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Fear of Falling in People With Multiple Sclerosis: Which Clinical Characteristics Are Important?

Overview of attention for article published in Physical Therapy, April 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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29 tweeters
facebook
2 Facebook pages

Citations

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3 Dimensions

Readers on

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46 Mendeley
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Title
Fear of Falling in People With Multiple Sclerosis: Which Clinical Characteristics Are Important?
Published in
Physical Therapy, April 2017
DOI 10.1093/ptj/pzx044
Pubmed ID
Authors

Hanan Khalil, Alham Al-Shorman, Khalid El-Salem, Nour Abdo, Alia A. Alghwiri, Aseel Aburub, Sarah Shalabi, Firas Al-Mustafa

Abstract

Fear of falling (FOF) is an important risk indicator for health related outcomes and quality of life in patients with multiple sclerosis (MS). However, factors associated with FOF in MS are not well investigated. This study was done to explore predictors of FOF in this population. Seventy relapsing remitting patients with MS were evaluated. FOF was assessed using Fall Efficacy Scale-International (FES-I). Motor outcomes included: 30-second chair stand test (30s-CST), Berg Balance Scale, 10-Meter Walk Test (10-MWT) and 6-Minute Walk Test (6-MWT). Cognitive status was determined using Montréal Cognitive Assessment (MOCA) and Symbol Digit Modalities Test (SDMT). Affective factors including depression; fatigue and sleep were also assessed using Beck Depression Inventory (BDI), Modified Fatigue Impact Scale (MFIS), and Pittsburgh Sleep Quality Index (PSQI)respectively. FOF was significantly correlated with all motor and affective measures used. Howeve., a stepwise regression found that only BBS from motor measures, MOCA from cognitive measures, and sleep disorders from affective factors were significantly predictive of the FOF. FOF inpatients with MS is multifactorial and includes motor and non-motor factors. Thus, therapies that aim to reduce risk of falling in this population should address motor functions, cognitive abilities, and sleep quality.

Twitter Demographics

The data shown below were collected from the profiles of 29 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 24%
Student > Bachelor 6 13%
Student > Ph. D. Student 6 13%
Unspecified 5 11%
Other 5 11%
Other 12 26%
Unknown 1 2%
Readers by discipline Count As %
Nursing and Health Professions 12 26%
Unspecified 10 22%
Medicine and Dentistry 8 17%
Psychology 6 13%
Sports and Recreations 3 7%
Other 6 13%
Unknown 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 26 January 2018.
All research outputs
#677,776
of 12,830,746 outputs
Outputs from Physical Therapy
#106
of 1,478 outputs
Outputs of similar age
#24,894
of 259,755 outputs
Outputs of similar age from Physical Therapy
#3
of 24 outputs
Altmetric has tracked 12,830,746 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,478 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 259,755 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.