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Pain, pain intensity and pain disability in high school students are differently associated with physical activity, screening hours and sleep

Overview of attention for article published in BMC Musculoskeletal Disorders, May 2017
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2 tweeters
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1 Facebook page

Citations

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14 Dimensions

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103 Mendeley
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Title
Pain, pain intensity and pain disability in high school students are differently associated with physical activity, screening hours and sleep
Published in
BMC Musculoskeletal Disorders, May 2017
DOI 10.1186/s12891-017-1557-6
Pubmed ID
Authors

Anabela G. Silva, Pedro Sa-Couto, Alexandra Queirós, Maritza Neto, Nelson P. Rocha

Abstract

Studies exploring the association between physical activity, screen time and sleep and pain usually focus on a limited number of painful body sites. Nevertheless, pain at different body sites is likely to be of different nature. Therefore, this study aims to explore and compare the association between time spent in self-reported physical activity, in screen based activities and sleeping and i) pain presence in the last 7-days for 9 different body sites; ii) pain intensity at 9 different body sites and iii) global disability. Nine hundred sixty nine students completed a questionnaire on pain, time spent in moderate and vigorous physical activity, screen based time watching TV/DVD, playing, using mobile phones and computers and sleeping hours. Univariate and multivariate associations between pain presence, pain intensity and disability and physical activity, screen based time and sleeping hours were investigated. Pain presence: sleeping remained in the multivariable model for the neck, mid back, wrists, knees and ankles/feet (OR 1.17 to 2.11); moderate physical activity remained in the multivariate model for the neck, shoulders, wrists, hips and ankles/feet (OR 1.06 to 1.08); vigorous physical activity remained in the multivariate model for mid back, knees and ankles/feet (OR 1.05 to 1.09) and screen time remained in the multivariate model for the low back (OR = 2.34. Pain intensity: screen time and moderate physical activity remained in the multivariable model for pain intensity at the neck, mid back, low back, shoulder, knees and ankles/feet (Rp(2) 0.02 to 0.04) and at the wrists (Rp(2) = 0.04), respectively. Disability showed no association with sleeping, screen time or physical activity. This study suggests both similarities and differences in the patterns of association between time spent in physical activity, sleeping and in screen based activities and pain presence at 8 different body sites. In addition, they also suggest that the factors associated with the presence of pain, pain intensity and pain associated disability are different.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 19%
Student > Master 18 17%
Student > Ph. D. Student 8 8%
Student > Doctoral Student 7 7%
Professor > Associate Professor 6 6%
Other 24 23%
Unknown 20 19%
Readers by discipline Count As %
Medicine and Dentistry 24 23%
Nursing and Health Professions 19 18%
Sports and Recreations 9 9%
Social Sciences 5 5%
Neuroscience 4 4%
Other 14 14%
Unknown 28 27%

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 10 March 2018.
All research outputs
#8,645,935
of 13,791,430 outputs
Outputs from BMC Musculoskeletal Disorders
#1,707
of 2,733 outputs
Outputs of similar age
#150,892
of 264,422 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#1
of 1 outputs
Altmetric has tracked 13,791,430 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,733 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 28th percentile – i.e., 28% 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 264,422 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them