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Functional factors that are important correlates to physical activity in people with multiple sclerosis: a pilot study

Overview of attention for article published in Disability & Rehabilitation, June 2017
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Article details
Title
Functional factors that are important correlates to physical activity in people with multiple sclerosis: a pilot study
Published in
Disability & Rehabilitation, June 2017
DOI 10.1080/09638288.2017.1336647
Pubmed ID
Authors
Abstract

Identify functional factors that are important correlates to physical activity levels among people with multiple sclerosis. A total of eight functional tests were conducted and physical activity was objectively measured (Actigraph GT3X accelerometer) for one week in 34 people with multiple sclerosis. A corrected Akaike Information Criterion analysis was performed to identify the strongest correlates with moderate-to-vigorous physical activity, total activity and sedentary time. The multiple regression analysis converged on a model for moderate-to-vigorous physical activity (R(2) = 0.31, F = 6.97, p= 0.003) that included total strength of the less-affected leg (partial r = 0.46, p = 0.007) and average peg test performance (partial r = -0.30, p = 0.087). The model for total activity (R(2) = 0.40, F = 10.51, p < 0.001) included five times sit-to-stand performance (partial r= -0.44, p = 0.010) and total strength of the less-affected leg (partial r = 0.31, p = 0.077). The model for sedentary time (R(2)=0.22, F = 9.23, p = 0.005) only included total strength of the more affected leg (r= -0.47, p = 0.005). These results suggest that leg strength, manual dexterity and the ability to perform functional tasks may be important correlates with physical activity levels in people with multiple sclerosis. The findings of this pilot study can inform future investigations aiming to increase physical activity levels or develop improved rehabilitation protocols for people with multiple sclerosis. Implications for Rehabilitation Physical activity is an effective means of improving the symptoms associated with multiple sclerosis. Participation in physical activity by people with multiple sclerosis may be affected by functional factors such as leg strength, manual dexterity and the ability to rise from a seated position. Bilateral leg strength differences should be assessed and addressed in people with multiple sclerosis.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 60 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 60 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Student > Bachelor 7 12%
Student > Master 6 10%
Other 4 7%
Researcher 4 7%
Other 14 23%
Unknown 15 25%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 12 20%
Nursing and Health Professions 7 12%
Medicine and Dentistry 7 12%
Neuroscience 7 12%
Agricultural and Biological Sciences 2 3%
Other 7 12%
Unknown 18 30%
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 June 2017.
All research outputs
#24,763,244
of 34,372,222 outputs
Outputs from Disability & Rehabilitation
#3,502
of 4,759 outputs
Outputs of similar age
#252,108
of 365,636 outputs
Outputs of similar age from Disability & Rehabilitation
#41
of 61 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,759 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 17th percentile – i.e., 17% 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 365,636 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.