Evidence map›Paper›PMID 37703264›Full record

ArticlePloS one2023

Overground gait adaptability in older adults with type 2 diabetes in response to virtual targets and physical obstacles.

Suzanne Martin, Simon B Taylor, Blynn L Shideler, Rajna Ogrin, Rezaul Begg

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Suzanne MartinInstitute of Health Exercise and Sport, Victoria University, Melbourne, Australia.ORCID 0000-0001-8363-097X
Simon B TaylorInstitute of Health Exercise and Sport, Victoria University, Melbourne, Australia.
Blynn L ShidelerSchool of Medicine, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-4520-9700
Rajna OgrinBolton Clarke Research Institute, Melbourne, Australia.
Rezaul BeggInstitute of Health Exercise and Sport, Victoria University, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo step over an unexpected obstacle, individuals adapt gait; they adjust step length in the anterior-posterior direction prior to the obstacle and minimum toe clearance height in the vertical direction during obstacle avoidance. Inability to adapt gait may lead to falls in older adults with diabetes as the results of the effects of diabetes on the sensory-motor control system. Therefore, this study aimed to investigate gait adaptability in older adults with diabetes. RESEARCH QUESTION: Would diabetes impair gait adaptability and increase sagittal foot adjustment errors?

methodsThree cohorts of 16 people were recruited: young adults (Group I), healthy older adults (Group II), and older adults with diabetes (Group III). Participants walked in baseline at their comfortable speeds. They then walked and responded to what was presented in gait adaptability tests, which included 40 trials with four random conditions: step shortening, step lengthening, obstacle avoiding, and walking through. Virtual step length targets were 40% of the baseline step length longer or shorter than the mean baseline step length; the actual obstacle was a 5-cm height across the walkway. A Vicon three-dimensional motion capture system and four A.M.T.I force plates were used to quantify spatiotemporal parameters of a gait cycle and sagittal foot adjustment errors (differences between desired and actual responses). Analyses of variance (ANOVA) repeated measured tests were used to investigate group and condition effects on dependent gait parameters at a significance level of 0.05.

resultsStatistical analyses of Group I (n = 16), Group II (n = 14) and Group III (n = 13) revealed that gait parameters did not differ between groups in baseline. However, they were significantly different in adaptability tests. Group III significantly increased their stance and double support times in adaptability tests, but these adaptations did not reduce their sagittal foot adjustment errors. They had the greatest step length errors and lowest toe-obstacle clearance, which could cause them to touch the obstacle more. SIGNIFICANCE: The presented gait adaptability tests may serve as entry tests for falls prevention programs.

Indexed as

Diabetes Mellitus, Type 2AgedFootGaitHumansLower ExtremityWalkingYoung Adult

Identifiers

PMID37703264
PMCPMC10499227

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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.