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Patterns of multisite pain and associations with risk factors

Overview of attention for article published in Pain (03043959), May 2013
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

policy
1 policy source
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9 X users
facebook
1 Facebook page
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1 clinical guideline source

Readers on

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186 Mendeley
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Article details
Title
Patterns of multisite pain and associations with risk factors
Published in
Pain (03043959), May 2013
DOI 10.1016/j.pain.2013.05.039
Pubmed ID
Authors
Abstract

To explore definitions for multisite pain, and compare associations with risk factors for different patterns of musculoskeletal pain, we analysed cross-sectional data from the Cultural and Psychosocial Influences on Disability (CUPID) study. The study sample comprised 12,410 adults aged 20-59 years from 47 occupational groups in 18 countries. A standardised questionnaire was used to collect information about pain in the past month at each of 10 anatomical sites, and about potential risk factors. Associations with pain outcomes were assessed by Poisson regression, and characterised by prevalence rate ratios (PRRs). Extensive pain, affecting 6-10 anatomical sites, was reported much more frequently than would be expected if the occurrence of pain at each site were independent (674 participants vs 41.9 expected). In comparison with pain involving only 1-3 sites, it showed much stronger associations (relative to no pain) with risk factors such as female sex (PRR 1.6 vs 1.1), older age (PRR 2.6 vs 1.1), somatising tendency (PRR 4.6 vs 1.3), and exposure to multiple physically stressing occupational activities (PRR 5.0 vs 1.4). After adjustment for number of sites with pain, these risk factors showed no additional association with a distribution of pain that was widespread according to the frequently used American College of Rheumatology criteria. Our analysis supports the classification of pain at multiple anatomical sites simply by the number of sites affected, and suggests that extensive pain differs importantly in its associations with risk factors from pain that is limited to only a small number of anatomical sites.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 186 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 %
Spain 3 2%
United Kingdom 2 1%
United States 1 <1%
Sri Lanka 1 <1%
Colombia 1 <1%
Australia 1 <1%
Unknown 177 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 27 15%
Student > Master 20 11%
Student > Ph. D. Student 18 10%
Other 15 8%
Student > Doctoral Student 13 7%
Other 48 26%
Unknown 45 24%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 48 26%
Nursing and Health Professions 19 10%
Psychology 16 9%
Engineering 7 4%
Agricultural and Biological Sciences 6 3%
Other 33 18%
Unknown 57 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 November 2018.
All research outputs
#3,790,589
of 34,526,284 outputs
Outputs from Pain (03043959)
#1,933
of 8,019 outputs
Outputs of similar age
#28,290
of 242,328 outputs
Outputs of similar age from Pain (03043959)
#22
of 117 outputs
Altmetric has tracked 34,526,284 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,019 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done well, scoring higher than 75% 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 242,328 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 88% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.