↓ Skip to main content

Identification of gait domains and key gait variables following hip fracture

Overview of attention for article published in BMC Geriatrics, November 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
155 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identification of gait domains and key gait variables following hip fracture
Published in
BMC Geriatrics, November 2015
DOI 10.1186/s12877-015-0147-4
Pubmed ID
Authors

Pernille Thingstad, Thorlene Egerton, Espen F. Ihlen, Kristin Taraldsen, Rolf Moe-Nilssen, Jorunn L. Helbostad

Abstract

Restoration of gait is an important goal of rehabilitation after hip fracture. Numerous spatial and temporal gait variables have been reported in the literature, but beyond gait speed, there is little agreement on which gait variables should be reported and which are redundant in describing gait recovery following hip fracture. The aims of this study were to identify distinct domains of gait and key variables representing these domains, and to explore how known predictors of poor outcome after hip fracture were associated with these key variables. Spatial and temporal gait variables were collected four months following hip fracture in 249 participants using an electronic walkway (GAITRite®). From the initial set of 31 gait variables, 16 were selected following a systematic procedure. An explorative factor analysis with oblique (oblimin) rotation was performed, using principal component analysis for extraction of factors. Unique domains of gait and the variable best representing these domains were identified. Multiple regression analyses including six predictors; age, gender, fracture type, pain, global cognitive function and grip strength were performed for each of the identified key gait variables. Mean age of participants was 82.6 (SD = 6.0) years, 75 % were women, and mean gait speed was 0.6 (SD = 0.2) m/sec. The factor analysis revealed four distinct gait domains, and the key variables that best represented these domains were double support time, walk ratio, variability of step velocity, and single support asymmetry. Cognitive decline, low grip strength, extra capsular fracture and male gender, but not pain or age, were significant predictors of impaired gait. This work proposes four key variables to represent gait of older people after hip fracture. These core variables were associated with known predictors of poor outcome after hip fracture and should warrant further assessment to confirm their importance as outcome variables in addition to gait speed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Canada 1 <1%
Unknown 153 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 21%
Student > Bachelor 20 13%
Student > Ph. D. Student 19 12%
Researcher 15 10%
Other 9 6%
Other 24 15%
Unknown 36 23%
Readers by discipline Count As %
Medicine and Dentistry 36 23%
Nursing and Health Professions 28 18%
Sports and Recreations 12 8%
Agricultural and Biological Sciences 10 6%
Neuroscience 9 6%
Other 17 11%
Unknown 43 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 December 2015.
All research outputs
#15,351,847
of 22,835,198 outputs
Outputs from BMC Geriatrics
#2,341
of 3,188 outputs
Outputs of similar age
#226,074
of 386,429 outputs
Outputs of similar age from BMC Geriatrics
#35
of 50 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,188 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 386,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.