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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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Article details
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
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.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 64 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 64 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 9 14%
Researcher 9 14%
Student > Bachelor 7 11%
Student > Ph. D. Student 6 9%
Student > Doctoral Student 4 6%
Other 7 11%
Unknown 22 34%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Psychology 8 13%
Nursing and Health Professions 7 11%
Social Sciences 2 3%
Neuroscience 2 3%
Other 4 6%
Unknown 27 42%
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 25 July 2017.
All research outputs
#20,659,908
of 32,865,689 outputs
Outputs from Journal of Pain Research
#1,284
of 2,369 outputs
Outputs of similar age
#196,797
of 351,133 outputs
Outputs of similar age from Journal of Pain Research
#42
of 57 outputs
Altmetric has tracked 32,865,689 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,369 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 44th percentile – i.e., 44% 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 351,133 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.