Evidence map›Paper›PMID 25458148›Full record

ArticleJournal of biomechanics2014

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

Feng Yang, Yi-Chung Pai

Abstract read
In one paragraph

Article in Journal of biomechanics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Step width variability as a discriminator of age-related gait changes.Journal of neuroengineering and rehabilitation · 2020
    Pooled it
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  13. Reshaping Movement Distributions With Limit-Push Robotic Training.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Feng YangDepartment of Kinesiology, University of Texas at El Paso, El Paso, TX 79968, USA.
Yi-Chung PaiDepartment of Physical Therapy, University of Illinois at Chicago, 1919 West Taylor St., Room 426 (M/C 898) Chicago, IL 60612, USA. Electronic address: cpai@uic.edu.

Funding

ROLE OF WALKING STABILITY IN FALLS AMONG THE ELDERLYR01AG016727 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PAI, YI-CHUNG CLIVE · 1999 to 2007
$2.3M
MOTOR TRAINING FOR FALL PREVENTION: ADAPTATION AND RETENTION IN OLDER ADULTSR01AG029616 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PAI, YI-CHUNG CLIVE · 2008 to 2012
$1.6M
NIA NIH HHS AG29616NIA NIH HHS R01 AG016727NIA NIH HHS R01 AG029616NIA NIH HHS R01-AG16727
6 · The paper itself

Abstract

The primary purpose of this study was to systematically evaluate and compare the predictive power of falls for a battery of stability indices, obtained during normal walking among community-dwelling older adults. One hundred and eighty seven community-dwelling older adults participated in the study. After walking regularly for 20 strides on a walkway, participants were subjected to an unannounced slip during gait under the protection of a safety harness. Full body kinematics and kinetics were monitored during walking using a motion capture system synchronized with force plates. Stability variables, including feasible-stability-region measurement, margin of stability, the maximum Floquet multiplier, the Lyapunov exponents (short- and long-term), and the variability of gait parameters (including the step length, step width, and step time), were calculated for each subject. Sensitivity of predicting slip outcome (fall vs. recovery) was examined for each stability variable using logistic regression. Results showed that the feasible-stability-region measurement predicted fall incidence among these subjects with the highest sensitivity (68.4%). Except for the step width (with an sensitivity of 60.2%), no other stability variables could differentiate fallers from those who did not fall for the sample included in this study. The findings from the present study could provide guidance to identify individuals at increased risk of falling using the feasible-stability-region measurement or variability of the step width.

Indexed as

Accidental FallsPostural BalanceWalkingAgedBiomechanical PhenomenaFemaleGaitHumansLogistic ModelsMaleMotionRiskRisk AssessmentFall preventionFall risk screeningVariability

Identifiers

PMID25458148
PMCPMC4469383

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.