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Dove Medical Press

Exploring symptoms of somatization in chronic widespread pain: latent class analysis and the role of personality

Overview of attention for article published in Journal of Pain Research, July 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users
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1 Facebook page
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1 Google+ user

Citations

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8 Dimensions

Readers on

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59 Mendeley
Title
Exploring symptoms of somatization in chronic widespread pain: latent class analysis and the role of personality
Published in
Journal of Pain Research, July 2017
DOI 10.2147/jpr.s139700
Pubmed ID
Authors

Andrea Burri, Peter Hilpert, Peter McNair, Frances M Williams

Abstract

Chronic widespread musculoskeletal pain (CWP) is a condition manifesting varied co-symptomatology and considerable heterogeneity in symptom profiles. This poses an obstacle for disease definition and effective treatment. Latent class analysis (LCA) provides an opportunity to find subtypes of cases in multivariate data. In this study, LCA was used to investigate whether and how individuals with CWP could be classified according to 12 additional somatic symptoms (migraine headaches, insomnia, stiffness, etc.). In a second step, the role of psychological and coping factors for the severity of these co-symptoms was investigated. Data were available for a total of N = 3,057 individuals (mean age = 56.6 years), with 15.4% suffering from CWP. In the latter group, LCA resulted in a three-class solution (ngroup1 = 123; ngroup2 = 306; ngroup3 = 43) with groups differing in a graded fashion (i.e., severity) rather than qualitatively for somatic co-symptom endorsements. A consistent picture emerged, with individuals in the first group reporting the lowest scores and individuals in group 3 reporting the highest. Additionally, more co-symptomatology was associated with higher rates of anxiety sensitivity and depression, as well as more extraversion and emotional instability. No group differences for any of the coping strategies could be identified. The findings suggest that CWP has several detectable subtypes with distinct psychological correlates. The identification of CWP subgroups is important for understanding disease mechanisms and refining prognosis as well as stratifying patients in clinical trials and targeting specific treatment at the subgroups most likely to respond.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Researcher 8 14%
Student > Bachelor 7 12%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 4 7%
Other 7 12%
Unknown 19 32%
Readers by discipline Count As %
Medicine and Dentistry 14 24%
Nursing and Health Professions 7 12%
Psychology 7 12%
Neuroscience 2 3%
Mathematics 1 2%
Other 5 8%
Unknown 23 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 July 2017.
All research outputs
#14,519,165
of 25,584,565 outputs
Outputs from Journal of Pain Research
#937
of 1,969 outputs
Outputs of similar age
#157,247
of 327,299 outputs
Outputs of similar age from Journal of Pain Research
#33
of 59 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 51% 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 327,299 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.