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The relationship between foot arch measurements and walking parameters in children

Overview of attention for article published in BMC Pediatrics, January 2016
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Title
The relationship between foot arch measurements and walking parameters in children
Published in
BMC Pediatrics, January 2016
DOI 10.1186/s12887-016-0554-5
Pubmed ID
Authors

Simone V. Gill, Sara Keimig, Damian Kelty-Stephen, Ya-Ching Hung, Jeremy M. DeSilva

Abstract

Walking mechanics are influenced by body morphology. Foot arch height is one aspect of body morphology central to walking. However, generalizations about the relationship between arch height and walking are limited due to previous methodologies used for measuring the arch and the populations that have been studied. To gain the knowledge needed to support healthy gait in children and adults, we need to understand this relationship in unimpaired, typically developing children and adults using dynamic measures. The purpose of the current study was to examine the relationship between arch height and gait in a sample of healthy children and adults using dynamic measures. Data were collected from 638 participants (n = 254 children and n = 384 adults) at the Museum of Science, Boston (MOS) and from 18 4- to 8-year-olds at the Motor Development and Motor Control Laboratories. Digital footprints were used to calculate two arch indices: the Chippaux-Smirak (CSI) and the Keimig Indices (KI). The height of the navicular bone was measured. Gait parameters were captured with a mechanized gait carpet at the MOS and three-dimensional motion analyses and in-ground force plates in the Motor Development and Motor Control Laboratories. Linear regression analyses on data from the MOS confirmed that as age increases, step length increases. With a linear mixed effect regression model, we found that individuals who took longer steps had higher arches as measured by the KI. However, this relationship was no longer significant when only adults were included in the model. A model restricted to children found that amongst this sample, those with higher CSI and higher KI values take longer relative step lengths. Data from the Motor Development and Motor Control Laboratories showed that both CSI and KI added to the prediction; children with lower anterior ground reaction forces had higher CSI and higher KI values. Arch height indices were correlated with navicular height. These results suggest that more than one measure of the arch may be needed elucidate the relationship between arch height and gait.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 18%
Student > Ph. D. Student 12 12%
Student > Doctoral Student 11 11%
Student > Master 10 10%
Professor 5 5%
Other 16 16%
Unknown 26 27%
Readers by discipline Count As %
Medicine and Dentistry 16 16%
Nursing and Health Professions 14 14%
Sports and Recreations 12 12%
Engineering 6 6%
Agricultural and Biological Sciences 5 5%
Other 13 13%
Unknown 31 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 July 2018.
All research outputs
#14,638,545
of 23,881,329 outputs
Outputs from BMC Pediatrics
#1,835
of 3,143 outputs
Outputs of similar age
#206,613
of 400,982 outputs
Outputs of similar age from BMC Pediatrics
#18
of 34 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,143 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 40th percentile – i.e., 40% 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 400,982 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.