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The reactive leg drop: a simple and novel sensory-motor assessment to predict fall risk in older individuals

Overview of attention for article published in Journal of Neurophysiology, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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17 X users
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50 Mendeley
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Article details
Title
The reactive leg drop: a simple and novel sensory-motor assessment to predict fall risk in older individuals
Published in
Journal of Neurophysiology, January 2018
DOI 10.1152/jn.00713.2017
Pubmed ID
Authors
Abstract

There is need for a functional ability test that appropriately assesses the rapid integration of the sensory and motor systems required for older adults to recover from a slip. The purpose of this study was to assess the efficacy and reliability of a novel test, the reactive leg drop, for assessing sensory-motor function in older adults. Fourteen young (YW; mean age = 20yrs) and 11 older women (OW; mean age = 76yrs) participated in this study. For each drop, the leg was passively moved to full extension and then released. The subjects had to recognize their leg was free-falling and reactively kick up as quickly as possible during varying sensory conditions. To assess the leg drop's reliance on proprioception, other proprioceptive tests (e.g. patellar tendon reflexes and balance) were separately performed. Leg drops performed with the eyes closed (p=0.011) and with a blocked view of their leg (p=0.033) showed significant differences in drop angle between the YW and OW. Significant relationships between leg drop conditions and balance were observed in the OW that were not present within YW. When collapsed across groups, reflex latency was correlated with drop angle when the eyes were closed. The reactive leg drop was age sensitive, reliable, and likely reliant on proprioception, as shown by relationships to other sensory-motor assessments, such as balance and the patellar reflex. Although more research is needed, we propose that the reactive leg drop is an effective tool to assess sensory-motor integration in a manner that may mimic fall recovery.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 12%
Student > Master 6 12%
Student > Doctoral Student 5 10%
Student > Bachelor 4 8%
Researcher 4 8%
Other 6 12%
Unknown 19 38%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 7 14%
Sports and Recreations 7 14%
Medicine and Dentistry 5 10%
Engineering 3 6%
Unspecified 2 4%
Other 4 8%
Unknown 22 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 27 April 2023.
All research outputs
#3,999,971
of 31,883,986 outputs
Outputs from Journal of Neurophysiology
#693
of 9,125 outputs
Outputs of similar age
#68,388
of 478,669 outputs
Outputs of similar age from Journal of Neurophysiology
#10
of 101 outputs
Altmetric has tracked 31,883,986 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,125 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 92% 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 478,669 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.