↓ Skip to main content

Chronic multisite pain in major depression and bipolar disorder: cross-sectional study of 149,611 participants in UK Biobank

Overview of attention for article published in BMC Psychiatry, December 2014
Altmetric Badge

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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
10 X users
facebook
1 Facebook page

Citations

dimensions_citation
86 Dimensions

Readers on

mendeley
90 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Chronic multisite pain in major depression and bipolar disorder: cross-sectional study of 149,611 participants in UK Biobank
Published in
BMC Psychiatry, December 2014
DOI 10.1186/s12888-014-0350-4
Pubmed ID
Authors

Barbara I Nicholl, Daniel Mackay, Breda Cullen, Daniel J Martin, Zia Ul-Haq, Frances S Mair, Jonathan Evans, Andrew M McIntosh, John Gallagher, Beverly Roberts, Ian J Deary, Jill P Pell, Daniel J Smith

Abstract

BackgroundChronic pain has a strong association with major depressive disorder (MDD), but there is a relative paucity of studies on the association between chronic multisite pain and bipolar disorder (BD). Such studies are required to help elucidate the complex biological and psychological overlap between pain and mood disorders. The aim of this study is to investigate the relationship between chronic multisite pain and mood disorder across the unipolar-bipolar spectrum.MethodsWe conducted a cross-sectional study of 149,611 UK Biobank participants. Self-reported depressive and bipolar features were used to categorise participants into MDD and BD groups and a non-mood disordered comparison group. Multinomial logistic regression was used to establish whether there was an association between extent of chronic pain (independent variable) and mood disorder category (dependent variable), using no pain as the referent category, and adjusting for a wide range of potential sociodemographic, lifestyle and comorbidity confounders.ResultsMultisite pain was significantly more prevalent in participants with BD and MDD, for example, 4¿7 pain sites: BD 5.8%, MDD 4.5%, and comparison group 1.8% (p¿<¿0.001). A relationship was observed between extent of chronic pain and risk of BD and persisted after adjusting for confounders (relative to individuals with no chronic pain): 2¿3 sites RRR of BD 1.84 (95% CI 1.61, 2.11); 4¿7 sites RRR of BD 2.39 (95%CI 1.88, 3.03) and widespread pain RRR of BD 2.37 (95%CI 1.73, 3.23). A similar relationship was observed between chronic pain and MDD: 2¿3 sites RRR of MDD 1.59 (95%CI 1.54, 1.65); 4¿7 sites RRR of MDD 2.13 (95%CI 1.98, 2.30); widespread pain RRR of MDD 1.86 (95%CI 1.66, 2.08).ConclusionsIndividuals who report chronic pain and multiple sites of pain are more likely to have MDD and are at higher risk of BD. These findings highlight an important aspect of comorbidity in MDD and BD and may have implications for understanding the shared neurobiology of chronic pain and mood disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Norway 1 1%
Unknown 88 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 18%
Student > Ph. D. Student 15 17%
Student > Bachelor 14 16%
Student > Doctoral Student 7 8%
Other 6 7%
Other 12 13%
Unknown 20 22%
Readers by discipline Count As %
Medicine and Dentistry 23 26%
Psychology 12 13%
Neuroscience 8 9%
Agricultural and Biological Sciences 6 7%
Social Sciences 5 6%
Other 13 14%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 February 2015.
All research outputs
#4,589,892
of 22,786,087 outputs
Outputs from BMC Psychiatry
#1,716
of 4,678 outputs
Outputs of similar age
#67,091
of 361,269 outputs
Outputs of similar age from BMC Psychiatry
#26
of 90 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 63% 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 361,269 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 81% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.