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Gait disorders in the elderly and dual task gait analysis: a new approach for identifying motor phenotypes

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, January 2017
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Title
Gait disorders in the elderly and dual task gait analysis: a new approach for identifying motor phenotypes
Published in
Journal of NeuroEngineering and Rehabilitation, January 2017
DOI 10.1186/s12984-017-0218-1
Pubmed ID
Authors

Bernard Auvinet, Claude Touzard, François Montestruc, Arnaud Delafond, Vincent Goeb

Abstract

Gait disorders and gait analysis under single and dual-task conditions are topics of great interest, but very few studies have looked for the relevance of gait analysis under dual-task conditions in elderly people on the basis of a clinical approach. An observational study including 103 patients (mean age 76.3 ± 7.2, women 56%) suffering from gait disorders or memory impairment was conducted. Gait analysis under dual-task conditions was carried out for all patients. Brain MRI was performed in the absence of contra-indications. Three main gait variables were measured: walking speed, stride frequency, and stride regularity. For each gait variable, the dual task cost was computed and a quartile analysis was obtained. Nonparametric tests were used for all the comparisons (Wilcoxon, Kruskal-Wallis, Fisher or Chi(2) tests). Four clinical subgroups were identified: gait instability (45%), recurrent falls (29%), memory impairment (18%), and cautious gait (8%). The biomechanical severity of these subgroups was ordered according to walking speed and stride regularity under both conditions, from least to most serious as follows: memory impairment, gait instability, recurrent falls, cautious gait (p < 0.01 for walking speed, p = 0.05 for stride regularity). According to the established diagnoses of gait disorders, 5 main pathological subgroups were identified (musculoskeletal diseases (n = 11), vestibular diseases (n = 6), mild cognitive impairment (n = 24), central nervous system pathologies, (n = 51), and without diagnosis (n = 8)). The dual task cost for walking speed, stride frequency and stride regularity were different among these subgroups (p < 0.01). The subgroups mild cognitive impairment and central nervous system pathologies both showed together a higher dual task cost for each variable compared to the other subgroups combined (p = 0.01). The quartile analysis of dual task cost for stride frequency and stride regularity allowed the identification of 3 motor phenotypes (p < 0.01), without any difference for white matter hyperintensities, but with an increased Scheltens score from the first to the third motor phenotype (p = 0.05). Gait analysis under dual-task conditions in elderly people suffering from gait disorders or memory impairment is of great value in assessing the severity of gait disorders, differentiating between peripheral pathologies and central nervous system pathologies, and identifying motor phenotypes. Correlations between motor phenotypes and brain imaging require further studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 206 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 17%
Student > Master 30 15%
Student > Bachelor 21 10%
Researcher 15 7%
Student > Doctoral Student 11 5%
Other 29 14%
Unknown 64 31%
Readers by discipline Count As %
Medicine and Dentistry 32 16%
Nursing and Health Professions 23 11%
Neuroscience 23 11%
Engineering 14 7%
Sports and Recreations 11 5%
Other 26 13%
Unknown 77 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 March 2017.
All research outputs
#7,827,158
of 24,473,185 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#501
of 1,356 outputs
Outputs of similar age
#140,931
of 428,763 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#9
of 15 outputs
Altmetric has tracked 24,473,185 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,356 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 428,763 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.