:  J Biomech       Date:  2007-02-15       Impact factor: 2.712

7.  Immediate and latent interlimb transfer of gait stability adaptation following repeated exposure to slips.

Authors:  T Bhatt; Y-C Pai
Journal:  J Mot Behav       Date:  2008-09       Impact factor: 1.328

8.  Can observational training substitute motor training in preventing backward balance loss after an unexpected slip during walking?

Authors:  T Bhatt; Y-C Pai
Journal:  J Neurophysiol       Date:  2007-11-14       Impact factor: 2.714

9.  A risk model for the prediction of recurrent falls in community-dwelling elderly: a prospective cohort study.

Authors:  P A Stalenhoef; J P M Diederiks; J A Knottnerus; A D M Kester; H F J M Crebolder
Journal:  J Clin Epidemiol       Date:  2002-11       Impact factor: 6.437

10.  Role of stability and limb support in recovery against a fall following a novel slip induced in different daily activities.

Authors:  Feng Yang; Tanvi Bhatt; Yi-Chung Pai
Journal:  J Biomech       Date:  2009-06-10       Impact factor: 2.712

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  8 in total

1.  Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response.

Authors:  Amy R Sipp; Joseph T Gwin; Scott Makeig; Daniel P Ferris
Journal:  J Neurophysiol       Date:  2013-08-07       Impact factor: 2.714

2.  Generalization of treadmill-slip training to prevent a fall following a sudden (novel) slip in over-ground walking.

Authors:  Feng Yang; Tanvi Bhatt; Yi-Chung Pai
Journal:  J Biomech       Date:  2012-11-08       Impact factor: 2.712

3.  Can stability really predict an impending slip-related fall among older adults?

Authors:  Feng Yang; Yi-Chung Pai
Journal:  J Biomech       Date:  2014-10-14       Impact factor: 2.712

4.  Limb Collapse or Instability? Assessment on Cause of Falls.

Authors:  Shuaijie Wang; Xuan Liu; Yi-Chung Pai
Journal:  Ann Biomed Eng       Date:  2019-01-07       Impact factor: 3.934

5.  Contributions of muscles to mediolateral ground reaction force over a range of walking speeds.

Authors:  Chand T John; Ajay Seth; Michael H Schwartz; Scott L Delp
Journal:  J Biomech       Date:  2012-08-09       Impact factor: 2.712

6.  Neuromuscular determinants of slip-induced falls and recoveries in older adults.

Authors:  Andrew Sawers; Tanvi Bhatt
Journal:  J Neurophysiol       Date:  2018-07-11       Impact factor: 2.714

7.  An ecologically-controlled exoskeleton can improve balance recovery after slippage.

Authors:  V Monaco; P Tropea; F Aprigliano; D Martelli; A Parri; M Cortese; R Molino-Lova; N Vitiello; S Micera
Journal:  Sci Rep       Date:  2017-05-11       Impact factor: 4.379

8.  Neural Mechanisms Involved in Mental Imagery of Slip-Perturbation While Walking: A Preliminary fMRI Study.

Authors:  Tanvi Bhatt; Prakruti Patel; Shamali Dusane; Sophie R DelDonno; Scott A Langenecker
Journal:  Front Behav Neurosci       Date:  2018-09-26       Impact factor: 3.558

  8 in total

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